data
list |
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[
{
"ID": "378663a",
"Question Text": "What time is the online tutorial session starting?",
"Answer": {
"text": [
"11:00 am"
],
"answer_start": [
227
]
},
"Context": "There will be two tutorial sessions available each week with one hybrid session and one online session. The hybrid tutorial is on the Monday of the week at 9:00 am. whereas, the online session is on the Thursday of the week at 11:00 am."
},
{
"ID": "378638a",
"Question Text": "How many pre-requisite unit are there for COS30081?",
"Answer": {
"text": [
"two"
],
"answer_start": [
202
]
},
"Context": "COS30081 is an Artificial Intelligence major unit. The unit name is Fundamentals of Natural Language Processing (FNLP). Its unit code is COS30081. The unit has a total contact hours of 48 hours. It has two pre-requisite units which are COS20015 Fundamentals of Data Management and COS30019 Introduction to Artificial Intelligence. The unit is delivered in blended mode - physical and online. The unit is a portfolio unit which means the assesments are consist of lab tasks and assignments."
},
{
"ID": "378639a",
"Question Text": "How will the unit be delivered?",
"Answer": {
"text": [
"blended mode - physical and online"
],
"answer_start": [
356
]
},
"Context": "COS30081 is an Artificial Intelligence major unit. The unit name is Fundamentals of Natural Language Processing (FNLP). Its unit code is COS30081. The unit has a total contact hours of 48 hours. It has two pre-requisite units which are COS20015 Fundamentals of Data Management and COS30019 Introduction to Artificial Intelligence. The unit is delivered in blended mode - physical and online. The unit is a portfolio unit which means the assesments are consist of lab tasks and assignments."
},
{
"ID": "378641a",
"Question Text": "What are the pre-requisite units for COS30081?",
"Answer": {
"text": [
"COS20015 Fundamentals of Data Management and COS30019 Introduction to Artificial Intelligence"
],
"answer_start": [
236
]
},
"Context": "COS30081 is an Artificial Intelligence major unit. The unit name is Fundamentals of Natural Language Processing (FNLP). Its unit code is COS30081. The unit has a total contact hours of 48 hours. It has two pre-requisite units which are COS20015 Fundamentals of Data Management and COS30019 Introduction to Artificial Intelligence. The unit is delivered in blended mode - physical and online. The unit is a portfolio unit which means the assesments are consist of lab tasks and assignments."
},
{
"ID": "378642a",
"Question Text": "What is the total contact hours?",
"Answer": {
"text": [
"48 hours"
],
"answer_start": [
185
]
},
"Context": "COS30081 is an Artificial Intelligence major unit. The unit name is Fundamentals of Natural Language Processing (FNLP). Its unit code is COS30081. The unit has a total contact hours of 48 hours. It has two pre-requisite units which are COS20015 Fundamentals of Data Management and COS30019 Introduction to Artificial Intelligence. The unit is delivered in blended mode - physical and online. The unit is a portfolio unit which means the assesments are consist of lab tasks and assignments."
},
{
"ID": "378643a",
"Question Text": "What is the unit code of Fundamentals of Natural Language Processing?",
"Answer": {
"text": [
"COS30081"
],
"answer_start": [
137
]
},
"Context": "COS30081 is an Artificial Intelligence major unit. The unit name is Fundamentals of Natural Language Processing (FNLP). Its unit code is COS30081. The unit has a total contact hours of 48 hours. It has two pre-requisite units which are COS20015 Fundamentals of Data Management and COS30019 Introduction to Artificial Intelligence. The unit is delivered in blended mode - physical and online. The unit is a portfolio unit which means the assesments are consist of lab tasks and assignments."
},
{
"ID": "378644a",
"Question Text": "What is the unit name of COS30081?",
"Answer": {
"text": [
"Fundamentals of Natural Language Processing (FNLP)"
],
"answer_start": [
68
]
},
"Context": "COS30081 is an Artificial Intelligence major unit. The unit name is Fundamentals of Natural Language Processing (FNLP). Its unit code is COS30081. The unit has a total contact hours of 48 hours. It has two pre-requisite units which are COS20015 Fundamentals of Data Management and COS30019 Introduction to Artificial Intelligence. The unit is delivered in blended mode - physical and online. The unit is a portfolio unit which means the assesments are consist of lab tasks and assignments."
},
{
"ID": "378645a",
"Question Text": "What kind of unit is COS30081?",
"Answer": {
"text": [
"portfolio unit"
],
"answer_start": [
406
]
},
"Context": "COS30081 is an Artificial Intelligence major unit. The unit name is Fundamentals of Natural Language Processing (FNLP). Its unit code is COS30081. The unit has a total contact hours of 48 hours. It has two pre-requisite units which are COS20015 Fundamentals of Data Management and COS30019 Introduction to Artificial Intelligence. The unit is delivered in blended mode - physical and online. The unit is a portfolio unit which means the assesments are consist of lab tasks and assignments."
},
{
"ID": "378647a",
"Question Text": "What is COS0081?",
"Answer": {
"text": [
"Artificial Intelligence major unit"
],
"answer_start": [
15
]
},
"Context": "COS30081 is an Artificial Intelligence major unit. The unit name is Fundamentals of Natural Language Processing (FNLP). Its unit code is COS30081. The unit has a total contact hours of 48 hours. It has two pre-requisite units which are COS20015 Fundamentals of Data Management and COS30019 Introduction to Artificial Intelligence. The unit is delivered in blended mode - physical and online. The unit is a portfolio unit which means the assesments are consist of lab tasks and assignments."
},
{
"ID": "378648a",
"Question Text": "Where to access the tutorial material?",
"Answer": {
"text": [
"Canvas"
],
"answer_start": [
214
]
},
"Context": "There will be one lecture session on the Tuesday of the week at 9:00 am. All sessions or classes will be recorded. All the lecture and tutorial materials as well as the recordings for all sessions are available on Canvas."
},
{
"ID": "378649a",
"Question Text": "Where to access the recordings for the sessions?",
"Answer": {
"text": [
"Canvas"
],
"answer_start": [
214
]
},
"Context": "There will be one lecture session on the Tuesday of the week at 9:00 am. All sessions or classes will be recorded. All the lecture and tutorial materials as well as the recordings for all sessions are available on Canvas."
},
{
"ID": "378650a",
"Question Text": "Where to access the lecture material?",
"Answer": {
"text": [
"Canvas"
],
"answer_start": [
214
]
},
"Context": "There will be one lecture session on the Tuesday of the week at 9:00 am. All sessions or classes will be recorded. All the lecture and tutorial materials as well as the recordings for all sessions are available on Canvas."
},
{
"ID": "378652a",
"Question Text": "When is the lecture session?",
"Answer": {
"text": [
"Tuesday of the week at 9:00 am"
],
"answer_start": [
41
]
},
"Context": "There will be one lecture session on the Tuesday of the week at 9:00 am. All sessions or classes will be recorded. All the lecture and tutorial materials as well as the recordings for all sessions are available on Canvas."
},
{
"ID": "378653a",
"Question Text": "What time is the lecture session starting?",
"Answer": {
"text": [
"9:00 am"
],
"answer_start": [
64
]
},
"Context": "There will be one lecture session on the Tuesday of the week at 9:00 am. All sessions or classes will be recorded. All the lecture and tutorial materials as well as the recordings for all sessions are available on Canvas."
},
{
"ID": "378655a",
"Question Text": "How to access the materials of COS30081?",
"Answer": {
"text": [
"Canvas"
],
"answer_start": [
214
]
},
"Context": "There will be one lecture session on the Tuesday of the week at 9:00 am. All sessions or classes will be recorded. All the lecture and tutorial materials as well as the recordings for all sessions are available on Canvas."
},
{
"ID": "378656a",
"Question Text": "How many lecture session are there in a week?",
"Answer": {
"text": [
"one"
],
"answer_start": [
14
]
},
"Context": "There will be one lecture session on the Tuesday of the week at 9:00 am. All sessions or classes will be recorded. All the lecture and tutorial materials as well as the recordings for all sessions are available on Canvas."
},
{
"ID": "378657a",
"Question Text": "Are the classes recorded?",
"Answer": {
"text": [
"All sessions or classes will be recorded"
],
"answer_start": [
73
]
},
"Context": "There will be one lecture session on the Tuesday of the week at 9:00 am. All sessions or classes will be recorded. All the lecture and tutorial materials as well as the recordings for all sessions are available on Canvas."
},
{
"ID": "378659a",
"Question Text": "How many tutorial sessions are there in a week?",
"Answer": {
"text": [
"two"
],
"answer_start": [
14
]
},
"Context": "There will be two tutorial sessions available each week with one hybrid session and one online session. The hybrid tutorial is on the Monday of the week at 9:00 am. whereas, the online session is on the Thursday of the week at 11:00 am."
},
{
"ID": "378662a",
"Question Text": "What time is the hybrid tutorial session starting?",
"Answer": {
"text": [
"9:00 am"
],
"answer_start": [
156
]
},
"Context": "There will be two tutorial sessions available each week with one hybrid session and one online session. The hybrid tutorial is on the Monday of the week at 9:00 am. whereas, the online session is on the Thursday of the week at 11:00 am."
},
{
"ID": "378664a",
"Question Text": "When is the online tutorial session?",
"Answer": {
"text": [
"Thursday of the week at 11:00 am"
],
"answer_start": [
203
]
},
"Context": "There will be two tutorial sessions available each week with one hybrid session and one online session. The hybrid tutorial is on the Monday of the week at 9:00 am. whereas, the online session is on the Thursday of the week at 11:00 am."
},
{
"ID": "378665a",
"Question Text": "When is the hybrid tutorial class?",
"Answer": {
"text": [
"Monday of the week at 9:00 am"
],
"answer_start": [
134
]
},
"Context": "There will be two tutorial sessions available each week with one hybrid session and one online session. The hybrid tutorial is on the Monday of the week at 9:00 am. whereas, the online session is on the Thursday of the week at 11:00 am."
},
{
"ID": "378666a",
"Question Text": "Are there any penalty for late submission?",
"Answer": {
"text": [
"Unless an extension has been approved, late submissions will result in a penalty"
],
"answer_start": [
0
]
},
"Context": "Unless an extension has been approved, late submissions will result in a penalty. You will be penalised 10% of your mark for each working day the task is late, up to a maximum of 5 days. After 5 working days, a zero result will be recorded."
},
{
"ID": "378667a",
"Question Text": "What is the mark after 5 working days of late submission?",
"Answer": {
"text": [
"zero"
],
"answer_start": [
211
]
},
"Context": "Unless an extension has been approved, late submissions will result in a penalty. You will be penalised 10% of your mark for each working day the task is late, up to a maximum of 5 days. After 5 working days, a zero result will be recorded."
},
{
"ID": "378668a",
"Question Text": "What is the maximum days to submit late?",
"Answer": {
"text": [
"5 days"
],
"answer_start": [
179
]
},
"Context": "Unless an extension has been approved, late submissions will result in a penalty. You will be penalised 10% of your mark for each working day the task is late, up to a maximum of 5 days. After 5 working days, a zero result will be recorded."
},
{
"ID": "378671a",
"Question Text": "How many credit tasks are there?",
"Answer": {
"text": [
"one"
],
"answer_start": [
147
]
},
"Context": "There will be a total of 10 pass tasks. Each pass task is released at the start of each week and is due two weeks after its release. There will be one Credit task which will be made available on 8 April and due on 6 May. There will be one D & HD task for Distinction and High Distinction (D & HD) grade which will be made available on 9 May and due on 3 June. The minimum requirement to pass this unit is to submit a passable portfolio, which means all pass tasks must be submitted and marked as complete. To achieve credit (C) grade, all pass tasks and the credit task must be submitted and marked as complete. To achieve distinction (D), all pass tasks, credit task and the D & HD task must be submitted and obtain at least 70 marks for it. To achieve high distinction (HD), all pass tasks, credit task and the D & HD task must be submitted and obtain at least 80 marks for it."
},
{
"ID": "378672a",
"Question Text": "How many distinction tasks are there?",
"Answer": {
"text": [
"one"
],
"answer_start": [
235
]
},
"Context": "There will be a total of 10 pass tasks. Each pass task is released at the start of each week and is due two weeks after its release. There will be one Credit task which will be made available on 8 April and due on 6 May. There will be one D & HD task for Distinction and High Distinction (D & HD) grade which will be made available on 9 May and due on 3 June. The minimum requirement to pass this unit is to submit a passable portfolio, which means all pass tasks must be submitted and marked as complete. To achieve credit (C) grade, all pass tasks and the credit task must be submitted and marked as complete. To achieve distinction (D), all pass tasks, credit task and the D & HD task must be submitted and obtain at least 70 marks for it. To achieve high distinction (HD), all pass tasks, credit task and the D & HD task must be submitted and obtain at least 80 marks for it."
},
{
"ID": "378673a",
"Question Text": "How many marks will be penalised for each working day of late submission?",
"Answer": {
"text": [
"10%"
],
"answer_start": [
104
]
},
"Context": "Unless an extension has been approved, late submissions will result in a penalty. You will be penalised 10% of your mark for each working day the task is late, up to a maximum of 5 days. After 5 working days, a zero result will be recorded."
},
{
"ID": "378674a",
"Question Text": "What is the penalty for late submission?",
"Answer": {
"text": [
"10% of your mark for each working day the task is late"
],
"answer_start": [
104
]
},
"Context": "Unless an extension has been approved, late submissions will result in a penalty. You will be penalised 10% of your mark for each working day the task is late, up to a maximum of 5 days. After 5 working days, a zero result will be recorded."
},
{
"ID": "378676a",
"Question Text": "How many pass tasks are there in COS30081?",
"Answer": {
"text": [
"10"
],
"answer_start": [
25
]
},
"Context": "There will be a total of 10 pass tasks. Each pass task is released at the start of each week and is due two weeks after its release. There will be one Credit task which will be made available on 8 April and due on 6 May. There will be one D & HD task for Distinction and High Distinction (D & HD) grade which will be made available on 9 May and due on 3 June. The minimum requirement to pass this unit is to submit a passable portfolio, which means all pass tasks must be submitted and marked as complete. To achieve credit (C) grade, all pass tasks and the credit task must be submitted and marked as complete. To achieve distinction (D), all pass tasks, credit task and the D & HD task must be submitted and obtain at least 70 marks for it. To achieve high distinction (HD), all pass tasks, credit task and the D & HD task must be submitted and obtain at least 80 marks for it."
},
{
"ID": "378678a",
"Question Text": "How to achieve credit grade?",
"Answer": {
"text": [
"all pass tasks and the credit task must be submitted and marked as complete"
],
"answer_start": [
535
]
},
"Context": "There will be a total of 10 pass tasks. Each pass task is released at the start of each week and is due two weeks after its release. There will be one Credit task which will be made available on 8 April and due on 6 May. There will be one D & HD task for Distinction and High Distinction (D & HD) grade which will be made available on 9 May and due on 3 June. The minimum requirement to pass this unit is to submit a passable portfolio, which means all pass tasks must be submitted and marked as complete. To achieve credit (C) grade, all pass tasks and the credit task must be submitted and marked as complete. To achieve distinction (D), all pass tasks, credit task and the D & HD task must be submitted and obtain at least 70 marks for it. To achieve high distinction (HD), all pass tasks, credit task and the D & HD task must be submitted and obtain at least 80 marks for it."
},
{
"ID": "378682a",
"Question Text": "How to achieve Distinction grade?",
"Answer": {
"text": [
"all pass tasks, credit task and the D & HD task must be submitted"
],
"answer_start": [
640
]
},
"Context": "There will be a total of 10 pass tasks. Each pass task is released at the start of each week and is due two weeks after its release. There will be one Credit task which will be made available on 8 April and due on 6 May. There will be one D & HD task for Distinction and High Distinction (D & HD) grade which will be made available on 9 May and due on 3 June. The minimum requirement to pass this unit is to submit a passable portfolio, which means all pass tasks must be submitted and marked as complete. To achieve credit (C) grade, all pass tasks and the credit task must be submitted and marked as complete. To achieve distinction (D), all pass tasks, credit task and the D & HD task must be submitted and obtain at least 70 marks for it. To achieve high distinction (HD), all pass tasks, credit task and the D & HD task must be submitted and obtain at least 80 marks for it."
},
{
"ID": "378683a",
"Question Text": "How to achieve high distinction grade?",
"Answer": {
"text": [
"all pass tasks, credit task and the D & HD task must be submitted"
],
"answer_start": [
777
]
},
"Context": "There will be a total of 10 pass tasks. Each pass task is released at the start of each week and is due two weeks after its release. There will be one Credit task which will be made available on 8 April and due on 6 May. There will be one D & HD task for Distinction and High Distinction (D & HD) grade which will be made available on 9 May and due on 3 June. The minimum requirement to pass this unit is to submit a passable portfolio, which means all pass tasks must be submitted and marked as complete. To achieve credit (C) grade, all pass tasks and the credit task must be submitted and marked as complete. To achieve distinction (D), all pass tasks, credit task and the D & HD task must be submitted and obtain at least 70 marks for it. To achieve high distinction (HD), all pass tasks, credit task and the D & HD task must be submitted and obtain at least 80 marks for it."
},
{
"ID": "378686a",
"Question Text": "When are the pass tasks due?",
"Answer": {
"text": [
"two weeks after its release"
],
"answer_start": [
104
]
},
"Context": "There will be a total of 10 pass tasks. Each pass task is released at the start of each week and is due two weeks after its release. There will be one Credit task which will be made available on 8 April and due on 6 May. There will be one D & HD task for Distinction and High Distinction (D & HD) grade which will be made available on 9 May and due on 3 June. The minimum requirement to pass this unit is to submit a passable portfolio, which means all pass tasks must be submitted and marked as complete. To achieve credit (C) grade, all pass tasks and the credit task must be submitted and marked as complete. To achieve distinction (D), all pass tasks, credit task and the D & HD task must be submitted and obtain at least 70 marks for it. To achieve high distinction (HD), all pass tasks, credit task and the D & HD task must be submitted and obtain at least 80 marks for it."
},
{
"ID": "378689a",
"Question Text": "When are the pass tasks released?",
"Answer": {
"text": [
"start of each week"
],
"answer_start": [
74
]
},
"Context": "There will be a total of 10 pass tasks. Each pass task is released at the start of each week and is due two weeks after its release. There will be one Credit task which will be made available on 8 April and due on 6 May. There will be one D & HD task for Distinction and High Distinction (D & HD) grade which will be made available on 9 May and due on 3 June. The minimum requirement to pass this unit is to submit a passable portfolio, which means all pass tasks must be submitted and marked as complete. To achieve credit (C) grade, all pass tasks and the credit task must be submitted and marked as complete. To achieve distinction (D), all pass tasks, credit task and the D & HD task must be submitted and obtain at least 70 marks for it. To achieve high distinction (HD), all pass tasks, credit task and the D & HD task must be submitted and obtain at least 80 marks for it."
