Dataset Card for "empathetic_dialogues"

Dataset Summary

PyTorch original implementation of Towards Empathetic Open-domain Conversation Models: a New Benchmark and Dataset

Supported Tasks

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Dataset Structure

We show detailed information for up to 5 configurations of the dataset.

Data Instances


  • Size of downloaded dataset files: 26.72 MB
  • Size of the generated dataset: 23.97 MB
  • Total amount of disk used: 50.69 MB

An example of 'train' looks as follows.

    "context": "sentimental",
    "conv_id": "hit:0_conv:1",
    "prompt": "I remember going to the fireworks with my best friend. There was a lot of people_comma_ but it only felt like us in the world.",
    "selfeval": "5|5|5_2|2|5",
    "speaker_idx": 1,
    "tags": "",
    "utterance": "I remember going to see the fireworks with my best friend. It was the first time we ever spent time alone together. Although there was a lot of people_comma_ we felt like the only people in the world.",
    "utterance_idx": 1

Data Fields

The data fields are the same among all splits.


  • conv_id: a string feature.
  • utterance_idx: a int32 feature.
  • context: a string feature.
  • prompt: a string feature.
  • speaker_idx: a int32 feature.
  • utterance: a string feature.
  • selfeval: a string feature.
  • tags: a string feature.

Data Splits Sample Size

name train validation test
default 76673 12030 10943

Dataset Creation

Curation Rationale

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Source Data

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Personal and Sensitive Information

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Considerations for Using the Data

Social Impact of Dataset

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Discussion of Biases

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Other Known Limitations

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Additional Information

Dataset Curators

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Licensing Information

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Citation Information

  title = {Towards Empathetic Open-domain Conversation Models: a New Benchmark and Dataset},
  author = {Hannah Rashkin and Eric Michael Smith and Margaret Li and Y-Lan Boureau},
  booktitle = {ACL},
  year = {2019},


Thanks to @thomwolf, @patrickvonplaten, @lewtun for adding this dataset.

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