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README.md
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1 |
+
---
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dataset_info:
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- config_name: SA
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features:
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- name: id
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dtype: int32
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- name: movieName
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dtype: string
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- name: messages
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sequence: string
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- name: senders
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sequence: int32
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- name: form
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sequence: int32
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splits:
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- name: train
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num_bytes: 33174059
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num_examples: 41370
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- name: validation
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num_bytes: 8224594
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num_examples: 10329
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- name: test
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num_bytes: 5151856
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num_examples: 6952
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download_size: 32552755
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dataset_size: 46550509
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- config_name: rec
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features:
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- name: movieIds
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sequence: int32
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- name: messages
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sequence: string
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- name: senders
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sequence: int32
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splits:
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- name: train
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num_bytes: 6064195
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num_examples: 8004
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- name: validation
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num_bytes: 1511644
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num_examples: 2002
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- name: test
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num_bytes: 937739
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num_examples: 1342
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download_size: 4812520
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dataset_size: 8513578
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- config_name: autorec
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features:
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- name: movieIds
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sequence: int32
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- name: ratings
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sequence: float32
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splits:
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- name: train
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num_bytes: 350688
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num_examples: 7840
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- name: validation
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num_bytes: 87496
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num_examples: 1966
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- name: test
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num_bytes: 58704
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num_examples: 1321
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download_size: 32552755
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dataset_size: 496888
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config_names:
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- SA
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- rec
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- autorec
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tags:
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- recommendation
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- conversational recommendation
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- sentiment analysis
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language:
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- en
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pretty_name: ReDIAL
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size_categories:
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- 10K<n<100K
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---
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# Dataset Card for Dataset Name
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## Dataset Description
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- **Homepage:**
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- **Repository:**
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- **Paper:**
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- **Leaderboard:**
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- **Point of Contact:**
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### Dataset Summary
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This dataset provides over 10,000 conversations centered around movie recommendations. It was released in the paper ["Towards Deep Conversational Recommendations"] at NeurIPS 2018(https://arxiv.org/abs/1812.07617)
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### Supported Tasks and Leaderboards
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1. Sentiment Analysis: Use the SA config for sentiment analysis.
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2. Recommendation: Use the autorec config for recommendation task.
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3. Conversational recommendation: Use the rec config for conversational recommendation task.
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### Languages
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English
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## Dataset Structure
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### Data Instances
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#### SA
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An example of 'test' looks as follows.
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```
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{
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"id": 111776,
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"movieName": "Super Troopers",
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"messages": [
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"Hi I am looking for a movie like @111776",
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"You should watch @151656",
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"Is that a great one? I have never seen it. I have seen @192131\nI mean @134643",
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"Yes @151656 is very funny and so is @94688",
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"It sounds like I need to check them out",
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"yes you will enjoy them",
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"I appreciate your time. I will need to check those out. Are there any others you would recommend?",
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"yes @101794",
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"Thank you i will watch that too",
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"and also @91481",
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"Thanks for the suggestions.",
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"you are welcome\nand also @124771",
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"thanks goodbye"
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],
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"senders": [1, -1, 1, -1, 1, -1, 1, -1, 1, -1, 1, -1, 1],
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"form": [0, 1, 1, 0, 1, 1]
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}
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####
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```
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#### rec
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An example of 'test' looks as follows.
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```
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{
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'movieIds': [111776, 91481, 151656, 134643, 192131, 124771, 94688, 101794],
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'messages': ['Hi I am looking for a movie like @111776',
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'You should watch @151656',
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'Is that a great one? I have never seen it. I have seen @192131\nI mean @134643',
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'Yes @151656 is very funny and so is @94688',
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'It sounds like I need to check them out',
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'yes you will enjoy them',
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'I appreciate your time. I will need to check those out. Are there any others you would recommend?',
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'yes @101794',
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'Thank you i will watch that too',
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'and also @91481',
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'Thanks for the suggestions.',
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'you are welcome\nand also @124771',
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'thanks goodbye'],
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'senders': [1, -1, 1, -1, 1, -1, 1, -1, 1, -1, 1, -1, 1]
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}
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```
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#### autorec
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An example of 'test' looks as follows.
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```
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{
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"movieIds": [
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111776,
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151656,
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134643,
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192131,
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94688
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],
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"ratings": [
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1.0,
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1.0,
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1.0,
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1.0,
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1.0
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]
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}
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```
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## Dataset Creation
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### Curation Rationale
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[More Information Needed]
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### Source Data
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#### Initial Data Collection and Normalization
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[More Information Needed]
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#### Who are the source language producers?
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[More Information Needed]
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### Annotations
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#### Annotation process
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[More Information Needed]
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#### Who are the annotators?
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[More Information Needed]
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### Personal and Sensitive Information
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[More Information Needed]
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## Considerations for Using the Data
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### Social Impact of Dataset
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[More Information Needed]
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### Discussion of Biases
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[More Information Needed]
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### Other Known Limitations
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[More Information Needed]
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## Additional Information
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### Dataset Curators
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[More Information Needed]
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### Licensing Information
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[More Information Needed]
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### Citation Information
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[More Information Needed]
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### Contributions
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[More Information Needed]
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