},
{
"ID": "378691a",
"Question Text": "When is the credit task due?",
"Answer": {
"text": [
"6 May"
],
"answer_start": [
214
]
},
"Context": "There will be a total of 10 pass tasks. Each pass task is released at the start of each week and is due two weeks after its release. There will be one Credit task which will be made available on 8 April and due on 6 May. There will be one D & HD task for Distinction and High Distinction (D & HD) grade which will be made available on 9 May and due on 3 June. The minimum requirement to pass this unit is to submit a passable portfolio, which means all pass tasks must be submitted and marked as complete. To achieve credit (C) grade, all pass tasks and the credit task must be submitted and marked as complete. To achieve distinction (D), all pass tasks, credit task and the D & HD task must be submitted and obtain at least 70 marks for it. To achieve high distinction (HD), all pass tasks, credit task and the D & HD task must be submitted and obtain at least 80 marks for it."
},
{
"ID": "378692a",
"Question Text": "When is the credit task released?",
"Answer": {
"text": [
"8 April"
],
"answer_start": [
195
]
},
"Context": "There will be a total of 10 pass tasks. Each pass task is released at the start of each week and is due two weeks after its release. There will be one Credit task which will be made available on 8 April and due on 6 May. There will be one D & HD task for Distinction and High Distinction (D & HD) grade which will be made available on 9 May and due on 3 June. The minimum requirement to pass this unit is to submit a passable portfolio, which means all pass tasks must be submitted and marked as complete. To achieve credit (C) grade, all pass tasks and the credit task must be submitted and marked as complete. To achieve distinction (D), all pass tasks, credit task and the D & HD task must be submitted and obtain at least 70 marks for it. To achieve high distinction (HD), all pass tasks, credit task and the D & HD task must be submitted and obtain at least 80 marks for it."
},
{
"ID": "378693a",
"Question Text": "When is the D & HD task due?",
"Answer": {
"text": [
"3 June"
],
"answer_start": [
352
]
},
"Context": "There will be a total of 10 pass tasks. Each pass task is released at the start of each week and is due two weeks after its release. There will be one Credit task which will be made available on 8 April and due on 6 May. There will be one D & HD task for Distinction and High Distinction (D & HD) grade which will be made available on 9 May and due on 3 June. The minimum requirement to pass this unit is to submit a passable portfolio, which means all pass tasks must be submitted and marked as complete. To achieve credit (C) grade, all pass tasks and the credit task must be submitted and marked as complete. To achieve distinction (D), all pass tasks, credit task and the D & HD task must be submitted and obtain at least 70 marks for it. To achieve high distinction (HD), all pass tasks, credit task and the D & HD task must be submitted and obtain at least 80 marks for it."
},
{
"ID": "378694a",
"Question Text": "When is the D & HD task released?",
"Answer": {
"text": [
"9 May"
],
"answer_start": [
335
]
},
"Context": "There will be a total of 10 pass tasks. Each pass task is released at the start of each week and is due two weeks after its release. There will be one Credit task which will be made available on 8 April and due on 6 May. There will be one D & HD task for Distinction and High Distinction (D & HD) grade which will be made available on 9 May and due on 3 June. The minimum requirement to pass this unit is to submit a passable portfolio, which means all pass tasks must be submitted and marked as complete. To achieve credit (C) grade, all pass tasks and the credit task must be submitted and marked as complete. To achieve distinction (D), all pass tasks, credit task and the D & HD task must be submitted and obtain at least 70 marks for it. To achieve high distinction (HD), all pass tasks, credit task and the D & HD task must be submitted and obtain at least 80 marks for it."
},
{
"ID": "378695a",
"Question Text": "What is the minimum requirement to pass the unit?",
"Answer": {
"text": [
"to submit a passable portfolio, which means all pass tasks must be submitted and marked as complete"
],
"answer_start": [
405
]
},
"Context": "There will be a total of 10 pass tasks. Each pass task is released at the start of each week and is due two weeks after its release. There will be one Credit task which will be made available on 8 April and due on 6 May. There will be one D & HD task for Distinction and High Distinction (D & HD) grade which will be made available on 9 May and due on 3 June. The minimum requirement to pass this unit is to submit a passable portfolio, which means all pass tasks must be submitted and marked as complete. To achieve credit (C) grade, all pass tasks and the credit task must be submitted and marked as complete. To achieve distinction (D), all pass tasks, credit task and the D & HD task must be submitted and obtain at least 70 marks for it. To achieve high distinction (HD), all pass tasks, credit task and the D & HD task must be submitted and obtain at least 80 marks for it."
},
{
"ID": "378696a",
"Question Text": "What is the minimum mark to achieve in D & HD task to get HD grade?",
"Answer": {
"text": [
"80"
],
"answer_start": [
863
]
},
"Context": "There will be a total of 10 pass tasks. Each pass task is released at the start of each week and is due two weeks after its release. There will be one Credit task which will be made available on 8 April and due on 6 May. There will be one D & HD task for Distinction and High Distinction (D & HD) grade which will be made available on 9 May and due on 3 June. The minimum requirement to pass this unit is to submit a passable portfolio, which means all pass tasks must be submitted and marked as complete. To achieve credit (C) grade, all pass tasks and the credit task must be submitted and marked as complete. To achieve distinction (D), all pass tasks, credit task and the D & HD task must be submitted and obtain at least 70 marks for it. To achieve high distinction (HD), all pass tasks, credit task and the D & HD task must be submitted and obtain at least 80 marks for it."
},
{
"ID": "378697a",
"Question Text": "What is the minimum mark to achieve in D & HD task to get D grade?",
"Answer": {
"text": [
"70"
],
"answer_start": [
726
]
},
"Context": "There will be a total of 10 pass tasks. Each pass task is released at the start of each week and is due two weeks after its release. There will be one Credit task which will be made available on 8 April and due on 6 May. There will be one D & HD task for Distinction and High Distinction (D & HD) grade which will be made available on 9 May and due on 3 June. The minimum requirement to pass this unit is to submit a passable portfolio, which means all pass tasks must be submitted and marked as complete. To achieve credit (C) grade, all pass tasks and the credit task must be submitted and marked as complete. To achieve distinction (D), all pass tasks, credit task and the D & HD task must be submitted and obtain at least 70 marks for it. To achieve high distinction (HD), all pass tasks, credit task and the D & HD task must be submitted and obtain at least 80 marks for it."
},
{
"ID": "378698a",
"Question Text": "What are the assessments for COS30081?",
"Answer": {
"text": [
"Portfolio (for Pass and Credit) which is an individual task with 100% Weighting and Portfolio and Interview (for Distinction and High Distinction) which is an individual task with 100% Weighting"
],
"answer_start": [
34
]
},
"Context": "The assessments for this unit are Portfolio (for Pass and Credit) which is an individual task with 100% Weighting and Portfolio and Interview (for Distinction and High Distinction) which is an individual task with 100% Weighting."
},
{
"ID": "378701a",
"Question Text": "What is the weighting of distinction and high distinction portfolio?",
"Answer": {
"text": [
"100%"
],
"answer_start": [
214
]
},
"Context": "The assessments for this unit are Portfolio (for Pass and Credit) which is an individual task with 100% Weighting and Portfolio and Interview (for Distinction and High Distinction) which is an individual task with 100% Weighting."
},
{
"ID": "378702a",
"Question Text": "What is the weighting of pass and credit portfolio?",
"Answer": {
"text": [
"100%"
],
"answer_start": [
99
]
},
"Context": "The assessments for this unit are Portfolio (for Pass and Credit) which is an individual task with 100% Weighting and Portfolio and Interview (for Distinction and High Distinction) which is an individual task with 100% Weighting."
},
{
"ID": "378706a",
"Question Text": "What is the schedule for Week 10 in COS30081?",
"Answer": {
"text": [
"Week 10 starts at 9 May - Topic: Performance Evaluation & Scaling up - Task & Assessment: Tutorial 10: Submission of Tutorial 10 and Pass Task #9"
],
"answer_start": [
1328
]
},
"Context": "The week by week schedule of the unit for Semester 1, 2022 can be observed below:\\nWeek 1 starts at 28 February - Topic: Introduction to NLP & Linguistics - Task & Assessment: Tutorial 1: Getting Started with Python\\nWeek 2 starts at 7 March - Topic: Word Tokenization: Dot product, Token improvement, Vocabulary - Task & Assessment: Tutorial 2: Word Tokenization and Pass Task #1\\nWeek 3 starts at 14 March - Topic: TF-IDF vectors: Bag of words, Vectorization, Topic modelling - Task & Assessment: Tutorial 3: TF-IDF and Pass Task #2\\nWeek 4 starts at 21 March - Topic: Semantic Analysis: LSA - Task & Assessment: Tutorial 4: Semantic Analysis and Pass Task #3\\nWeek 5 starts at 28 MMarch - Topic: Introduction to Deep Learning for NLP: Neural network, Word Vectors - Task & Assessment: Tutorial 5: Deep Learning Introduction and Pass Task #4\\nWeek 6 starts at 4 April - Topic: CNN basics and usage for NLP - Task & Assessment: Tutorial 6: Neural Networks & CNN and Pass Task #5\\nWeek 7 starts at 18 April - Topic: RNN & LSTM basics - Task & Assessment: Tutorial 7: RNN & LSTM and Pass Task #6\\nWeek 8 starts at 25 April - Topic: Transformer basics 1 - Task & Assessment: Tutorial 8: Transformer 1 and Pass Task #7\\nWeek 9 starts at 2 May - Topic: Transformer basics 2 - Task & Assessment: Tutorial 9: Transformer 2 and Pass Task #8\\nWeek 10 starts at 9 May - Topic: Performance Evaluation & Scaling up - Task & Assessment: Tutorial 10: Submission of Tutorial 10 and Pass Task #9\\nWeek 11 starts at 16 May - Topic: Showcase of Real-World Problems - Task & Assessment: Tutorial 11: Discussion of Assignment 2 and Pass Task #10\\nWeek 12 starts at 23 May - Topic: Conclusion and Wrap Up - Task & Assessment: Tutorial 12: Discussion of Assignment 2"
},
{
"ID": "378707a",
"Question Text": "What is the schedule for Week 11 in COS30081?",
"Answer": {
"text": [
"Week 11 starts at 16 May - Topic: Showcase of Real-World Problems - Task & Assessment: Tutorial 11: Discussion of Assignment 2 and Pass Task #10"
],
"answer_start": [
1474
]
},
"Context": "The week by week schedule of the unit for Semester 1, 2022 can be observed below:\\nWeek 1 starts at 28 February - Topic: Introduction to NLP & Linguistics - Task & Assessment: Tutorial 1: Getting Started with Python\\nWeek 2 starts at 7 March - Topic: Word Tokenization: Dot product, Token improvement, Vocabulary - Task & Assessment: Tutorial 2: Word Tokenization and Pass Task #1\\nWeek 3 starts at 14 March - Topic: TF-IDF vectors: Bag of words, Vectorization, Topic modelling - Task & Assessment: Tutorial 3: TF-IDF and Pass Task #2\\nWeek 4 starts at 21 March - Topic: Semantic Analysis: LSA - Task & Assessment: Tutorial 4: Semantic Analysis and Pass Task #3\\nWeek 5 starts at 28 MMarch - Topic: Introduction to Deep Learning for NLP: Neural network, Word Vectors - Task & Assessment: Tutorial 5: Deep Learning Introduction and Pass Task #4\\nWeek 6 starts at 4 April - Topic: CNN basics and usage for NLP - Task & Assessment: Tutorial 6: Neural Networks & CNN and Pass Task #5\\nWeek 7 starts at 18 April - Topic: RNN & LSTM basics - Task & Assessment: Tutorial 7: RNN & LSTM and Pass Task #6\\nWeek 8 starts at 25 April - Topic: Transformer basics 1 - Task & Assessment: Tutorial 8: Transformer 1 and Pass Task #7\\nWeek 9 starts at 2 May - Topic: Transformer basics 2 - Task & Assessment: Tutorial 9: Transformer 2 and Pass Task #8\\nWeek 10 starts at 9 May - Topic: Performance Evaluation & Scaling up - Task & Assessment: Tutorial 10: Submission of Tutorial 10 and Pass Task #9\\nWeek 11 starts at 16 May - Topic: Showcase of Real-World Problems - Task & Assessment: Tutorial 11: Discussion of Assignment 2 and Pass Task #10\\nWeek 12 starts at 23 May - Topic: Conclusion and Wrap Up - Task & Assessment: Tutorial 12: Discussion of Assignment 2"
},
{
"ID": "378708a",
"Question Text": "What is the schedule for Week 12 in COS30081?",
"Answer": {
"text": [
"Week 12 starts at 23 May - Topic: Conclusion and Wrap Up - Task & Assessment: Tutorial 12: Discussion of Assignment 2"
],
"answer_start": [
1619
]
},
"Context": "The week by week schedule of the unit for Semester 1, 2022 can be observed below:\\nWeek 1 starts at 28 February - Topic: Introduction to NLP & Linguistics - Task & Assessment: Tutorial 1: Getting Started with Python\\nWeek 2 starts at 7 March - Topic: Word Tokenization: Dot product, Token improvement, Vocabulary - Task & Assessment: Tutorial 2: Word Tokenization and Pass Task #1\\nWeek 3 starts at 14 March - Topic: TF-IDF vectors: Bag of words, Vectorization, Topic modelling - Task & Assessment: Tutorial 3: TF-IDF and Pass Task #2\\nWeek 4 starts at 21 March - Topic: Semantic Analysis: LSA - Task & Assessment: Tutorial 4: Semantic Analysis and Pass Task #3\\nWeek 5 starts at 28 MMarch - Topic: Introduction to Deep Learning for NLP: Neural network, Word Vectors - Task & Assessment: Tutorial 5: Deep Learning Introduction and Pass Task #4\\nWeek 6 starts at 4 April - Topic: CNN basics and usage for NLP - Task & Assessment: Tutorial 6: Neural Networks & CNN and Pass Task #5\\nWeek 7 starts at 18 April - Topic: RNN & LSTM basics - Task & Assessment: Tutorial 7: RNN & LSTM and Pass Task #6\\nWeek 8 starts at 25 April - Topic: Transformer basics 1 - Task & Assessment: Tutorial 8: Transformer 1 and Pass Task #7\\nWeek 9 starts at 2 May - Topic: Transformer basics 2 - Task & Assessment: Tutorial 9: Transformer 2 and Pass Task #8\\nWeek 10 starts at 9 May - Topic: Performance Evaluation & Scaling up - Task & Assessment: Tutorial 10: Submission of Tutorial 10 and Pass Task #9\\nWeek 11 starts at 16 May - Topic: Showcase of Real-World Problems - Task & Assessment: Tutorial 11: Discussion of Assignment 2 and Pass Task #10\\nWeek 12 starts at 23 May - Topic: Conclusion and Wrap Up - Task & Assessment: Tutorial 12: Discussion of Assignment 2"
},
{
"ID": "378709a",
"Question Text": "What is the schedule for Week 1 in COS30081?",
"Answer": {
"text": [
"Week 1 starts at 28 February - Topic: Introduction to NLP & Linguistics - Task & Assessment: Tutorial 1: Getting Started with Python"
],
"answer_start": [
82
]
},
"Context": "The week by week schedule of the unit for Semester 1, 2022 can be observed below:\\nWeek 1 starts at 28 February - Topic: Introduction to NLP & Linguistics - Task & Assessment: Tutorial 1: Getting Started with Python\\nWeek 2 starts at 7 March - Topic: Word Tokenization: Dot product, Token improvement, Vocabulary - Task & Assessment: Tutorial 2: Word Tokenization and Pass Task #1\\nWeek 3 starts at 14 March - Topic: TF-IDF vectors: Bag of words, Vectorization, Topic modelling - Task & Assessment: Tutorial 3: TF-IDF and Pass Task #2\\nWeek 4 starts at 21 March - Topic: Semantic Analysis: LSA - Task & Assessment: Tutorial 4: Semantic Analysis and Pass Task #3\\nWeek 5 starts at 28 MMarch - Topic: Introduction to Deep Learning for NLP: Neural network, Word Vectors - Task & Assessment: Tutorial 5: Deep Learning Introduction and Pass Task #4\\nWeek 6 starts at 4 April - Topic: CNN basics and usage for NLP - Task & Assessment: Tutorial 6: Neural Networks & CNN and Pass Task #5\\nWeek 7 starts at 18 April - Topic: RNN & LSTM basics - Task & Assessment: Tutorial 7: RNN & LSTM and Pass Task #6\\nWeek 8 starts at 25 April - Topic: Transformer basics 1 - Task & Assessment: Tutorial 8: Transformer 1 and Pass Task #7\\nWeek 9 starts at 2 May - Topic: Transformer basics 2 - Task & Assessment: Tutorial 9: Transformer 2 and Pass Task #8\\nWeek 10 starts at 9 May - Topic: Performance Evaluation & Scaling up - Task & Assessment: Tutorial 10: Submission of Tutorial 10 and Pass Task #9\\nWeek 11 starts at 16 May - Topic: Showcase of Real-World Problems - Task & Assessment: Tutorial 11: Discussion of Assignment 2 and Pass Task #10\\nWeek 12 starts at 23 May - Topic: Conclusion and Wrap Up - Task & Assessment: Tutorial 12: Discussion of Assignment 2"
