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+ ---
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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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+
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+ # Dataset Card for Dataset Name
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+
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+ ## Dataset Description
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+
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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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+
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+ ### Dataset Summary
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+
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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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+
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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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+
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+ ### Languages
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+
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+ English
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+
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+ ## Dataset Structure
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+
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+ ### Data Instances
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+
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+ #### SA
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+
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+
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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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+
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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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+
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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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+
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+
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+
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+
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+
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+
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+ ## Dataset Creation
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+
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+ ### Curation Rationale
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+
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+ [More Information Needed]
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+
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+ ### Source Data
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+
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+ #### Initial Data Collection and Normalization
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+
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+ [More Information Needed]
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+
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+ #### Who are the source language producers?
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+
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+ [More Information Needed]
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+
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+ ### Annotations
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+
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+ #### Annotation process
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+
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+ [More Information Needed]
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+
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+ #### Who are the annotators?
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+
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+ [More Information Needed]
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+
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+ ### Personal and Sensitive Information
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+
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+ [More Information Needed]
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+
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+ ## Considerations for Using the Data
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+
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+ ### Social Impact of Dataset
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+
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+ [More Information Needed]
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+
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+ ### Discussion of Biases
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+
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+ [More Information Needed]
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+
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+ ### Other Known Limitations
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+
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+ [More Information Needed]
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+
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+ ## Additional Information
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+
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+ ### Dataset Curators
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+
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+ [More Information Needed]
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+
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+ ### Licensing Information
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+
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+ [More Information Needed]
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+
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+ ### Citation Information
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+
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+ [More Information Needed]
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+
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+ ### Contributions
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+
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+ [More Information Needed]