},
{
"ID": "378710a",
"Question Text": "What is the schedule for Week 2 in COS30081?",
"Answer": {
"text": [
"Week 2 starts at 7 March - Topic: Word Tokenization: Dot product, Token improvement, Vocabulary - Task & Assessment: Tutorial 2: Word Tokenization and Pass Task #1"
],
"answer_start": [
215
]
},
"Context": "The week by week schedule of the unit for Semester 1, 2022 can be observed below:\\nWeek 1 starts at 28 February - Topic: Introduction to NLP & Linguistics - Task & Assessment: Tutorial 1: Getting Started with Python\\nWeek 2 starts at 7 March - Topic: Word Tokenization: Dot product, Token improvement, Vocabulary - Task & Assessment: Tutorial 2: Word Tokenization and Pass Task #1\\nWeek 3 starts at 14 March - Topic: TF-IDF vectors: Bag of words, Vectorization, Topic modelling - Task & Assessment: Tutorial 3: TF-IDF and Pass Task #2\\nWeek 4 starts at 21 March - Topic: Semantic Analysis: LSA - Task & Assessment: Tutorial 4: Semantic Analysis and Pass Task #3\\nWeek 5 starts at 28 MMarch - Topic: Introduction to Deep Learning for NLP: Neural network, Word Vectors - Task & Assessment: Tutorial 5: Deep Learning Introduction and Pass Task #4\\nWeek 6 starts at 4 April - Topic: CNN basics and usage for NLP - Task & Assessment: Tutorial 6: Neural Networks & CNN and Pass Task #5\\nWeek 7 starts at 18 April - Topic: RNN & LSTM basics - Task & Assessment: Tutorial 7: RNN & LSTM and Pass Task #6\\nWeek 8 starts at 25 April - Topic: Transformer basics 1 - Task & Assessment: Tutorial 8: Transformer 1 and Pass Task #7\\nWeek 9 starts at 2 May - Topic: Transformer basics 2 - Task & Assessment: Tutorial 9: Transformer 2 and Pass Task #8\\nWeek 10 starts at 9 May - Topic: Performance Evaluation & Scaling up - Task & Assessment: Tutorial 10: Submission of Tutorial 10 and Pass Task #9\\nWeek 11 starts at 16 May - Topic: Showcase of Real-World Problems - Task & Assessment: Tutorial 11: Discussion of Assignment 2 and Pass Task #10\\nWeek 12 starts at 23 May - Topic: Conclusion and Wrap Up - Task & Assessment: Tutorial 12: Discussion of Assignment 2"
},
{
"ID": "378711a",
"Question Text": "What is the schedule for Week 3 in COS30081?",
"Answer": {
"text": [
"Week 3 starts at 14 March - Topic: TF-IDF vectors: Bag of words, Vectorization, Topic modelling - Task & Assessment: Tutorial 3: TF-IDF and Pass Task #2"
],
"answer_start": [
379
]
},
"Context": "The week by week schedule of the unit for Semester 1, 2022 can be observed below:\\nWeek 1 starts at 28 February - Topic: Introduction to NLP & Linguistics - Task & Assessment: Tutorial 1: Getting Started with Python\\nWeek 2 starts at 7 March - Topic: Word Tokenization: Dot product, Token improvement, Vocabulary - Task & Assessment: Tutorial 2: Word Tokenization and Pass Task #1\\nWeek 3 starts at 14 March - Topic: TF-IDF vectors: Bag of words, Vectorization, Topic modelling - Task & Assessment: Tutorial 3: TF-IDF and Pass Task #2\\nWeek 4 starts at 21 March - Topic: Semantic Analysis: LSA - Task & Assessment: Tutorial 4: Semantic Analysis and Pass Task #3\\nWeek 5 starts at 28 MMarch - Topic: Introduction to Deep Learning for NLP: Neural network, Word Vectors - Task & Assessment: Tutorial 5: Deep Learning Introduction and Pass Task #4\\nWeek 6 starts at 4 April - Topic: CNN basics and usage for NLP - Task & Assessment: Tutorial 6: Neural Networks & CNN and Pass Task #5\\nWeek 7 starts at 18 April - Topic: RNN & LSTM basics - Task & Assessment: Tutorial 7: RNN & LSTM and Pass Task #6\\nWeek 8 starts at 25 April - Topic: Transformer basics 1 - Task & Assessment: Tutorial 8: Transformer 1 and Pass Task #7\\nWeek 9 starts at 2 May - Topic: Transformer basics 2 - Task & Assessment: Tutorial 9: Transformer 2 and Pass Task #8\\nWeek 10 starts at 9 May - Topic: Performance Evaluation & Scaling up - Task & Assessment: Tutorial 10: Submission of Tutorial 10 and Pass Task #9\\nWeek 11 starts at 16 May - Topic: Showcase of Real-World Problems - Task & Assessment: Tutorial 11: Discussion of Assignment 2 and Pass Task #10\\nWeek 12 starts at 23 May - Topic: Conclusion and Wrap Up - Task & Assessment: Tutorial 12: Discussion of Assignment 2"
},
{
"ID": "378712a",
"Question Text": "What is the schedule for Week 4 in COS30081?",
"Answer": {
"text": [
"Week 4 starts at 21 March - Topic: Semantic Analysis: LSA - Task & Assessment: Tutorial 4: Semantic Analysis and Pass Task #3"
],
"answer_start": [
533
]
},
"Context": "The week by week schedule of the unit for Semester 1, 2022 can be observed below:\\nWeek 1 starts at 28 February - Topic: Introduction to NLP & Linguistics - Task & Assessment: Tutorial 1: Getting Started with Python\\nWeek 2 starts at 7 March - Topic: Word Tokenization: Dot product, Token improvement, Vocabulary - Task & Assessment: Tutorial 2: Word Tokenization and Pass Task #1\\nWeek 3 starts at 14 March - Topic: TF-IDF vectors: Bag of words, Vectorization, Topic modelling - Task & Assessment: Tutorial 3: TF-IDF and Pass Task #2\\nWeek 4 starts at 21 March - Topic: Semantic Analysis: LSA - Task & Assessment: Tutorial 4: Semantic Analysis and Pass Task #3\\nWeek 5 starts at 28 MMarch - Topic: Introduction to Deep Learning for NLP: Neural network, Word Vectors - Task & Assessment: Tutorial 5: Deep Learning Introduction and Pass Task #4\\nWeek 6 starts at 4 April - Topic: CNN basics and usage for NLP - Task & Assessment: Tutorial 6: Neural Networks & CNN and Pass Task #5\\nWeek 7 starts at 18 April - Topic: RNN & LSTM basics - Task & Assessment: Tutorial 7: RNN & LSTM and Pass Task #6\\nWeek 8 starts at 25 April - Topic: Transformer basics 1 - Task & Assessment: Tutorial 8: Transformer 1 and Pass Task #7\\nWeek 9 starts at 2 May - Topic: Transformer basics 2 - Task & Assessment: Tutorial 9: Transformer 2 and Pass Task #8\\nWeek 10 starts at 9 May - Topic: Performance Evaluation & Scaling up - Task & Assessment: Tutorial 10: Submission of Tutorial 10 and Pass Task #9\\nWeek 11 starts at 16 May - Topic: Showcase of Real-World Problems - Task & Assessment: Tutorial 11: Discussion of Assignment 2 and Pass Task #10\\nWeek 12 starts at 23 May - Topic: Conclusion and Wrap Up - Task & Assessment: Tutorial 12: Discussion of Assignment 2"
},
{
"ID": "378713a",
"Question Text": "What is the schedule for Week 5 in COS30081?",
"Answer": {
"text": [
"Week 5 starts at 28 MMarch - Topic: Introduction to Deep Learning for NLP: Neural network, Word Vectors - Task & Assessment: Tutorial 5: Deep Learning Introduction and Pass Task #4"
],
"answer_start": [
660
]
},
"Context": "The week by week schedule of the unit for Semester 1, 2022 can be observed below:\\nWeek 1 starts at 28 February - Topic: Introduction to NLP & Linguistics - Task & Assessment: Tutorial 1: Getting Started with Python\\nWeek 2 starts at 7 March - Topic: Word Tokenization: Dot product, Token improvement, Vocabulary - Task & Assessment: Tutorial 2: Word Tokenization and Pass Task #1\\nWeek 3 starts at 14 March - Topic: TF-IDF vectors: Bag of words, Vectorization, Topic modelling - Task & Assessment: Tutorial 3: TF-IDF and Pass Task #2\\nWeek 4 starts at 21 March - Topic: Semantic Analysis: LSA - Task & Assessment: Tutorial 4: Semantic Analysis and Pass Task #3\\nWeek 5 starts at 28 MMarch - Topic: Introduction to Deep Learning for NLP: Neural network, Word Vectors - Task & Assessment: Tutorial 5: Deep Learning Introduction and Pass Task #4\\nWeek 6 starts at 4 April - Topic: CNN basics and usage for NLP - Task & Assessment: Tutorial 6: Neural Networks & CNN and Pass Task #5\\nWeek 7 starts at 18 April - Topic: RNN & LSTM basics - Task & Assessment: Tutorial 7: RNN & LSTM and Pass Task #6\\nWeek 8 starts at 25 April - Topic: Transformer basics 1 - Task & Assessment: Tutorial 8: Transformer 1 and Pass Task #7\\nWeek 9 starts at 2 May - Topic: Transformer basics 2 - Task & Assessment: Tutorial 9: Transformer 2 and Pass Task #8\\nWeek 10 starts at 9 May - Topic: Performance Evaluation & Scaling up - Task & Assessment: Tutorial 10: Submission of Tutorial 10 and Pass Task #9\\nWeek 11 starts at 16 May - Topic: Showcase of Real-World Problems - Task & Assessment: Tutorial 11: Discussion of Assignment 2 and Pass Task #10\\nWeek 12 starts at 23 May - Topic: Conclusion and Wrap Up - Task & Assessment: Tutorial 12: Discussion of Assignment 2"
},
{
"ID": "378714a",
"Question Text": "What is the schedule for Week 6 in COS30081?",
"Answer": {
"text": [
"Week 6 starts at 4 April - Topic: CNN basics and usage for NLP - Task & Assessment: Tutorial 6: Neural Networks & CNN and Pass Task #5"
],
"answer_start": [
842
]
},
"Context": "The week by week schedule of the unit for Semester 1, 2022 can be observed below:\\nWeek 1 starts at 28 February - Topic: Introduction to NLP & Linguistics - Task & Assessment: Tutorial 1: Getting Started with Python\\nWeek 2 starts at 7 March - Topic: Word Tokenization: Dot product, Token improvement, Vocabulary - Task & Assessment: Tutorial 2: Word Tokenization and Pass Task #1\\nWeek 3 starts at 14 March - Topic: TF-IDF vectors: Bag of words, Vectorization, Topic modelling - Task & Assessment: Tutorial 3: TF-IDF and Pass Task #2\\nWeek 4 starts at 21 March - Topic: Semantic Analysis: LSA - Task & Assessment: Tutorial 4: Semantic Analysis and Pass Task #3\\nWeek 5 starts at 28 MMarch - Topic: Introduction to Deep Learning for NLP: Neural network, Word Vectors - Task & Assessment: Tutorial 5: Deep Learning Introduction and Pass Task #4\\nWeek 6 starts at 4 April - Topic: CNN basics and usage for NLP - Task & Assessment: Tutorial 6: Neural Networks & CNN and Pass Task #5\\nWeek 7 starts at 18 April - Topic: RNN & LSTM basics - Task & Assessment: Tutorial 7: RNN & LSTM and Pass Task #6\\nWeek 8 starts at 25 April - Topic: Transformer basics 1 - Task & Assessment: Tutorial 8: Transformer 1 and Pass Task #7\\nWeek 9 starts at 2 May - Topic: Transformer basics 2 - Task & Assessment: Tutorial 9: Transformer 2 and Pass Task #8\\nWeek 10 starts at 9 May - Topic: Performance Evaluation & Scaling up - Task & Assessment: Tutorial 10: Submission of Tutorial 10 and Pass Task #9\\nWeek 11 starts at 16 May - Topic: Showcase of Real-World Problems - Task & Assessment: Tutorial 11: Discussion of Assignment 2 and Pass Task #10\\nWeek 12 starts at 23 May - Topic: Conclusion and Wrap Up - Task & Assessment: Tutorial 12: Discussion of Assignment 2"
},
{
"ID": "378715a",
"Question Text": "What is the schedule for Week 7 in COS30081?",
"Answer": {
"text": [
"Week 7 starts at 18 April - Topic: RNN & LSTM basics - Task & Assessment: Tutorial 7: RNN & LSTM and Pass Task #6"
],
"answer_start": [
977
]
},
"Context": "The week by week schedule of the unit for Semester 1, 2022 can be observed below:\\nWeek 1 starts at 28 February - Topic: Introduction to NLP & Linguistics - Task & Assessment: Tutorial 1: Getting Started with Python\\nWeek 2 starts at 7 March - Topic: Word Tokenization: Dot product, Token improvement, Vocabulary - Task & Assessment: Tutorial 2: Word Tokenization and Pass Task #1\\nWeek 3 starts at 14 March - Topic: TF-IDF vectors: Bag of words, Vectorization, Topic modelling - Task & Assessment: Tutorial 3: TF-IDF and Pass Task #2\\nWeek 4 starts at 21 March - Topic: Semantic Analysis: LSA - Task & Assessment: Tutorial 4: Semantic Analysis and Pass Task #3\\nWeek 5 starts at 28 MMarch - Topic: Introduction to Deep Learning for NLP: Neural network, Word Vectors - Task & Assessment: Tutorial 5: Deep Learning Introduction and Pass Task #4\\nWeek 6 starts at 4 April - Topic: CNN basics and usage for NLP - Task & Assessment: Tutorial 6: Neural Networks & CNN and Pass Task #5\\nWeek 7 starts at 18 April - Topic: RNN & LSTM basics - Task & Assessment: Tutorial 7: RNN & LSTM and Pass Task #6\\nWeek 8 starts at 25 April - Topic: Transformer basics 1 - Task & Assessment: Tutorial 8: Transformer 1 and Pass Task #7\\nWeek 9 starts at 2 May - Topic: Transformer basics 2 - Task & Assessment: Tutorial 9: Transformer 2 and Pass Task #8\\nWeek 10 starts at 9 May - Topic: Performance Evaluation & Scaling up - Task & Assessment: Tutorial 10: Submission of Tutorial 10 and Pass Task #9\\nWeek 11 starts at 16 May - Topic: Showcase of Real-World Problems - Task & Assessment: Tutorial 11: Discussion of Assignment 2 and Pass Task #10\\nWeek 12 starts at 23 May - Topic: Conclusion and Wrap Up - Task & Assessment: Tutorial 12: Discussion of Assignment 2"
},
{
"ID": "378716a",
"Question Text": "What is the schedule for Week 8 in COS30081?",
"Answer": {
"text": [
"Week 8 starts at 25 April - Topic: Transformer basics 1 - Task & Assessment: Tutorial 8: Transformer 1 and Pass Task #7"
],
"answer_start": [
1091
]
},
"Context": "The week by week schedule of the unit for Semester 1, 2022 can be observed below:\\nWeek 1 starts at 28 February - Topic: Introduction to NLP & Linguistics - Task & Assessment: Tutorial 1: Getting Started with Python\\nWeek 2 starts at 7 March - Topic: Word Tokenization: Dot product, Token improvement, Vocabulary - Task & Assessment: Tutorial 2: Word Tokenization and Pass Task #1\\nWeek 3 starts at 14 March - Topic: TF-IDF vectors: Bag of words, Vectorization, Topic modelling - Task & Assessment: Tutorial 3: TF-IDF and Pass Task #2\\nWeek 4 starts at 21 March - Topic: Semantic Analysis: LSA - Task & Assessment: Tutorial 4: Semantic Analysis and Pass Task #3\\nWeek 5 starts at 28 MMarch - Topic: Introduction to Deep Learning for NLP: Neural network, Word Vectors - Task & Assessment: Tutorial 5: Deep Learning Introduction and Pass Task #4\\nWeek 6 starts at 4 April - Topic: CNN basics and usage for NLP - Task & Assessment: Tutorial 6: Neural Networks & CNN and Pass Task #5\\nWeek 7 starts at 18 April - Topic: RNN & LSTM basics - Task & Assessment: Tutorial 7: RNN & LSTM and Pass Task #6\\nWeek 8 starts at 25 April - Topic: Transformer basics 1 - Task & Assessment: Tutorial 8: Transformer 1 and Pass Task #7\\nWeek 9 starts at 2 May - Topic: Transformer basics 2 - Task & Assessment: Tutorial 9: Transformer 2 and Pass Task #8\\nWeek 10 starts at 9 May - Topic: Performance Evaluation & Scaling up - Task & Assessment: Tutorial 10: Submission of Tutorial 10 and Pass Task #9\\nWeek 11 starts at 16 May - Topic: Showcase of Real-World Problems - Task & Assessment: Tutorial 11: Discussion of Assignment 2 and Pass Task #10\\nWeek 12 starts at 23 May - Topic: Conclusion and Wrap Up - Task & Assessment: Tutorial 12: Discussion of Assignment 2"
},
{
"ID": "378717a",
"Question Text": "What is the schedule for Week 9 in COS30081?",
"Answer": {
"text": [
"Week 9 starts at 2 May - Topic: Transformer basics 2 - Task & Assessment: Tutorial 9: Transformer 2 and Pass Task #8"
],
"answer_start": [
1211
]
},
"Context": "The week by week schedule of the unit for Semester 1, 2022 can be observed below:\\nWeek 1 starts at 28 February - Topic: Introduction to NLP & Linguistics - Task & Assessment: Tutorial 1: Getting Started with Python\\nWeek 2 starts at 7 March - Topic: Word Tokenization: Dot product, Token improvement, Vocabulary - Task & Assessment: Tutorial 2: Word Tokenization and Pass Task #1\\nWeek 3 starts at 14 March - Topic: TF-IDF vectors: Bag of words, Vectorization, Topic modelling - Task & Assessment: Tutorial 3: TF-IDF and Pass Task #2\\nWeek 4 starts at 21 March - Topic: Semantic Analysis: LSA - Task & Assessment: Tutorial 4: Semantic Analysis and Pass Task #3\\nWeek 5 starts at 28 MMarch - Topic: Introduction to Deep Learning for NLP: Neural network, Word Vectors - Task & Assessment: Tutorial 5: Deep Learning Introduction and Pass Task #4\\nWeek 6 starts at 4 April - Topic: CNN basics and usage for NLP - Task & Assessment: Tutorial 6: Neural Networks & CNN and Pass Task #5\\nWeek 7 starts at 18 April - Topic: RNN & LSTM basics - Task & Assessment: Tutorial 7: RNN & LSTM and Pass Task #6\\nWeek 8 starts at 25 April - Topic: Transformer basics 1 - Task & Assessment: Tutorial 8: Transformer 1 and Pass Task #7\\nWeek 9 starts at 2 May - Topic: Transformer basics 2 - Task & Assessment: Tutorial 9: Transformer 2 and Pass Task #8\\nWeek 10 starts at 9 May - Topic: Performance Evaluation & Scaling up - Task & Assessment: Tutorial 10: Submission of Tutorial 10 and Pass Task #9\\nWeek 11 starts at 16 May - Topic: Showcase of Real-World Problems - Task & Assessment: Tutorial 11: Discussion of Assignment 2 and Pass Task #10\\nWeek 12 starts at 23 May - Topic: Conclusion and Wrap Up - Task & Assessment: Tutorial 12: Discussion of Assignment 2"
},
{
"ID": "378718a",
"Question Text": "What is the tasks and assessments in Week 10 COS30081?",
"Answer": {
"text": [
"Tutorial 10: Submission of Tutorial 10 and Pass Task #9"
],
"answer_start": [
1418
]
},
"Context": "The week by week schedule of the unit for Semester 1, 2022 can be observed below:\\nWeek 1 starts at 28 February - Topic: Introduction to NLP & Linguistics - Task & Assessment: Tutorial 1: Getting Started with Python\\nWeek 2 starts at 7 March - Topic: Word Tokenization: Dot product, Token improvement, Vocabulary - Task & Assessment: Tutorial 2: Word Tokenization and Pass Task #1\\nWeek 3 starts at 14 March - Topic: TF-IDF vectors: Bag of words, Vectorization, Topic modelling - Task & Assessment: Tutorial 3: TF-IDF and Pass Task #2\\nWeek 4 starts at 21 March - Topic: Semantic Analysis: LSA - Task & Assessment: Tutorial 4: Semantic Analysis and Pass Task #3\\nWeek 5 starts at 28 MMarch - Topic: Introduction to Deep Learning for NLP: Neural network, Word Vectors - Task & Assessment: Tutorial 5: Deep Learning Introduction and Pass Task #4\\nWeek 6 starts at 4 April - Topic: CNN basics and usage for NLP - Task & Assessment: Tutorial 6: Neural Networks & CNN and Pass Task #5\\nWeek 7 starts at 18 April - Topic: RNN & LSTM basics - Task & Assessment: Tutorial 7: RNN & LSTM and Pass Task #6\\nWeek 8 starts at 25 April - Topic: Transformer basics 1 - Task & Assessment: Tutorial 8: Transformer 1 and Pass Task #7\\nWeek 9 starts at 2 May - Topic: Transformer basics 2 - Task & Assessment: Tutorial 9: Transformer 2 and Pass Task #8\\nWeek 10 starts at 9 May - Topic: Performance Evaluation & Scaling up - Task & Assessment: Tutorial 10: Submission of Tutorial 10 and Pass Task #9\\nWeek 11 starts at 16 May - Topic: Showcase of Real-World Problems - Task & Assessment: Tutorial 11: Discussion of Assignment 2 and Pass Task #10\\nWeek 12 starts at 23 May - Topic: Conclusion and Wrap Up - Task & Assessment: Tutorial 12: Discussion of Assignment 2"
},
{
"ID": "378719a",
"Question Text": "What is the tasks and assessments in Week 11 COS30081?",
"Answer": {
"text": [
"Tutorial 11: Discussion of Assignment 2 and Pass Task #10"
],
"answer_start": [
1561
]
},
"Context": "The week by week schedule of the unit for Semester 1, 2022 can be observed below:\\nWeek 1 starts at 28 February - Topic: Introduction to NLP & Linguistics - Task & Assessment: Tutorial 1: Getting Started with Python\\nWeek 2 starts at 7 March - Topic: Word Tokenization: Dot product, Token improvement, Vocabulary - Task & Assessment: Tutorial 2: Word Tokenization and Pass Task #1\\nWeek 3 starts at 14 March - Topic: TF-IDF vectors: Bag of words, Vectorization, Topic modelling - Task & Assessment: Tutorial 3: TF-IDF and Pass Task #2\\nWeek 4 starts at 21 March - Topic: Semantic Analysis: LSA - Task & Assessment: Tutorial 4: Semantic Analysis and Pass Task #3\\nWeek 5 starts at 28 MMarch - Topic: Introduction to Deep Learning for NLP: Neural network, Word Vectors - Task & Assessment: Tutorial 5: Deep Learning Introduction and Pass Task #4\\nWeek 6 starts at 4 April - Topic: CNN basics and usage for NLP - Task & Assessment: Tutorial 6: Neural Networks & CNN and Pass Task #5\\nWeek 7 starts at 18 April - Topic: RNN & LSTM basics - Task & Assessment: Tutorial 7: RNN & LSTM and Pass Task #6\\nWeek 8 starts at 25 April - Topic: Transformer basics 1 - Task & Assessment: Tutorial 8: Transformer 1 and Pass Task #7\\nWeek 9 starts at 2 May - Topic: Transformer basics 2 - Task & Assessment: Tutorial 9: Transformer 2 and Pass Task #8\\nWeek 10 starts at 9 May - Topic: Performance Evaluation & Scaling up - Task & Assessment: Tutorial 10: Submission of Tutorial 10 and Pass Task #9\\nWeek 11 starts at 16 May - Topic: Showcase of Real-World Problems - Task & Assessment: Tutorial 11: Discussion of Assignment 2 and Pass Task #10\\nWeek 12 starts at 23 May - Topic: Conclusion and Wrap Up - Task & Assessment: Tutorial 12: Discussion of Assignment 2"
},
{
"ID": "378720a",
"Question Text": "What is the tasks and assessments in Week 12 COS30081?",
"Answer": {
"text": [
"Tutorial 12: Discussion of Assignment 2"
],
"answer_start": [
1697
]
},
"Context": "The week by week schedule of the unit for Semester 1, 2022 can be observed below:\\nWeek 1 starts at 28 February - Topic: Introduction to NLP & Linguistics - Task & Assessment: Tutorial 1: Getting Started with Python\\nWeek 2 starts at 7 March - Topic: Word Tokenization: Dot product, Token improvement, Vocabulary - Task & Assessment: Tutorial 2: Word Tokenization and Pass Task #1\\nWeek 3 starts at 14 March - Topic: TF-IDF vectors: Bag of words, Vectorization, Topic modelling - Task & Assessment: Tutorial 3: TF-IDF and Pass Task #2\\nWeek 4 starts at 21 March - Topic: Semantic Analysis: LSA - Task & Assessment: Tutorial 4: Semantic Analysis and Pass Task #3\\nWeek 5 starts at 28 MMarch - Topic: Introduction to Deep Learning for NLP: Neural network, Word Vectors - Task & Assessment: Tutorial 5: Deep Learning Introduction and Pass Task #4\\nWeek 6 starts at 4 April - Topic: CNN basics and usage for NLP - Task & Assessment: Tutorial 6: Neural Networks & CNN and Pass Task #5\\nWeek 7 starts at 18 April - Topic: RNN & LSTM basics - Task & Assessment: Tutorial 7: RNN & LSTM and Pass Task #6\\nWeek 8 starts at 25 April - Topic: Transformer basics 1 - Task & Assessment: Tutorial 8: Transformer 1 and Pass Task #7\\nWeek 9 starts at 2 May - Topic: Transformer basics 2 - Task & Assessment: Tutorial 9: Transformer 2 and Pass Task #8\\nWeek 10 starts at 9 May - Topic: Performance Evaluation & Scaling up - Task & Assessment: Tutorial 10: Submission of Tutorial 10 and Pass Task #9\\nWeek 11 starts at 16 May - Topic: Showcase of Real-World Problems - Task & Assessment: Tutorial 11: Discussion of Assignment 2 and Pass Task #10\\nWeek 12 starts at 23 May - Topic: Conclusion and Wrap Up - Task & Assessment: Tutorial 12: Discussion of Assignment 2"
},
{
"ID": "378722a",
"Question Text": "What is the tasks and assessments in Week 1 COS30081?",
"Answer": {
"text": [
"Tutorial 1: Getting Started with Python"
],
"answer_start": [
175
]
},
"Context": "The week by week schedule of the unit for Semester 1, 2022 can be observed below:\\nWeek 1 starts at 28 February - Topic: Introduction to NLP & Linguistics - Task & Assessment: Tutorial 1: Getting Started with Python\\nWeek 2 starts at 7 March - Topic: Word Tokenization: Dot product, Token improvement, Vocabulary - Task & Assessment: Tutorial 2: Word Tokenization and Pass Task #1\\nWeek 3 starts at 14 March - Topic: TF-IDF vectors: Bag of words, Vectorization, Topic modelling - Task & Assessment: Tutorial 3: TF-IDF and Pass Task #2\\nWeek 4 starts at 21 March - Topic: Semantic Analysis: LSA - Task & Assessment: Tutorial 4: Semantic Analysis and Pass Task #3\\nWeek 5 starts at 28 MMarch - Topic: Introduction to Deep Learning for NLP: Neural network, Word Vectors - Task & Assessment: Tutorial 5: Deep Learning Introduction and Pass Task #4\\nWeek 6 starts at 4 April - Topic: CNN basics and usage for NLP - Task & Assessment: Tutorial 6: Neural Networks & CNN and Pass Task #5\\nWeek 7 starts at 18 April - Topic: RNN & LSTM basics - Task & Assessment: Tutorial 7: RNN & LSTM and Pass Task #6\\nWeek 8 starts at 25 April - Topic: Transformer basics 1 - Task & Assessment: Tutorial 8: Transformer 1 and Pass Task #7\\nWeek 9 starts at 2 May - Topic: Transformer basics 2 - Task & Assessment: Tutorial 9: Transformer 2 and Pass Task #8\\nWeek 10 starts at 9 May - Topic: Performance Evaluation & Scaling up - Task & Assessment: Tutorial 10: Submission of Tutorial 10 and Pass Task #9\\nWeek 11 starts at 16 May - Topic: Showcase of Real-World Problems - Task & Assessment: Tutorial 11: Discussion of Assignment 2 and Pass Task #10\\nWeek 12 starts at 23 May - Topic: Conclusion and Wrap Up - Task & Assessment: Tutorial 12: Discussion of Assignment 2"
},
{
"ID": "378723a",
"Question Text": "What is the tasks and assessments in Week 2 COS30081?",
"Answer": {
"text": [
"Tutorial 2: Word Tokenization and Pass Task #1"
],
"answer_start": [
332
]
},
"Context": "The week by week schedule of the unit for Semester 1, 2022 can be observed below:\\nWeek 1 starts at 28 February - Topic: Introduction to NLP & Linguistics - Task & Assessment: Tutorial 1: Getting Started with Python\\nWeek 2 starts at 7 March - Topic: Word Tokenization: Dot product, Token improvement, Vocabulary - Task & Assessment: Tutorial 2: Word Tokenization and Pass Task #1\\nWeek 3 starts at 14 March - Topic: TF-IDF vectors: Bag of words, Vectorization, Topic modelling - Task & Assessment: Tutorial 3: TF-IDF and Pass Task #2\\nWeek 4 starts at 21 March - Topic: Semantic Analysis: LSA - Task & Assessment: Tutorial 4: Semantic Analysis and Pass Task #3\\nWeek 5 starts at 28 MMarch - Topic: Introduction to Deep Learning for NLP: Neural network, Word Vectors - Task & Assessment: Tutorial 5: Deep Learning Introduction and Pass Task #4\\nWeek 6 starts at 4 April - Topic: CNN basics and usage for NLP - Task & Assessment: Tutorial 6: Neural Networks & CNN and Pass Task #5\\nWeek 7 starts at 18 April - Topic: RNN & LSTM basics - Task & Assessment: Tutorial 7: RNN & LSTM and Pass Task #6\\nWeek 8 starts at 25 April - Topic: Transformer basics 1 - Task & Assessment: Tutorial 8: Transformer 1 and Pass Task #7\\nWeek 9 starts at 2 May - Topic: Transformer basics 2 - Task & Assessment: Tutorial 9: Transformer 2 and Pass Task #8\\nWeek 10 starts at 9 May - Topic: Performance Evaluation & Scaling up - Task & Assessment: Tutorial 10: Submission of Tutorial 10 and Pass Task #9\\nWeek 11 starts at 16 May - Topic: Showcase of Real-World Problems - Task & Assessment: Tutorial 11: Discussion of Assignment 2 and Pass Task #10\\nWeek 12 starts at 23 May - Topic: Conclusion and Wrap Up - Task & Assessment: Tutorial 12: Discussion of Assignment 2"
},
{
"ID": "378724a",
"Question Text": "What is the tasks and assessments in Week 3 COS30081?",
"Answer": {
"text": [
"Tutorial 3: TF-IDF and Pass Task #2"
],
"answer_start": [
497
]
},
"Context": "The week by week schedule of the unit for Semester 1, 2022 can be observed below:\\nWeek 1 starts at 28 February - Topic: Introduction to NLP & Linguistics - Task & Assessment: Tutorial 1: Getting Started with Python\\nWeek 2 starts at 7 March - Topic: Word Tokenization: Dot product, Token improvement, Vocabulary - Task & Assessment: Tutorial 2: Word Tokenization and Pass Task #1\\nWeek 3 starts at 14 March - Topic: TF-IDF vectors: Bag of words, Vectorization, Topic modelling - Task & Assessment: Tutorial 3: TF-IDF and Pass Task #2\\nWeek 4 starts at 21 March - Topic: Semantic Analysis: LSA - Task & Assessment: Tutorial 4: Semantic Analysis and Pass Task #3\\nWeek 5 starts at 28 MMarch - Topic: Introduction to Deep Learning for NLP: Neural network, Word Vectors - Task & Assessment: Tutorial 5: Deep Learning Introduction and Pass Task #4\\nWeek 6 starts at 4 April - Topic: CNN basics and usage for NLP - Task & Assessment: Tutorial 6: Neural Networks & CNN and Pass Task #5\\nWeek 7 starts at 18 April - Topic: RNN & LSTM basics - Task & Assessment: Tutorial 7: RNN & LSTM and Pass Task #6\\nWeek 8 starts at 25 April - Topic: Transformer basics 1 - Task & Assessment: Tutorial 8: Transformer 1 and Pass Task #7\\nWeek 9 starts at 2 May - Topic: Transformer basics 2 - Task & Assessment: Tutorial 9: Transformer 2 and Pass Task #8\\nWeek 10 starts at 9 May - Topic: Performance Evaluation & Scaling up - Task & Assessment: Tutorial 10: Submission of Tutorial 10 and Pass Task #9\\nWeek 11 starts at 16 May - Topic: Showcase of Real-World Problems - Task & Assessment: Tutorial 11: Discussion of Assignment 2 and Pass Task #10\\nWeek 12 starts at 23 May - Topic: Conclusion and Wrap Up - Task & Assessment: Tutorial 12: Discussion of Assignment 2"
},
{
"ID": "378725a",
"Question Text": "What is the tasks and assessments in Week 4 COS30081?",
"Answer": {
"text": [
"Tutorial 4: Semantic Analysis and Pass Task #3"
],
"answer_start": [
613
]
},
"Context": "The week by week schedule of the unit for Semester 1, 2022 can be observed below:\\nWeek 1 starts at 28 February - Topic: Introduction to NLP & Linguistics - Task & Assessment: Tutorial 1: Getting Started with Python\\nWeek 2 starts at 7 March - Topic: Word Tokenization: Dot product, Token improvement, Vocabulary - Task & Assessment: Tutorial 2: Word Tokenization and Pass Task #1\\nWeek 3 starts at 14 March - Topic: TF-IDF vectors: Bag of words, Vectorization, Topic modelling - Task & Assessment: Tutorial 3: TF-IDF and Pass Task #2\\nWeek 4 starts at 21 March - Topic: Semantic Analysis: LSA - Task & Assessment: Tutorial 4: Semantic Analysis and Pass Task #3\\nWeek 5 starts at 28 MMarch - Topic: Introduction to Deep Learning for NLP: Neural network, Word Vectors - Task & Assessment: Tutorial 5: Deep Learning Introduction and Pass Task #4\\nWeek 6 starts at 4 April - Topic: CNN basics and usage for NLP - Task & Assessment: Tutorial 6: Neural Networks & CNN and Pass Task #5\\nWeek 7 starts at 18 April - Topic: RNN & LSTM basics - Task & Assessment: Tutorial 7: RNN & LSTM and Pass Task #6\\nWeek 8 starts at 25 April - Topic: Transformer basics 1 - Task & Assessment: Tutorial 8: Transformer 1 and Pass Task #7\\nWeek 9 starts at 2 May - Topic: Transformer basics 2 - Task & Assessment: Tutorial 9: Transformer 2 and Pass Task #8\\nWeek 10 starts at 9 May - Topic: Performance Evaluation & Scaling up - Task & Assessment: Tutorial 10: Submission of Tutorial 10 and Pass Task #9\\nWeek 11 starts at 16 May - Topic: Showcase of Real-World Problems - Task & Assessment: Tutorial 11: Discussion of Assignment 2 and Pass Task #10\\nWeek 12 starts at 23 May - Topic: Conclusion and Wrap Up - Task & Assessment: Tutorial 12: Discussion of Assignment 2"
},
{
"ID": "378727a",
"Question Text": "What is the tasks and assessments in Week 5 COS30081?",
"Answer": {
"text": [
"Tutorial 5: Deep Learning Introduction and Pass Task #4"
],
"answer_start": [
786
]
},
"Context": "The week by week schedule of the unit for Semester 1, 2022 can be observed below:\\nWeek 1 starts at 28 February - Topic: Introduction to NLP & Linguistics - Task & Assessment: Tutorial 1: Getting Started with Python\\nWeek 2 starts at 7 March - Topic: Word Tokenization: Dot product, Token improvement, Vocabulary - Task & Assessment: Tutorial 2: Word Tokenization and Pass Task #1\\nWeek 3 starts at 14 March - Topic: TF-IDF vectors: Bag of words, Vectorization, Topic modelling - Task & Assessment: Tutorial 3: TF-IDF and Pass Task #2\\nWeek 4 starts at 21 March - Topic: Semantic Analysis: LSA - Task & Assessment: Tutorial 4: Semantic Analysis and Pass Task #3\\nWeek 5 starts at 28 MMarch - Topic: Introduction to Deep Learning for NLP: Neural network, Word Vectors - Task & Assessment: Tutorial 5: Deep Learning Introduction and Pass Task #4\\nWeek 6 starts at 4 April - Topic: CNN basics and usage for NLP - Task & Assessment: Tutorial 6: Neural Networks & CNN and Pass Task #5\\nWeek 7 starts at 18 April - Topic: RNN & LSTM basics - Task & Assessment: Tutorial 7: RNN & LSTM and Pass Task #6\\nWeek 8 starts at 25 April - Topic: Transformer basics 1 - Task & Assessment: Tutorial 8: Transformer 1 and Pass Task #7\\nWeek 9 starts at 2 May - Topic: Transformer basics 2 - Task & Assessment: Tutorial 9: Transformer 2 and Pass Task #8\\nWeek 10 starts at 9 May - Topic: Performance Evaluation & Scaling up - Task & Assessment: Tutorial 10: Submission of Tutorial 10 and Pass Task #9\\nWeek 11 starts at 16 May - Topic: Showcase of Real-World Problems - Task & Assessment: Tutorial 11: Discussion of Assignment 2 and Pass Task #10\\nWeek 12 starts at 23 May - Topic: Conclusion and Wrap Up - Task & Assessment: Tutorial 12: Discussion of Assignment 2"
},
{
"ID": "378729a",
"Question Text": "What is the tasks and assessments in Week 6 COS30081?",
"Answer": {
"text": [
"Tutorial 6: Neural Networks & CNN and Pass Task #5"
],
"answer_start": [
926
]
},
"Context": "The week by week schedule of the unit for Semester 1, 2022 can be observed below:\\nWeek 1 starts at 28 February - Topic: Introduction to NLP & Linguistics - Task & Assessment: Tutorial 1: Getting Started with Python\\nWeek 2 starts at 7 March - Topic: Word Tokenization: Dot product, Token improvement, Vocabulary - Task & Assessment: Tutorial 2: Word Tokenization and Pass Task #1\\nWeek 3 starts at 14 March - Topic: TF-IDF vectors: Bag of words, Vectorization, Topic modelling - Task & Assessment: Tutorial 3: TF-IDF and Pass Task #2\\nWeek 4 starts at 21 March - Topic: Semantic Analysis: LSA - Task & Assessment: Tutorial 4: Semantic Analysis and Pass Task #3\\nWeek 5 starts at 28 MMarch - Topic: Introduction to Deep Learning for NLP: Neural network, Word Vectors - Task & Assessment: Tutorial 5: Deep Learning Introduction and Pass Task #4\\nWeek 6 starts at 4 April - Topic: CNN basics and usage for NLP - Task & Assessment: Tutorial 6: Neural Networks & CNN and Pass Task #5\\nWeek 7 starts at 18 April - Topic: RNN & LSTM basics - Task & Assessment: Tutorial 7: RNN & LSTM and Pass Task #6\\nWeek 8 starts at 25 April - Topic: Transformer basics 1 - Task & Assessment: Tutorial 8: Transformer 1 and Pass Task #7\\nWeek 9 starts at 2 May - Topic: Transformer basics 2 - Task & Assessment: Tutorial 9: Transformer 2 and Pass Task #8\\nWeek 10 starts at 9 May - Topic: Performance Evaluation & Scaling up - Task & Assessment: Tutorial 10: Submission of Tutorial 10 and Pass Task #9\\nWeek 11 starts at 16 May - Topic: Showcase of Real-World Problems - Task & Assessment: Tutorial 11: Discussion of Assignment 2 and Pass Task #10\\nWeek 12 starts at 23 May - Topic: Conclusion and Wrap Up - Task & Assessment: Tutorial 12: Discussion of Assignment 2"
},
{
"ID": "378730a",
"Question Text": "What is the tasks and assessments in Week 7 COS30081?",
"Answer": {
"text": [
"Tutorial 7: RNN & LSTM and Pass Task #6"
],
"answer_start": [
1051
]
},
"Context": "The week by week schedule of the unit for Semester 1, 2022 can be observed below:\\nWeek 1 starts at 28 February - Topic: Introduction to NLP & Linguistics - Task & Assessment: Tutorial 1: Getting Started with Python\\nWeek 2 starts at 7 March - Topic: Word Tokenization: Dot product, Token improvement, Vocabulary - Task & Assessment: Tutorial 2: Word Tokenization and Pass Task #1\\nWeek 3 starts at 14 March - Topic: TF-IDF vectors: Bag of words, Vectorization, Topic modelling - Task & Assessment: Tutorial 3: TF-IDF and Pass Task #2\\nWeek 4 starts at 21 March - Topic: Semantic Analysis: LSA - Task & Assessment: Tutorial 4: Semantic Analysis and Pass Task #3\\nWeek 5 starts at 28 MMarch - Topic: Introduction to Deep Learning for NLP: Neural network, Word Vectors - Task & Assessment: Tutorial 5: Deep Learning Introduction and Pass Task #4\\nWeek 6 starts at 4 April - Topic: CNN basics and usage for NLP - Task & Assessment: Tutorial 6: Neural Networks & CNN and Pass Task #5\\nWeek 7 starts at 18 April - Topic: RNN & LSTM basics - Task & Assessment: Tutorial 7: RNN & LSTM and Pass Task #6\\nWeek 8 starts at 25 April - Topic: Transformer basics 1 - Task & Assessment: Tutorial 8: Transformer 1 and Pass Task #7\\nWeek 9 starts at 2 May - Topic: Transformer basics 2 - Task & Assessment: Tutorial 9: Transformer 2 and Pass Task #8\\nWeek 10 starts at 9 May - Topic: Performance Evaluation & Scaling up - Task & Assessment: Tutorial 10: Submission of Tutorial 10 and Pass Task #9\\nWeek 11 starts at 16 May - Topic: Showcase of Real-World Problems - Task & Assessment: Tutorial 11: Discussion of Assignment 2 and Pass Task #10\\nWeek 12 starts at 23 May - Topic: Conclusion and Wrap Up - Task & Assessment: Tutorial 12: Discussion of Assignment 2"
},
{
"ID": "378731a",
"Question Text": "What is the tasks and assessments in Week 8 COS30081?",
"Answer": {
"text": [
"Tutorial 8: Transformer 1 and Pass Task #7"
],
"answer_start": [
1168
]
},
"Context": "The week by week schedule of the unit for Semester 1, 2022 can be observed below:\\nWeek 1 starts at 28 February - Topic: Introduction to NLP & Linguistics - Task & Assessment: Tutorial 1: Getting Started with Python\\nWeek 2 starts at 7 March - Topic: Word Tokenization: Dot product, Token improvement, Vocabulary - Task & Assessment: Tutorial 2: Word Tokenization and Pass Task #1\\nWeek 3 starts at 14 March - Topic: TF-IDF vectors: Bag of words, Vectorization, Topic modelling - Task & Assessment: Tutorial 3: TF-IDF and Pass Task #2\\nWeek 4 starts at 21 March - Topic: Semantic Analysis: LSA - Task & Assessment: Tutorial 4: Semantic Analysis and Pass Task #3\\nWeek 5 starts at 28 MMarch - Topic: Introduction to Deep Learning for NLP: Neural network, Word Vectors - Task & Assessment: Tutorial 5: Deep Learning Introduction and Pass Task #4\\nWeek 6 starts at 4 April - Topic: CNN basics and usage for NLP - Task & Assessment: Tutorial 6: Neural Networks & CNN and Pass Task #5\\nWeek 7 starts at 18 April - Topic: RNN & LSTM basics - Task & Assessment: Tutorial 7: RNN & LSTM and Pass Task #6\\nWeek 8 starts at 25 April - Topic: Transformer basics 1 - Task & Assessment: Tutorial 8: Transformer 1 and Pass Task #7\\nWeek 9 starts at 2 May - Topic: Transformer basics 2 - Task & Assessment: Tutorial 9: Transformer 2 and Pass Task #8\\nWeek 10 starts at 9 May - Topic: Performance Evaluation & Scaling up - Task & Assessment: Tutorial 10: Submission of Tutorial 10 and Pass Task #9\\nWeek 11 starts at 16 May - Topic: Showcase of Real-World Problems - Task & Assessment: Tutorial 11: Discussion of Assignment 2 and Pass Task #10\\nWeek 12 starts at 23 May - Topic: Conclusion and Wrap Up - Task & Assessment: Tutorial 12: Discussion of Assignment 2"
},
{
"ID": "378732a",
"Question Text": "What is the tasks and assessments in Week 9 COS30081?",
"Answer": {
"text": [
"Tutorial 9: Transformer 2 and Pass Task #8"
],
"answer_start": [
1285
]
},
"Context": "The week by week schedule of the unit for Semester 1, 2022 can be observed below:\\nWeek 1 starts at 28 February - Topic: Introduction to NLP & Linguistics - Task & Assessment: Tutorial 1: Getting Started with Python\\nWeek 2 starts at 7 March - Topic: Word Tokenization: Dot product, Token improvement, Vocabulary - Task & Assessment: Tutorial 2: Word Tokenization and Pass Task #1\\nWeek 3 starts at 14 March - Topic: TF-IDF vectors: Bag of words, Vectorization, Topic modelling - Task & Assessment: Tutorial 3: TF-IDF and Pass Task #2\\nWeek 4 starts at 21 March - Topic: Semantic Analysis: LSA - Task & Assessment: Tutorial 4: Semantic Analysis and Pass Task #3\\nWeek 5 starts at 28 MMarch - Topic: Introduction to Deep Learning for NLP: Neural network, Word Vectors - Task & Assessment: Tutorial 5: Deep Learning Introduction and Pass Task #4\\nWeek 6 starts at 4 April - Topic: CNN basics and usage for NLP - Task & Assessment: Tutorial 6: Neural Networks & CNN and Pass Task #5\\nWeek 7 starts at 18 April - Topic: RNN & LSTM basics - Task & Assessment: Tutorial 7: RNN & LSTM and Pass Task #6\\nWeek 8 starts at 25 April - Topic: Transformer basics 1 - Task & Assessment: Tutorial 8: Transformer 1 and Pass Task #7\\nWeek 9 starts at 2 May - Topic: Transformer basics 2 - Task & Assessment: Tutorial 9: Transformer 2 and Pass Task #8\\nWeek 10 starts at 9 May - Topic: Performance Evaluation & Scaling up - Task & Assessment: Tutorial 10: Submission of Tutorial 10 and Pass Task #9\\nWeek 11 starts at 16 May - Topic: Showcase of Real-World Problems - Task & Assessment: Tutorial 11: Discussion of Assignment 2 and Pass Task #10\\nWeek 12 starts at 23 May - Topic: Conclusion and Wrap Up - Task & Assessment: Tutorial 12: Discussion of Assignment 2"
},
{
"ID": "378734a",
"Question Text": "What is the topic for COS30081 Week 1?",
"Answer": {
"text": [
"Introduction to NLP & Linguistics"
],
"answer_start": [
120
]
},
"Context": "The week by week schedule of the unit for Semester 1, 2022 can be observed below:\\nWeek 1 starts at 28 February - Topic: Introduction to NLP & Linguistics - Task & Assessment: Tutorial 1: Getting Started with Python\\nWeek 2 starts at 7 March - Topic: Word Tokenization: Dot product, Token improvement, Vocabulary - Task & Assessment: Tutorial 2: Word Tokenization and Pass Task #1\\nWeek 3 starts at 14 March - Topic: TF-IDF vectors: Bag of words, Vectorization, Topic modelling - Task & Assessment: Tutorial 3: TF-IDF and Pass Task #2\\nWeek 4 starts at 21 March - Topic: Semantic Analysis: LSA - Task & Assessment: Tutorial 4: Semantic Analysis and Pass Task #3\\nWeek 5 starts at 28 MMarch - Topic: Introduction to Deep Learning for NLP: Neural network, Word Vectors - Task & Assessment: Tutorial 5: Deep Learning Introduction and Pass Task #4\\nWeek 6 starts at 4 April - Topic: CNN basics and usage for NLP - Task & Assessment: Tutorial 6: Neural Networks & CNN and Pass Task #5\\nWeek 7 starts at 18 April - Topic: RNN & LSTM basics - Task & Assessment: Tutorial 7: RNN & LSTM and Pass Task #6\\nWeek 8 starts at 25 April - Topic: Transformer basics 1 - Task & Assessment: Tutorial 8: Transformer 1 and Pass Task #7\\nWeek 9 starts at 2 May - Topic: Transformer basics 2 - Task & Assessment: Tutorial 9: Transformer 2 and Pass Task #8\\nWeek 10 starts at 9 May - Topic: Performance Evaluation & Scaling up - Task & Assessment: Tutorial 10: Submission of Tutorial 10 and Pass Task #9\\nWeek 11 starts at 16 May - Topic: Showcase of Real-World Problems - Task & Assessment: Tutorial 11: Discussion of Assignment 2 and Pass Task #10\\nWeek 12 starts at 23 May - Topic: Conclusion and Wrap Up - Task & Assessment: Tutorial 12: Discussion of Assignment 2"
},
{
"ID": "378736a",
"Question Text": "What is the topic for COS30081 Week 10?",
"Answer": {
"text": [
"Performance Evaluation & Scaling up"
],
"answer_start": [
1361
]
},
"Context": "The week by week schedule of the unit for Semester 1, 2022 can be observed below:\\nWeek 1 starts at 28 February - Topic: Introduction to NLP & Linguistics - Task & Assessment: Tutorial 1: Getting Started with Python\\nWeek 2 starts at 7 March - Topic: Word Tokenization: Dot product, Token improvement, Vocabulary - Task & Assessment: Tutorial 2: Word Tokenization and Pass Task #1\\nWeek 3 starts at 14 March - Topic: TF-IDF vectors: Bag of words, Vectorization, Topic modelling - Task & Assessment: Tutorial 3: TF-IDF and Pass Task #2\\nWeek 4 starts at 21 March - Topic: Semantic Analysis: LSA - Task & Assessment: Tutorial 4: Semantic Analysis and Pass Task #3\\nWeek 5 starts at 28 MMarch - Topic: Introduction to Deep Learning for NLP: Neural network, Word Vectors - Task & Assessment: Tutorial 5: Deep Learning Introduction and Pass Task #4\\nWeek 6 starts at 4 April - Topic: CNN basics and usage for NLP - Task & Assessment: Tutorial 6: Neural Networks & CNN and Pass Task #5\\nWeek 7 starts at 18 April - Topic: RNN & LSTM basics - Task & Assessment: Tutorial 7: RNN & LSTM and Pass Task #6\\nWeek 8 starts at 25 April - Topic: Transformer basics 1 - Task & Assessment: Tutorial 8: Transformer 1 and Pass Task #7\\nWeek 9 starts at 2 May - Topic: Transformer basics 2 - Task & Assessment: Tutorial 9: Transformer 2 and Pass Task #8\\nWeek 10 starts at 9 May - Topic: Performance Evaluation & Scaling up - Task & Assessment: Tutorial 10: Submission of Tutorial 10 and Pass Task #9\\nWeek 11 starts at 16 May - Topic: Showcase of Real-World Problems - Task & Assessment: Tutorial 11: Discussion of Assignment 2 and Pass Task #10\\nWeek 12 starts at 23 May - Topic: Conclusion and Wrap Up - Task & Assessment: Tutorial 12: Discussion of Assignment 2"
},
{
"ID": "378737a",
"Question Text": "What is the topic for COS30081 Week 11?",
"Answer": {
"text": [
"Showcase of Real-World Problems"
],
"answer_start": [
1508
]
},
"Context": "The week by week schedule of the unit for Semester 1, 2022 can be observed below:\\nWeek 1 starts at 28 February - Topic: Introduction to NLP & Linguistics - Task & Assessment: Tutorial 1: Getting Started with Python\\nWeek 2 starts at 7 March - Topic: Word Tokenization: Dot product, Token improvement, Vocabulary - Task & Assessment: Tutorial 2: Word Tokenization and Pass Task #1\\nWeek 3 starts at 14 March - Topic: TF-IDF vectors: Bag of words, Vectorization, Topic modelling - Task & Assessment: Tutorial 3: TF-IDF and Pass Task #2\\nWeek 4 starts at 21 March - Topic: Semantic Analysis: LSA - Task & Assessment: Tutorial 4: Semantic Analysis and Pass Task #3\\nWeek 5 starts at 28 MMarch - Topic: Introduction to Deep Learning for NLP: Neural network, Word Vectors - Task & Assessment: Tutorial 5: Deep Learning Introduction and Pass Task #4\\nWeek 6 starts at 4 April - Topic: CNN basics and usage for NLP - Task & Assessment: Tutorial 6: Neural Networks & CNN and Pass Task #5\\nWeek 7 starts at 18 April - Topic: RNN & LSTM basics - Task & Assessment: Tutorial 7: RNN & LSTM and Pass Task #6\\nWeek 8 starts at 25 April - Topic: Transformer basics 1 - Task & Assessment: Tutorial 8: Transformer 1 and Pass Task #7\\nWeek 9 starts at 2 May - Topic: Transformer basics 2 - Task & Assessment: Tutorial 9: Transformer 2 and Pass Task #8\\nWeek 10 starts at 9 May - Topic: Performance Evaluation & Scaling up - Task & Assessment: Tutorial 10: Submission of Tutorial 10 and Pass Task #9\\nWeek 11 starts at 16 May - Topic: Showcase of Real-World Problems - Task & Assessment: Tutorial 11: Discussion of Assignment 2 and Pass Task #10\\nWeek 12 starts at 23 May - Topic: Conclusion and Wrap Up - Task & Assessment: Tutorial 12: Discussion of Assignment 2"
},
{
"ID": "378738a",
"Question Text": "What is the topic for COS30081 Week 12?",
"Answer": {
"text": [
"Conclusion and Wrap Up"
],
"answer_start": [
1653
]
},
"Context": "The week by week schedule of the unit for Semester 1, 2022 can be observed below:\\nWeek 1 starts at 28 February - Topic: Introduction to NLP & Linguistics - Task & Assessment: Tutorial 1: Getting Started with Python\\nWeek 2 starts at 7 March - Topic: Word Tokenization: Dot product, Token improvement, Vocabulary - Task & Assessment: Tutorial 2: Word Tokenization and Pass Task #1\\nWeek 3 starts at 14 March - Topic: TF-IDF vectors: Bag of words, Vectorization, Topic modelling - Task & Assessment: Tutorial 3: TF-IDF and Pass Task #2\\nWeek 4 starts at 21 March - Topic: Semantic Analysis: LSA - Task & Assessment: Tutorial 4: Semantic Analysis and Pass Task #3\\nWeek 5 starts at 28 MMarch - Topic: Introduction to Deep Learning for NLP: Neural network, Word Vectors - Task & Assessment: Tutorial 5: Deep Learning Introduction and Pass Task #4\\nWeek 6 starts at 4 April - Topic: CNN basics and usage for NLP - Task & Assessment: Tutorial 6: Neural Networks & CNN and Pass Task #5\\nWeek 7 starts at 18 April - Topic: RNN & LSTM basics - Task & Assessment: Tutorial 7: RNN & LSTM and Pass Task #6\\nWeek 8 starts at 25 April - Topic: Transformer basics 1 - Task & Assessment: Tutorial 8: Transformer 1 and Pass Task #7\\nWeek 9 starts at 2 May - Topic: Transformer basics 2 - Task & Assessment: Tutorial 9: Transformer 2 and Pass Task #8\\nWeek 10 starts at 9 May - Topic: Performance Evaluation & Scaling up - Task & Assessment: Tutorial 10: Submission of Tutorial 10 and Pass Task #9\\nWeek 11 starts at 16 May - Topic: Showcase of Real-World Problems - Task & Assessment: Tutorial 11: Discussion of Assignment 2 and Pass Task #10\\nWeek 12 starts at 23 May - Topic: Conclusion and Wrap Up - Task & Assessment: Tutorial 12: Discussion of Assignment 2"
},
{
"ID": "378740a",
"Question Text": "What is the topic for COS30081 Week 2?",
"Answer": {
"text": [
"Word Tokenization: Dot product, Token improvement, Vocabulary"
],
"answer_start": [
249
]
},
"Context": "The week by week schedule of the unit for Semester 1, 2022 can be observed below:\\nWeek 1 starts at 28 February - Topic: Introduction to NLP & Linguistics - Task & Assessment: Tutorial 1: Getting Started with Python\\nWeek 2 starts at 7 March - Topic: Word Tokenization: Dot product, Token improvement, Vocabulary - Task & Assessment: Tutorial 2: Word Tokenization and Pass Task #1\\nWeek 3 starts at 14 March - Topic: TF-IDF vectors: Bag of words, Vectorization, Topic modelling - Task & Assessment: Tutorial 3: TF-IDF and Pass Task #2\\nWeek 4 starts at 21 March - Topic: Semantic Analysis: LSA - Task & Assessment: Tutorial 4: Semantic Analysis and Pass Task #3\\nWeek 5 starts at 28 MMarch - Topic: Introduction to Deep Learning for NLP: Neural network, Word Vectors - Task & Assessment: Tutorial 5: Deep Learning Introduction and Pass Task #4\\nWeek 6 starts at 4 April - Topic: CNN basics and usage for NLP - Task & Assessment: Tutorial 6: Neural Networks & CNN and Pass Task #5\\nWeek 7 starts at 18 April - Topic: RNN & LSTM basics - Task & Assessment: Tutorial 7: RNN & LSTM and Pass Task #6\\nWeek 8 starts at 25 April - Topic: Transformer basics 1 - Task & Assessment: Tutorial 8: Transformer 1 and Pass Task #7\\nWeek 9 starts at 2 May - Topic: Transformer basics 2 - Task & Assessment: Tutorial 9: Transformer 2 and Pass Task #8\\nWeek 10 starts at 9 May - Topic: Performance Evaluation & Scaling up - Task & Assessment: Tutorial 10: Submission of Tutorial 10 and Pass Task #9\\nWeek 11 starts at 16 May - Topic: Showcase of Real-World Problems - Task & Assessment: Tutorial 11: Discussion of Assignment 2 and Pass Task #10\\nWeek 12 starts at 23 May - Topic: Conclusion and Wrap Up - Task & Assessment: Tutorial 12: Discussion of Assignment 2"
},
{
"ID": "378741a",
"Question Text": "What is the topic for COS30081 Week 3?",
"Answer": {
"text": [
"TF-IDF vectors: Bag of words, Vectorization, Topic modelling"
],
"answer_start": [
415
]
},
"Context": "The week by week schedule of the unit for Semester 1, 2022 can be observed below:\\nWeek 1 starts at 28 February - Topic: Introduction to NLP & Linguistics - Task & Assessment: Tutorial 1: Getting Started with Python\\nWeek 2 starts at 7 March - Topic: Word Tokenization: Dot product, Token improvement, Vocabulary - Task & Assessment: Tutorial 2: Word Tokenization and Pass Task #1\\nWeek 3 starts at 14 March - Topic: TF-IDF vectors: Bag of words, Vectorization, Topic modelling - Task & Assessment: Tutorial 3: TF-IDF and Pass Task #2\\nWeek 4 starts at 21 March - Topic: Semantic Analysis: LSA - Task & Assessment: Tutorial 4: Semantic Analysis and Pass Task #3\\nWeek 5 starts at 28 MMarch - Topic: Introduction to Deep Learning for NLP: Neural network, Word Vectors - Task & Assessment: Tutorial 5: Deep Learning Introduction and Pass Task #4\\nWeek 6 starts at 4 April - Topic: CNN basics and usage for NLP - Task & Assessment: Tutorial 6: Neural Networks & CNN and Pass Task #5\\nWeek 7 starts at 18 April - Topic: RNN & LSTM basics - Task & Assessment: Tutorial 7: RNN & LSTM and Pass Task #6\\nWeek 8 starts at 25 April - Topic: Transformer basics 1 - Task & Assessment: Tutorial 8: Transformer 1 and Pass Task #7\\nWeek 9 starts at 2 May - Topic: Transformer basics 2 - Task & Assessment: Tutorial 9: Transformer 2 and Pass Task #8\\nWeek 10 starts at 9 May - Topic: Performance Evaluation & Scaling up - Task & Assessment: Tutorial 10: Submission of Tutorial 10 and Pass Task #9\\nWeek 11 starts at 16 May - Topic: Showcase of Real-World Problems - Task & Assessment: Tutorial 11: Discussion of Assignment 2 and Pass Task #10\\nWeek 12 starts at 23 May - Topic: Conclusion and Wrap Up - Task & Assessment: Tutorial 12: Discussion of Assignment 2"
},
{
"ID": "378742a",
"Question Text": "What is the topic for COS30081 Week 4?",
"Answer": {
"text": [
"Semantic Analysis: LSA"
],
"answer_start": [
569
]
},
"Context": "The week by week schedule of the unit for Semester 1, 2022 can be observed below:\\nWeek 1 starts at 28 February - Topic: Introduction to NLP & Linguistics - Task & Assessment: Tutorial 1: Getting Started with Python\\nWeek 2 starts at 7 March - Topic: Word Tokenization: Dot product, Token improvement, Vocabulary - Task & Assessment: Tutorial 2: Word Tokenization and Pass Task #1\\nWeek 3 starts at 14 March - Topic: TF-IDF vectors: Bag of words, Vectorization, Topic modelling - Task & Assessment: Tutorial 3: TF-IDF and Pass Task #2\\nWeek 4 starts at 21 March - Topic: Semantic Analysis: LSA - Task & Assessment: Tutorial 4: Semantic Analysis and Pass Task #3\\nWeek 5 starts at 28 MMarch - Topic: Introduction to Deep Learning for NLP: Neural network, Word Vectors - Task & Assessment: Tutorial 5: Deep Learning Introduction and Pass Task #4\\nWeek 6 starts at 4 April - Topic: CNN basics and usage for NLP - Task & Assessment: Tutorial 6: Neural Networks & CNN and Pass Task #5\\nWeek 7 starts at 18 April - Topic: RNN & LSTM basics - Task & Assessment: Tutorial 7: RNN & LSTM and Pass Task #6\\nWeek 8 starts at 25 April - Topic: Transformer basics 1 - Task & Assessment: Tutorial 8: Transformer 1 and Pass Task #7\\nWeek 9 starts at 2 May - Topic: Transformer basics 2 - Task & Assessment: Tutorial 9: Transformer 2 and Pass Task #8\\nWeek 10 starts at 9 May - Topic: Performance Evaluation & Scaling up - Task & Assessment: Tutorial 10: Submission of Tutorial 10 and Pass Task #9\\nWeek 11 starts at 16 May - Topic: Showcase of Real-World Problems - Task & Assessment: Tutorial 11: Discussion of Assignment 2 and Pass Task #10\\nWeek 12 starts at 23 May - Topic: Conclusion and Wrap Up - Task & Assessment: Tutorial 12: Discussion of Assignment 2"
},
{
"ID": "378743a",
"Question Text": "What is the topic for COS30081 Week 5?",
"Answer": {
"text": [
"Introduction to Deep Learning for NLP: Neural network, Word Vectors"
],
"answer_start": [
697
]
},
"Context": "The week by week schedule of the unit for Semester 1, 2022 can be observed below:\\nWeek 1 starts at 28 February - Topic: Introduction to NLP & Linguistics - Task & Assessment: Tutorial 1: Getting Started with Python\\nWeek 2 starts at 7 March - Topic: Word Tokenization: Dot product, Token improvement, Vocabulary - Task & Assessment: Tutorial 2: Word Tokenization and Pass Task #1\\nWeek 3 starts at 14 March - Topic: TF-IDF vectors: Bag of words, Vectorization, Topic modelling - Task & Assessment: Tutorial 3: TF-IDF and Pass Task #2\\nWeek 4 starts at 21 March - Topic: Semantic Analysis: LSA - Task & Assessment: Tutorial 4: Semantic Analysis and Pass Task #3\\nWeek 5 starts at 28 MMarch - Topic: Introduction to Deep Learning for NLP: Neural network, Word Vectors - Task & Assessment: Tutorial 5: Deep Learning Introduction and Pass Task #4\\nWeek 6 starts at 4 April - Topic: CNN basics and usage for NLP - Task & Assessment: Tutorial 6: Neural Networks & CNN and Pass Task #5\\nWeek 7 starts at 18 April - Topic: RNN & LSTM basics - Task & Assessment: Tutorial 7: RNN & LSTM and Pass Task #6\\nWeek 8 starts at 25 April - Topic: Transformer basics 1 - Task & Assessment: Tutorial 8: Transformer 1 and Pass Task #7\\nWeek 9 starts at 2 May - Topic: Transformer basics 2 - Task & Assessment: Tutorial 9: Transformer 2 and Pass Task #8\\nWeek 10 starts at 9 May - Topic: Performance Evaluation & Scaling up - Task & Assessment: Tutorial 10: Submission of Tutorial 10 and Pass Task #9\\nWeek 11 starts at 16 May - Topic: Showcase of Real-World Problems - Task & Assessment: Tutorial 11: Discussion of Assignment 2 and Pass Task #10\\nWeek 12 starts at 23 May - Topic: Conclusion and Wrap Up - Task & Assessment: Tutorial 12: Discussion of Assignment 2"
},
{
"ID": "378746a",
"Question Text": "What is the topic for COS30081 Week 6?",
"Answer": {
"text": [
"CNN basics and usage for NLP"
],
"answer_start": [
876
]
},
"Context": "The week by week schedule of the unit for Semester 1, 2022 can be observed below:\\nWeek 1 starts at 28 February - Topic: Introduction to NLP & Linguistics - Task & Assessment: Tutorial 1: Getting Started with Python\\nWeek 2 starts at 7 March - Topic: Word Tokenization: Dot product, Token improvement, Vocabulary - Task & Assessment: Tutorial 2: Word Tokenization and Pass Task #1\\nWeek 3 starts at 14 March - Topic: TF-IDF vectors: Bag of words, Vectorization, Topic modelling - Task & Assessment: Tutorial 3: TF-IDF and Pass Task #2\\nWeek 4 starts at 21 March - Topic: Semantic Analysis: LSA - Task & Assessment: Tutorial 4: Semantic Analysis and Pass Task #3\\nWeek 5 starts at 28 MMarch - Topic: Introduction to Deep Learning for NLP: Neural network, Word Vectors - Task & Assessment: Tutorial 5: Deep Learning Introduction and Pass Task #4\\nWeek 6 starts at 4 April - Topic: CNN basics and usage for NLP - Task & Assessment: Tutorial 6: Neural Networks & CNN and Pass Task #5\\nWeek 7 starts at 18 April - Topic: RNN & LSTM basics - Task & Assessment: Tutorial 7: RNN & LSTM and Pass Task #6\\nWeek 8 starts at 25 April - Topic: Transformer basics 1 - Task & Assessment: Tutorial 8: Transformer 1 and Pass Task #7\\nWeek 9 starts at 2 May - Topic: Transformer basics 2 - Task & Assessment: Tutorial 9: Transformer 2 and Pass Task #8\\nWeek 10 starts at 9 May - Topic: Performance Evaluation & Scaling up - Task & Assessment: Tutorial 10: Submission of Tutorial 10 and Pass Task #9\\nWeek 11 starts at 16 May - Topic: Showcase of Real-World Problems - Task & Assessment: Tutorial 11: Discussion of Assignment 2 and Pass Task #10\\nWeek 12 starts at 23 May - Topic: Conclusion and Wrap Up - Task & Assessment: Tutorial 12: Discussion of Assignment 2"
},
{
"ID": "378748a",
"Question Text": "What is the topic for COS30081 Week 7?",
"Answer": {
"text": [
"RNN & LSTM basics"
],
"answer_start": [
1012
]
},
"Context": "The week by week schedule of the unit for Semester 1, 2022 can be observed below:\\nWeek 1 starts at 28 February - Topic: Introduction to NLP & Linguistics - Task & Assessment: Tutorial 1: Getting Started with Python\\nWeek 2 starts at 7 March - Topic: Word Tokenization: Dot product, Token improvement, Vocabulary - Task & Assessment: Tutorial 2: Word Tokenization and Pass Task #1\\nWeek 3 starts at 14 March - Topic: TF-IDF vectors: Bag of words, Vectorization, Topic modelling - Task & Assessment: Tutorial 3: TF-IDF and Pass Task #2\\nWeek 4 starts at 21 March - Topic: Semantic Analysis: LSA - Task & Assessment: Tutorial 4: Semantic Analysis and Pass Task #3\\nWeek 5 starts at 28 MMarch - Topic: Introduction to Deep Learning for NLP: Neural network, Word Vectors - Task & Assessment: Tutorial 5: Deep Learning Introduction and Pass Task #4\\nWeek 6 starts at 4 April - Topic: CNN basics and usage for NLP - Task & Assessment: Tutorial 6: Neural Networks & CNN and Pass Task #5\\nWeek 7 starts at 18 April - Topic: RNN & LSTM basics - Task & Assessment: Tutorial 7: RNN & LSTM and Pass Task #6\\nWeek 8 starts at 25 April - Topic: Transformer basics 1 - Task & Assessment: Tutorial 8: Transformer 1 and Pass Task #7\\nWeek 9 starts at 2 May - Topic: Transformer basics 2 - Task & Assessment: Tutorial 9: Transformer 2 and Pass Task #8\\nWeek 10 starts at 9 May - Topic: Performance Evaluation & Scaling up - Task & Assessment: Tutorial 10: Submission of Tutorial 10 and Pass Task #9\\nWeek 11 starts at 16 May - Topic: Showcase of Real-World Problems - Task & Assessment: Tutorial 11: Discussion of Assignment 2 and Pass Task #10\\nWeek 12 starts at 23 May - Topic: Conclusion and Wrap Up - Task & Assessment: Tutorial 12: Discussion of Assignment 2"
},
{
"ID": "378749a",
"Question Text": "What is the topic for COS30081 Week 8?",
"Answer": {
"text": [
"Transformer basics 1"
],
"answer_start": [
1126
]
},
"Context": "The week by week schedule of the unit for Semester 1, 2022 can be observed below:\\nWeek 1 starts at 28 February - Topic: Introduction to NLP & Linguistics - Task & Assessment: Tutorial 1: Getting Started with Python\\nWeek 2 starts at 7 March - Topic: Word Tokenization: Dot product, Token improvement, Vocabulary - Task & Assessment: Tutorial 2: Word Tokenization and Pass Task #1\\nWeek 3 starts at 14 March - Topic: TF-IDF vectors: Bag of words, Vectorization, Topic modelling - Task & Assessment: Tutorial 3: TF-IDF and Pass Task #2\\nWeek 4 starts at 21 March - Topic: Semantic Analysis: LSA - Task & Assessment: Tutorial 4: Semantic Analysis and Pass Task #3\\nWeek 5 starts at 28 MMarch - Topic: Introduction to Deep Learning for NLP: Neural network, Word Vectors - Task & Assessment: Tutorial 5: Deep Learning Introduction and Pass Task #4\\nWeek 6 starts at 4 April - Topic: CNN basics and usage for NLP - Task & Assessment: Tutorial 6: Neural Networks & CNN and Pass Task #5\\nWeek 7 starts at 18 April - Topic: RNN & LSTM basics - Task & Assessment: Tutorial 7: RNN & LSTM and Pass Task #6\\nWeek 8 starts at 25 April - Topic: Transformer basics 1 - Task & Assessment: Tutorial 8: Transformer 1 and Pass Task #7\\nWeek 9 starts at 2 May - Topic: Transformer basics 2 - Task & Assessment: Tutorial 9: Transformer 2 and Pass Task #8\\nWeek 10 starts at 9 May - Topic: Performance Evaluation & Scaling up - Task & Assessment: Tutorial 10: Submission of Tutorial 10 and Pass Task #9\\nWeek 11 starts at 16 May - Topic: Showcase of Real-World Problems - Task & Assessment: Tutorial 11: Discussion of Assignment 2 and Pass Task #10\\nWeek 12 starts at 23 May - Topic: Conclusion and Wrap Up - Task & Assessment: Tutorial 12: Discussion of Assignment 2"
},
{
"ID": "378750a",
"Question Text": "What is the topic for COS30081 Week 9?",
"Answer": {
"text": [
"Transformer basics 2"
],
"answer_start": [
1243
]
},
"Context": "The week by week schedule of the unit for Semester 1, 2022 can be observed below:\\nWeek 1 starts at 28 February - Topic: Introduction to NLP & Linguistics - Task & Assessment: Tutorial 1: Getting Started with Python\\nWeek 2 starts at 7 March - Topic: Word Tokenization: Dot product, Token improvement, Vocabulary - Task & Assessment: Tutorial 2: Word Tokenization and Pass Task #1\\nWeek 3 starts at 14 March - Topic: TF-IDF vectors: Bag of words, Vectorization, Topic modelling - Task & Assessment: Tutorial 3: TF-IDF and Pass Task #2\\nWeek 4 starts at 21 March - Topic: Semantic Analysis: LSA - Task & Assessment: Tutorial 4: Semantic Analysis and Pass Task #3\\nWeek 5 starts at 28 MMarch - Topic: Introduction to Deep Learning for NLP: Neural network, Word Vectors - Task & Assessment: Tutorial 5: Deep Learning Introduction and Pass Task #4\\nWeek 6 starts at 4 April - Topic: CNN basics and usage for NLP - Task & Assessment: Tutorial 6: Neural Networks & CNN and Pass Task #5\\nWeek 7 starts at 18 April - Topic: RNN & LSTM basics - Task & Assessment: Tutorial 7: RNN & LSTM and Pass Task #6\\nWeek 8 starts at 25 April - Topic: Transformer basics 1 - Task & Assessment: Tutorial 8: Transformer 1 and Pass Task #7\\nWeek 9 starts at 2 May - Topic: Transformer basics 2 - Task & Assessment: Tutorial 9: Transformer 2 and Pass Task #8\\nWeek 10 starts at 9 May - Topic: Performance Evaluation & Scaling up - Task & Assessment: Tutorial 10: Submission of Tutorial 10 and Pass Task #9\\nWeek 11 starts at 16 May - Topic: Showcase of Real-World Problems - Task & Assessment: Tutorial 11: Discussion of Assignment 2 and Pass Task #10\\nWeek 12 starts at 23 May - Topic: Conclusion and Wrap Up - Task & Assessment: Tutorial 12: Discussion of Assignment 2"
},
{
"ID": "378751a",
"Question Text": "When Week 10 starts for COS3001 in semester 1, 2022?",
"Answer": {
"text": [
" 9 May"
],
"answer_start": [
1346
]
},
"Context": "The week by week schedule of the unit for Semester 1, 2022 can be observed below:\\nWeek 1 starts at 28 February - Topic: Introduction to NLP & Linguistics - Task & Assessment: Tutorial 1: Getting Started with Python\\nWeek 2 starts at 7 March - Topic: Word Tokenization: Dot product, Token improvement, Vocabulary - Task & Assessment: Tutorial 2: Word Tokenization and Pass Task #1\\nWeek 3 starts at 14 March - Topic: TF-IDF vectors: Bag of words, Vectorization, Topic modelling - Task & Assessment: Tutorial 3: TF-IDF and Pass Task #2\\nWeek 4 starts at 21 March - Topic: Semantic Analysis: LSA - Task & Assessment: Tutorial 4: Semantic Analysis and Pass Task #3\\nWeek 5 starts at 28 MMarch - Topic: Introduction to Deep Learning for NLP: Neural network, Word Vectors - Task & Assessment: Tutorial 5: Deep Learning Introduction and Pass Task #4\\nWeek 6 starts at 4 April - Topic: CNN basics and usage for NLP - Task & Assessment: Tutorial 6: Neural Networks & CNN and Pass Task #5\\nWeek 7 starts at 18 April - Topic: RNN & LSTM basics - Task & Assessment: Tutorial 7: RNN & LSTM and Pass Task #6\\nWeek 8 starts at 25 April - Topic: Transformer basics 1 - Task & Assessment: Tutorial 8: Transformer 1 and Pass Task #7\\nWeek 9 starts at 2 May - Topic: Transformer basics 2 - Task & Assessment: Tutorial 9: Transformer 2 and Pass Task #8\\nWeek 10 starts at 9 May - Topic: Performance Evaluation & Scaling up - Task & Assessment: Tutorial 10: Submission of Tutorial 10 and Pass Task #9\\nWeek 11 starts at 16 May - Topic: Showcase of Real-World Problems - Task & Assessment: Tutorial 11: Discussion of Assignment 2 and Pass Task #10\\nWeek 12 starts at 23 May - Topic: Conclusion and Wrap Up - Task & Assessment: Tutorial 12: Discussion of Assignment 2"
},
{
"ID": "378752a",
"Question Text": "When Week 11 starts for COS3001 in semester 1, 2022?",
"Answer": {
"text": [
"16 May"
],
"answer_start": [
1492
]
},
"Context": "The week by week schedule of the unit for Semester 1, 2022 can be observed below:\\nWeek 1 starts at 28 February - Topic: Introduction to NLP & Linguistics - Task & Assessment: Tutorial 1: Getting Started with Python\\nWeek 2 starts at 7 March - Topic: Word Tokenization: Dot product, Token improvement, Vocabulary - Task & Assessment: Tutorial 2: Word Tokenization and Pass Task #1\\nWeek 3 starts at 14 March - Topic: TF-IDF vectors: Bag of words, Vectorization, Topic modelling - Task & Assessment: Tutorial 3: TF-IDF and Pass Task #2\\nWeek 4 starts at 21 March - Topic: Semantic Analysis: LSA - Task & Assessment: Tutorial 4: Semantic Analysis and Pass Task #3\\nWeek 5 starts at 28 MMarch - Topic: Introduction to Deep Learning for NLP: Neural network, Word Vectors - Task & Assessment: Tutorial 5: Deep Learning Introduction and Pass Task #4\\nWeek 6 starts at 4 April - Topic: CNN basics and usage for NLP - Task & Assessment: Tutorial 6: Neural Networks & CNN and Pass Task #5\\nWeek 7 starts at 18 April - Topic: RNN & LSTM basics - Task & Assessment: Tutorial 7: RNN & LSTM and Pass Task #6\\nWeek 8 starts at 25 April - Topic: Transformer basics 1 - Task & Assessment: Tutorial 8: Transformer 1 and Pass Task #7\\nWeek 9 starts at 2 May - Topic: Transformer basics 2 - Task & Assessment: Tutorial 9: Transformer 2 and Pass Task #8\\nWeek 10 starts at 9 May - Topic: Performance Evaluation & Scaling up - Task & Assessment: Tutorial 10: Submission of Tutorial 10 and Pass Task #9\\nWeek 11 starts at 16 May - Topic: Showcase of Real-World Problems - Task & Assessment: Tutorial 11: Discussion of Assignment 2 and Pass Task #10\\nWeek 12 starts at 23 May - Topic: Conclusion and Wrap Up - Task & Assessment: Tutorial 12: Discussion of Assignment 2"
},
{
"ID": "378753a",
"Question Text": "When Week 12 starts for COS3001 in semester 1, 2022?",
"Answer": {
"text": [
"23 May"
],
"answer_start": [
1637
]
},
"Context": "The week by week schedule of the unit for Semester 1, 2022 can be observed below:\\nWeek 1 starts at 28 February - Topic: Introduction to NLP & Linguistics - Task & Assessment: Tutorial 1: Getting Started with Python\\nWeek 2 starts at 7 March - Topic: Word Tokenization: Dot product, Token improvement, Vocabulary - Task & Assessment: Tutorial 2: Word Tokenization and Pass Task #1\\nWeek 3 starts at 14 March - Topic: TF-IDF vectors: Bag of words, Vectorization, Topic modelling - Task & Assessment: Tutorial 3: TF-IDF and Pass Task #2\\nWeek 4 starts at 21 March - Topic: Semantic Analysis: LSA - Task & Assessment: Tutorial 4: Semantic Analysis and Pass Task #3\\nWeek 5 starts at 28 MMarch - Topic: Introduction to Deep Learning for NLP: Neural network, Word Vectors - Task & Assessment: Tutorial 5: Deep Learning Introduction and Pass Task #4\\nWeek 6 starts at 4 April - Topic: CNN basics and usage for NLP - Task & Assessment: Tutorial 6: Neural Networks & CNN and Pass Task #5\\nWeek 7 starts at 18 April - Topic: RNN & LSTM basics - Task & Assessment: Tutorial 7: RNN & LSTM and Pass Task #6\\nWeek 8 starts at 25 April - Topic: Transformer basics 1 - Task & Assessment: Tutorial 8: Transformer 1 and Pass Task #7\\nWeek 9 starts at 2 May - Topic: Transformer basics 2 - Task & Assessment: Tutorial 9: Transformer 2 and Pass Task #8\\nWeek 10 starts at 9 May - Topic: Performance Evaluation & Scaling up - Task & Assessment: Tutorial 10: Submission of Tutorial 10 and Pass Task #9\\nWeek 11 starts at 16 May - Topic: Showcase of Real-World Problems - Task & Assessment: Tutorial 11: Discussion of Assignment 2 and Pass Task #10\\nWeek 12 starts at 23 May - Topic: Conclusion and Wrap Up - Task & Assessment: Tutorial 12: Discussion of Assignment 2"
},
{
"ID": "378754a",
"Question Text": "When Week 1 starts for COS3001 in semester 1, 2022?",
"Answer": {
"text": [
"28 February"
],
"answer_start": [
99
]
},
"Context": "The week by week schedule of the unit for Semester 1, 2022 can be observed below:\\nWeek 1 starts at 28 February - Topic: Introduction to NLP & Linguistics - Task & Assessment: Tutorial 1: Getting Started with Python\\nWeek 2 starts at 7 March - Topic: Word Tokenization: Dot product, Token improvement, Vocabulary - Task & Assessment: Tutorial 2: Word Tokenization and Pass Task #1\\nWeek 3 starts at 14 March - Topic: TF-IDF vectors: Bag of words, Vectorization, Topic modelling - Task & Assessment: Tutorial 3: TF-IDF and Pass Task #2\\nWeek 4 starts at 21 March - Topic: Semantic Analysis: LSA - Task & Assessment: Tutorial 4: Semantic Analysis and Pass Task #3\\nWeek 5 starts at 28 MMarch - Topic: Introduction to Deep Learning for NLP: Neural network, Word Vectors - Task & Assessment: Tutorial 5: Deep Learning Introduction and Pass Task #4\\nWeek 6 starts at 4 April - Topic: CNN basics and usage for NLP - Task & Assessment: Tutorial 6: Neural Networks & CNN and Pass Task #5\\nWeek 7 starts at 18 April - Topic: RNN & LSTM basics - Task & Assessment: Tutorial 7: RNN & LSTM and Pass Task #6\\nWeek 8 starts at 25 April - Topic: Transformer basics 1 - Task & Assessment: Tutorial 8: Transformer 1 and Pass Task #7\\nWeek 9 starts at 2 May - Topic: Transformer basics 2 - Task & Assessment: Tutorial 9: Transformer 2 and Pass Task #8\\nWeek 10 starts at 9 May - Topic: Performance Evaluation & Scaling up - Task & Assessment: Tutorial 10: Submission of Tutorial 10 and Pass Task #9\\nWeek 11 starts at 16 May - Topic: Showcase of Real-World Problems - Task & Assessment: Tutorial 11: Discussion of Assignment 2 and Pass Task #10\\nWeek 12 starts at 23 May - Topic: Conclusion and Wrap Up - Task & Assessment: Tutorial 12: Discussion of Assignment 2"
},
{
"ID": "378755a",
"Question Text": "When Week 2 starts for COS3001 in semester 1, 2022?",
"Answer": {
"text": [
"7 March"
],
"answer_start": [
232
]
},
"Context": "The week by week schedule of the unit for Semester 1, 2022 can be observed below:\\nWeek 1 starts at 28 February - Topic: Introduction to NLP & Linguistics - Task & Assessment: Tutorial 1: Getting Started with Python\\nWeek 2 starts at 7 March - Topic: Word Tokenization: Dot product, Token improvement, Vocabulary - Task & Assessment: Tutorial 2: Word Tokenization and Pass Task #1\\nWeek 3 starts at 14 March - Topic: TF-IDF vectors: Bag of words, Vectorization, Topic modelling - Task & Assessment: Tutorial 3: TF-IDF and Pass Task #2\\nWeek 4 starts at 21 March - Topic: Semantic Analysis: LSA - Task & Assessment: Tutorial 4: Semantic Analysis and Pass Task #3\\nWeek 5 starts at 28 MMarch - Topic: Introduction to Deep Learning for NLP: Neural network, Word Vectors - Task & Assessment: Tutorial 5: Deep Learning Introduction and Pass Task #4\\nWeek 6 starts at 4 April - Topic: CNN basics and usage for NLP - Task & Assessment: Tutorial 6: Neural Networks & CNN and Pass Task #5\\nWeek 7 starts at 18 April - Topic: RNN & LSTM basics - Task & Assessment: Tutorial 7: RNN & LSTM and Pass Task #6\\nWeek 8 starts at 25 April - Topic: Transformer basics 1 - Task & Assessment: Tutorial 8: Transformer 1 and Pass Task #7\\nWeek 9 starts at 2 May - Topic: Transformer basics 2 - Task & Assessment: Tutorial 9: Transformer 2 and Pass Task #8\\nWeek 10 starts at 9 May - Topic: Performance Evaluation & Scaling up - Task & Assessment: Tutorial 10: Submission of Tutorial 10 and Pass Task #9\\nWeek 11 starts at 16 May - Topic: Showcase of Real-World Problems - Task & Assessment: Tutorial 11: Discussion of Assignment 2 and Pass Task #10\\nWeek 12 starts at 23 May - Topic: Conclusion and Wrap Up - Task & Assessment: Tutorial 12: Discussion of Assignment 2"
},
{
"ID": "378756a",
"Question Text": "When Week 3 starts for COS3001 in semester 1, 2022?",
"Answer": {
"text": [
"14 March"
],
"answer_start": [
396
]
},
"Context": "The week by week schedule of the unit for Semester 1, 2022 can be observed below:\\nWeek 1 starts at 28 February - Topic: Introduction to NLP & Linguistics - Task & Assessment: Tutorial 1: Getting Started with Python\\nWeek 2 starts at 7 March - Topic: Word Tokenization: Dot product, Token improvement, Vocabulary - Task & Assessment: Tutorial 2: Word Tokenization and Pass Task #1\\nWeek 3 starts at 14 March - Topic: TF-IDF vectors: Bag of words, Vectorization, Topic modelling - Task & Assessment: Tutorial 3: TF-IDF and Pass Task #2\\nWeek 4 starts at 21 March - Topic: Semantic Analysis: LSA - Task & Assessment: Tutorial 4: Semantic Analysis and Pass Task #3\\nWeek 5 starts at 28 MMarch - Topic: Introduction to Deep Learning for NLP: Neural network, Word Vectors - Task & Assessment: Tutorial 5: Deep Learning Introduction and Pass Task #4\\nWeek 6 starts at 4 April - Topic: CNN basics and usage for NLP - Task & Assessment: Tutorial 6: Neural Networks & CNN and Pass Task #5\\nWeek 7 starts at 18 April - Topic: RNN & LSTM basics - Task & Assessment: Tutorial 7: RNN & LSTM and Pass Task #6\\nWeek 8 starts at 25 April - Topic: Transformer basics 1 - Task & Assessment: Tutorial 8: Transformer 1 and Pass Task #7\\nWeek 9 starts at 2 May - Topic: Transformer basics 2 - Task & Assessment: Tutorial 9: Transformer 2 and Pass Task #8\\nWeek 10 starts at 9 May - Topic: Performance Evaluation & Scaling up - Task & Assessment: Tutorial 10: Submission of Tutorial 10 and Pass Task #9\\nWeek 11 starts at 16 May - Topic: Showcase of Real-World Problems - Task & Assessment: Tutorial 11: Discussion of Assignment 2 and Pass Task #10\\nWeek 12 starts at 23 May - Topic: Conclusion and Wrap Up - Task & Assessment: Tutorial 12: Discussion of Assignment 2"
},
{
"ID": "378757a",
"Question Text": "When Week 4 starts for COS3001 in semester 1, 2022?",
"Answer": {
"text": [
"21 March"
],
"answer_start": [
550
]
},
"Context": "The week by week schedule of the unit for Semester 1, 2022 can be observed below:\\nWeek 1 starts at 28 February - Topic: Introduction to NLP & Linguistics - Task & Assessment: Tutorial 1: Getting Started with Python\\nWeek 2 starts at 7 March - Topic: Word Tokenization: Dot product, Token improvement, Vocabulary - Task & Assessment: Tutorial 2: Word Tokenization and Pass Task #1\\nWeek 3 starts at 14 March - Topic: TF-IDF vectors: Bag of words, Vectorization, Topic modelling - Task & Assessment: Tutorial 3: TF-IDF and Pass Task #2\\nWeek 4 starts at 21 March - Topic: Semantic Analysis: LSA - Task & Assessment: Tutorial 4: Semantic Analysis and Pass Task #3\\nWeek 5 starts at 28 MMarch - Topic: Introduction to Deep Learning for NLP: Neural network, Word Vectors - Task & Assessment: Tutorial 5: Deep Learning Introduction and Pass Task #4\\nWeek 6 starts at 4 April - Topic: CNN basics and usage for NLP - Task & Assessment: Tutorial 6: Neural Networks & CNN and Pass Task #5\\nWeek 7 starts at 18 April - Topic: RNN & LSTM basics - Task & Assessment: Tutorial 7: RNN & LSTM and Pass Task #6\\nWeek 8 starts at 25 April - Topic: Transformer basics 1 - Task & Assessment: Tutorial 8: Transformer 1 and Pass Task #7\\nWeek 9 starts at 2 May - Topic: Transformer basics 2 - Task & Assessment: Tutorial 9: Transformer 2 and Pass Task #8\\nWeek 10 starts at 9 May - Topic: Performance Evaluation & Scaling up - Task & Assessment: Tutorial 10: Submission of Tutorial 10 and Pass Task #9\\nWeek 11 starts at 16 May - Topic: Showcase of Real-World Problems - Task & Assessment: Tutorial 11: Discussion of Assignment 2 and Pass Task #10\\nWeek 12 starts at 23 May - Topic: Conclusion and Wrap Up - Task & Assessment: Tutorial 12: Discussion of Assignment 2"
},
{
"ID": "378758a",
"Question Text": "When Week 5 starts for COS3001 in semester 1, 2022?",
"Answer": {
"text": [
"28 March"
],
"answer_start": [
677
]
},
"Context": "The week by week schedule of the unit for Semester 1, 2022 can be observed below:\\nWeek 1 starts at 28 February - Topic: Introduction to NLP & Linguistics - Task & Assessment: Tutorial 1: Getting Started with Python\\nWeek 2 starts at 7 March - Topic: Word Tokenization: Dot product, Token improvement, Vocabulary - Task & Assessment: Tutorial 2: Word Tokenization and Pass Task #1\\nWeek 3 starts at 14 March - Topic: TF-IDF vectors: Bag of words, Vectorization, Topic modelling - Task & Assessment: Tutorial 3: TF-IDF and Pass Task #2\\nWeek 4 starts at 21 March - Topic: Semantic Analysis: LSA - Task & Assessment: Tutorial 4: Semantic Analysis and Pass Task #3\\nWeek 5 starts at 28 MMarch - Topic: Introduction to Deep Learning for NLP: Neural network, Word Vectors - Task & Assessment: Tutorial 5: Deep Learning Introduction and Pass Task #4\\nWeek 6 starts at 4 April - Topic: CNN basics and usage for NLP - Task & Assessment: Tutorial 6: Neural Networks & CNN and Pass Task #5\\nWeek 7 starts at 18 April - Topic: RNN & LSTM basics - Task & Assessment: Tutorial 7: RNN & LSTM and Pass Task #6\\nWeek 8 starts at 25 April - Topic: Transformer basics 1 - Task & Assessment: Tutorial 8: Transformer 1 and Pass Task #7\\nWeek 9 starts at 2 May - Topic: Transformer basics 2 - Task & Assessment: Tutorial 9: Transformer 2 and Pass Task #8\\nWeek 10 starts at 9 May - Topic: Performance Evaluation & Scaling up - Task & Assessment: Tutorial 10: Submission of Tutorial 10 and Pass Task #9\\nWeek 11 starts at 16 May - Topic: Showcase of Real-World Problems - Task & Assessment: Tutorial 11: Discussion of Assignment 2 and Pass Task #10\\nWeek 12 starts at 23 May - Topic: Conclusion and Wrap Up - Task & Assessment: Tutorial 12: Discussion of Assignment 2"
},
{
"ID": "378759a",
"Question Text": "When Week 6 starts for COS3001 in semester 1, 2022?",
"Answer": {
"text": [
"4 April"
],
"answer_start": [
859
]
},
"Context": "The week by week schedule of the unit for Semester 1, 2022 can be observed below:\\nWeek 1 starts at 28 February - Topic: Introduction to NLP & Linguistics - Task & Assessment: Tutorial 1: Getting Started with Python\\nWeek 2 starts at 7 March - Topic: Word Tokenization: Dot product, Token improvement, Vocabulary - Task & Assessment: Tutorial 2: Word Tokenization and Pass Task #1\\nWeek 3 starts at 14 March - Topic: TF-IDF vectors: Bag of words, Vectorization, Topic modelling - Task & Assessment: Tutorial 3: TF-IDF and Pass Task #2\\nWeek 4 starts at 21 March - Topic: Semantic Analysis: LSA - Task & Assessment: Tutorial 4: Semantic Analysis and Pass Task #3\\nWeek 5 starts at 28 MMarch - Topic: Introduction to Deep Learning for NLP: Neural network, Word Vectors - Task & Assessment: Tutorial 5: Deep Learning Introduction and Pass Task #4\\nWeek 6 starts at 4 April - Topic: CNN basics and usage for NLP - Task & Assessment: Tutorial 6: Neural Networks & CNN and Pass Task #5\\nWeek 7 starts at 18 April - Topic: RNN & LSTM basics - Task & Assessment: Tutorial 7: RNN & LSTM and Pass Task #6\\nWeek 8 starts at 25 April - Topic: Transformer basics 1 - Task & Assessment: Tutorial 8: Transformer 1 and Pass Task #7\\nWeek 9 starts at 2 May - Topic: Transformer basics 2 - Task & Assessment: Tutorial 9: Transformer 2 and Pass Task #8\\nWeek 10 starts at 9 May - Topic: Performance Evaluation & Scaling up - Task & Assessment: Tutorial 10: Submission of Tutorial 10 and Pass Task #9\\nWeek 11 starts at 16 May - Topic: Showcase of Real-World Problems - Task & Assessment: Tutorial 11: Discussion of Assignment 2 and Pass Task #10\\nWeek 12 starts at 23 May - Topic: Conclusion and Wrap Up - Task & Assessment: Tutorial 12: Discussion of Assignment 2"
},
{
"ID": "378760a",
"Question Text": "When Week 7 starts for COS3001 in semester 1, 2022?",
"Answer": {
"text": [
"18 April"
],
"answer_start": [
994
]
},
"Context": "The week by week schedule of the unit for Semester 1, 2022 can be observed below:\\nWeek 1 starts at 28 February - Topic: Introduction to NLP & Linguistics - Task & Assessment: Tutorial 1: Getting Started with Python\\nWeek 2 starts at 7 March - Topic: Word Tokenization: Dot product, Token improvement, Vocabulary - Task & Assessment: Tutorial 2: Word Tokenization and Pass Task #1\\nWeek 3 starts at 14 March - Topic: TF-IDF vectors: Bag of words, Vectorization, Topic modelling - Task & Assessment: Tutorial 3: TF-IDF and Pass Task #2\\nWeek 4 starts at 21 March - Topic: Semantic Analysis: LSA - Task & Assessment: Tutorial 4: Semantic Analysis and Pass Task #3\\nWeek 5 starts at 28 MMarch - Topic: Introduction to Deep Learning for NLP: Neural network, Word Vectors - Task & Assessment: Tutorial 5: Deep Learning Introduction and Pass Task #4\\nWeek 6 starts at 4 April - Topic: CNN basics and usage for NLP - Task & Assessment: Tutorial 6: Neural Networks & CNN and Pass Task #5\\nWeek 7 starts at 18 April - Topic: RNN & LSTM basics - Task & Assessment: Tutorial 7: RNN & LSTM and Pass Task #6\\nWeek 8 starts at 25 April - Topic: Transformer basics 1 - Task & Assessment: Tutorial 8: Transformer 1 and Pass Task #7\\nWeek 9 starts at 2 May - Topic: Transformer basics 2 - Task & Assessment: Tutorial 9: Transformer 2 and Pass Task #8\\nWeek 10 starts at 9 May - Topic: Performance Evaluation & Scaling up - Task & Assessment: Tutorial 10: Submission of Tutorial 10 and Pass Task #9\\nWeek 11 starts at 16 May - Topic: Showcase of Real-World Problems - Task & Assessment: Tutorial 11: Discussion of Assignment 2 and Pass Task #10\\nWeek 12 starts at 23 May - Topic: Conclusion and Wrap Up - Task & Assessment: Tutorial 12: Discussion of Assignment 2"
},
{
"ID": "378761a",
"Question Text": "When Week 8 starts for COS3001 in semester 1, 2022?",
"Answer": {
"text": [
"25 April"
],
"answer_start": [
1108
]
},
"Context": "The week by week schedule of the unit for Semester 1, 2022 can be observed below:\\nWeek 1 starts at 28 February - Topic: Introduction to NLP & Linguistics - Task & Assessment: Tutorial 1: Getting Started with Python\\nWeek 2 starts at 7 March - Topic: Word Tokenization: Dot product, Token improvement, Vocabulary - Task & Assessment: Tutorial 2: Word Tokenization and Pass Task #1\\nWeek 3 starts at 14 March - Topic: TF-IDF vectors: Bag of words, Vectorization, Topic modelling - Task & Assessment: Tutorial 3: TF-IDF and Pass Task #2\\nWeek 4 starts at 21 March - Topic: Semantic Analysis: LSA - Task & Assessment: Tutorial 4: Semantic Analysis and Pass Task #3\\nWeek 5 starts at 28 MMarch - Topic: Introduction to Deep Learning for NLP: Neural network, Word Vectors - Task & Assessment: Tutorial 5: Deep Learning Introduction and Pass Task #4\\nWeek 6 starts at 4 April - Topic: CNN basics and usage for NLP - Task & Assessment: Tutorial 6: Neural Networks & CNN and Pass Task #5\\nWeek 7 starts at 18 April - Topic: RNN & LSTM basics - Task & Assessment: Tutorial 7: RNN & LSTM and Pass Task #6\\nWeek 8 starts at 25 April - Topic: Transformer basics 1 - Task & Assessment: Tutorial 8: Transformer 1 and Pass Task #7\\nWeek 9 starts at 2 May - Topic: Transformer basics 2 - Task & Assessment: Tutorial 9: Transformer 2 and Pass Task #8\\nWeek 10 starts at 9 May - Topic: Performance Evaluation & Scaling up - Task & Assessment: Tutorial 10: Submission of Tutorial 10 and Pass Task #9\\nWeek 11 starts at 16 May - Topic: Showcase of Real-World Problems - Task & Assessment: Tutorial 11: Discussion of Assignment 2 and Pass Task #10\\nWeek 12 starts at 23 May - Topic: Conclusion and Wrap Up - Task & Assessment: Tutorial 12: Discussion of Assignment 2"
},
{
"ID": "378762a",
"Question Text": "When Week 9 starts for COS3001 in semester 1, 2022?",
"Answer": {
"text": [
"2 May"
],
"answer_start": [
1228
]
},
"Context": "The week by week schedule of the unit for Semester 1, 2022 can be observed below:\\nWeek 1 starts at 28 February - Topic: Introduction to NLP & Linguistics - Task & Assessment: Tutorial 1: Getting Started with Python\\nWeek 2 starts at 7 March - Topic: Word Tokenization: Dot product, Token improvement, Vocabulary - Task & Assessment: Tutorial 2: Word Tokenization and Pass Task #1\\nWeek 3 starts at 14 March - Topic: TF-IDF vectors: Bag of words, Vectorization, Topic modelling - Task & Assessment: Tutorial 3: TF-IDF and Pass Task #2\\nWeek 4 starts at 21 March - Topic: Semantic Analysis: LSA - Task & Assessment: Tutorial 4: Semantic Analysis and Pass Task #3\\nWeek 5 starts at 28 MMarch - Topic: Introduction to Deep Learning for NLP: Neural network, Word Vectors - Task & Assessment: Tutorial 5: Deep Learning Introduction and Pass Task #4\\nWeek 6 starts at 4 April - Topic: CNN basics and usage for NLP - Task & Assessment: Tutorial 6: Neural Networks & CNN and Pass Task #5\\nWeek 7 starts at 18 April - Topic: RNN & LSTM basics - Task & Assessment: Tutorial 7: RNN & LSTM and Pass Task #6\\nWeek 8 starts at 25 April - Topic: Transformer basics 1 - Task & Assessment: Tutorial 8: Transformer 1 and Pass Task #7\\nWeek 9 starts at 2 May - Topic: Transformer basics 2 - Task & Assessment: Tutorial 9: Transformer 2 and Pass Task #8\\nWeek 10 starts at 9 May - Topic: Performance Evaluation & Scaling up - Task & Assessment: Tutorial 10: Submission of Tutorial 10 and Pass Task #9\\nWeek 11 starts at 16 May - Topic: Showcase of Real-World Problems - Task & Assessment: Tutorial 11: Discussion of Assignment 2 and Pass Task #10\\nWeek 12 starts at 23 May - Topic: Conclusion and Wrap Up - Task & Assessment: Tutorial 12: Discussion of Assignment 2"
},
{
"ID": "378764a",
"Question Text": "How long are the lectures and tutorials for COS30081 each week?",
"Answer": {
"text": [
"two hours each"
],
"answer_start": [
333
]
},
"Context": "There is one unit teaching staff who is Dr Joel Than Chia Ming who is also the lecturer and tutor of this unit . He can be contacted through his email which is [email protected]. The learning and teaching structure of the unit consist of two parts which are lectures and tutorials of 24 hours of total contact hours each with two hours each of contact per week."
},
{
"ID": "378766a",
"Question Text": "How many unit teaching staff are there in COS30081?",
"Answer": {
"text": [
"one"
],
"answer_start": [
9
]
},
"Context": "There is one unit teaching staff who is Dr Joel Than Chia Ming who is also the lecturer and tutor of this unit . He can be contacted through his email which is [email protected]. The learning and teaching structure of the unit consist of two parts which are lectures and tutorials of 24 hours of total contact hours each with two hours each of contact per week."
},
{
"ID": "378769a",
"Question Text": "How to contact Dr Joel?",
"Answer": {
"text": [
"through his email"
],
"answer_start": [
133
]
},
"Context": "There is one unit teaching staff who is Dr Joel Than Chia Ming who is also the lecturer and tutor of this unit . He can be contacted through his email which is [email protected]. The learning and teaching structure of the unit consist of two parts which are lectures and tutorials of 24 hours of total contact hours each with two hours each of contact per week."
},
{
"ID": "378771a",
"Question Text": "What is Dr Joel's email?",
"Answer": {
"text": [
"[email protected]"
],
"answer_start": [
160
]
},
"Context": "There is one unit teaching staff who is Dr Joel Than Chia Ming who is also the lecturer and tutor of this unit . He can be contacted through his email which is [email protected]. The learning and teaching structure of the unit consist of two parts which are lectures and tutorials of 24 hours of total contact hours each with two hours each of contact per week."
},
{
"ID": "378772a",
"Question Text": "What is the learning and teaching structure like for COS30081?",
"Answer": {
"text": [
"two parts which are lectures and tutorials"
],
"answer_start": [
245
]
},
"Context": "There is one unit teaching staff who is Dr Joel Than Chia Ming who is also the lecturer and tutor of this unit . He can be contacted through his email which is [email protected]. The learning and teaching structure of the unit consist of two parts which are lectures and tutorials of 24 hours of total contact hours each with two hours each of contact per week."
},
{
"ID": "378776a",
"Question Text": "Who are the unit teaching staff for COS30081?",
"Answer": {
"text": [
"Dr Joel Than Chia Ming"
],
"answer_start": [
40
]
},
"Context": "There is one unit teaching staff who is Dr Joel Than Chia Ming who is also the lecturer and tutor of this unit . He can be contacted through his email which is [email protected]. The learning and teaching structure of the unit consist of two parts which are lectures and tutorials of 24 hours of total contact hours each with two hours each of contact per week."
},
{
"ID": "378777a",
"Question Text": "Who is Dr Joel Than Chia Ming?",
"Answer": {
"text": [
"lecturer and tutor"
],
"answer_start": [
79
]
},
"Context": "There is one unit teaching staff who is Dr Joel Than Chia Ming who is also the lecturer and tutor of this unit . He can be contacted through his email which is [email protected]. The learning and teaching structure of the unit consist of two parts which are lectures and tutorials of 24 hours of total contact hours each with two hours each of contact per week."
},
{
"ID": "378778a",
"Question Text": "Who is the lecturer for COS30081?",
"Answer": {
"text": [
"Dr Joel Than Chia Ming"
],
"answer_start": [
40
]
},
"Context": "There is one unit teaching staff who is Dr Joel Than Chia Ming who is also the lecturer and tutor of this unit . He can be contacted through his email which is [email protected]. The learning and teaching structure of the unit consist of two parts which are lectures and tutorials of 24 hours of total contact hours each with two hours each of contact per week."
},
{
"ID": "378780a",
"Question Text": "Who is the tutor for COS30081?",
"Answer": {
"text": [
"Dr Joel Than Chia Ming"
],
"answer_start": [
40
]
},
"Context": "There is one unit teaching staff who is Dr Joel Than Chia Ming who is also the lecturer and tutor of this unit . He can be contacted through his email which is [email protected]. The learning and teaching structure of the unit consist of two parts which are lectures and tutorials of 24 hours of total contact hours each with two hours each of contact per week."
},
{
"ID": "378782a",
"Question Text": "How many Swinburne Graduate Attributes will be developed in COS30081?",
"Answer": {
"text": [
"3"
],
"answer_start": [
47
]
},
"Context": "This unit may contribute to the development of 3 Swinburne Graduate Attributes which are communication skills, teamwork skills, and digital literacies. The unit's content are basic string analysis techniques, text wrangling, web scrapping and pre-processing, feature extraction, text classifiers information retreival evaluation, visualisation and advanced NLP technique, which may include only one of the following topics: topic modelling, text summarization, vector representation, deep learning, or sentiment analysis."
},
{
"ID": "378783a",
"Question Text": "What Swinburne Graduate Attributes will be developed in students for COS30081?",
"Answer": {
"text": [
"communication skills, teamwork skills, and digital literacies"
],
"answer_start": [
89
]
},
"Context": "This unit may contribute to the development of 3 Swinburne Graduate Attributes which are communication skills, teamwork skills, and digital literacies. The unit's content are basic string analysis techniques, text wrangling, web scrapping and pre-processing, feature extraction, text classifiers information retreival evaluation, visualisation and advanced NLP technique, which may include only one of the following topics: topic modelling, text summarization, vector representation, deep learning, or sentiment analysis."
},
{
"ID": "378784a",
"Question Text": "What is the content of COS30081?\n",
"Answer": {
"text": [
"basic string analysis techniques, text wrangling, web scrapping and pre-processing, feature extraction, text classifiers information retreival evaluation, visualisation and advanced NLP technique"
],
"answer_start": [
175
]
},
"Context": "This unit may contribute to the development of 3 Swinburne Graduate Attributes which are communication skills, teamwork skills, and digital literacies. The unit's content are basic string analysis techniques, text wrangling, web scrapping and pre-processing, feature extraction, text classifiers information retreival evaluation, visualisation and advanced NLP technique, which may include only one of the following topics: topic modelling, text summarization, vector representation, deep learning, or sentiment analysis."
},
{
"ID": "378788a",
"Question Text": "How many unit learning outcome are there in COS30081?",
"Answer": {
"text": [
"4"
],
"answer_start": [
13
]
},
"Context": "The unit has 4 unit learning outcomes (ULO) which are explain the basics of computational linguistics, prepare textual data into suitable representation for text analytics, apply exploratory data analysis and visualisation techniques to textual data, and develop and evaluate text classifiers for general natural language processing tasks."
},
{
"ID": "378790a",
"Question Text": "What are the unit learning outcomes in COS30081?",
"Answer": {
"text": [
"explain the basics of computational linguistics, prepare textual data into suitable representation for text analytics, apply exploratory data analysis and visualisation techniques to textual data, and develop and evaluate text classifiers for general natural language processing tasks"
],
"answer_start": [
54
]
},
"Context": "The unit has 4 unit learning outcomes (ULO) which are explain the basics of computational linguistics, prepare textual data into suitable representation for text analytics, apply exploratory data analysis and visualisation techniques to textual data, and develop and evaluate text classifiers for general natural language processing tasks."
},
{
"ID": "378792a",
"Question Text": "What is the aim of COS30081?",
"Answer": {
"text": [
"introduce students to the essential natural language processing (NLP) tasks and techniques"
],
"answer_start": [
26
]
},
"Context": "The aim of the unit is to introduce students to the essential natural language processing (NLP) tasks and techniques. Students will learn skills to carry out basic text data pre-processing, feature extraction, building and evaluating a text classifier, and visualising NLP results. This unit also exposes students to an advanced NLP technique."
},
{
"ID": "378793a",
"Question Text": "What will the students learn in COS30081?",
"Answer": {
"text": [
"skills to carry out basic text data pre-processing, feature extraction, building and evaluating a text classifier, and visualising NLP results"
],
"answer_start": [
138
]
},
"Context": "The aim of the unit is to introduce students to the essential natural language processing (NLP) tasks and techniques. Students will learn skills to carry out basic text data pre-processing, feature extraction, building and evaluating a text classifier, and visualising NLP results. This unit also exposes students to an advanced NLP technique."
}
] |
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