README.md

metadata

annotations_creators:
  - crowdsourced
language:
  - en
language_creators:
  - crowdsourced
license:
  - cc-by-nc-4.0
multilinguality:
  - monolingual
pretty_name: EmpatheticDialogues
size_categories:
  - 10K<n<100K
source_datasets:
  - original
task_categories:
  - conversational
  - question-answering
task_ids:
  - dialogue-generation
  - open-domain-qa
paperswithcode_id: empatheticdialogues
dataset_info:
  features:
    - name: conv_id
      dtype: string
    - name: utterance_idx
      dtype: int32
    - name: context
      dtype: string
    - name: prompt
      dtype: string
    - name: speaker_idx
      dtype: int32
    - name: utterance
      dtype: string
    - name: selfeval
      dtype: string
    - name: tags
      dtype: string
  splits:
    - name: test
      num_bytes: 3011332
      num_examples: 10943
    - name: train
      num_bytes: 19040509
      num_examples: 76673
    - name: validation
      num_bytes: 3077481
      num_examples: 12030
  download_size: 28022709
  dataset_size: 25129322

Dataset Card for "empathetic_dialogues"

Table of Contents

• Dataset Description
  • Dataset Summary
  • Supported Tasks and Leaderboards
  • Languages
• Dataset Structure
  • Data Instances
  • Data Fields
  • Data Splits
• Dataset Creation
  • Curation Rationale
  • Source Data
  • Annotations
  • Personal and Sensitive Information
• Considerations for Using the Data
  • Social Impact of Dataset
  • Discussion of Biases
  • Other Known Limitations
• Additional Information
  • Dataset Curators
  • Licensing Information
  • Citation Information
  • Contributions

Dataset Description

• Homepage: https://github.com/facebookresearch/EmpatheticDialogues
• Repository: https://github.com/facebookresearch/EmpatheticDialogues
• Paper: Towards Empathetic Open-domain Conversation Models: a New Benchmark and Dataset
• Point of Contact: More Information Needed
• Size of downloaded dataset files: 28.02 MB
• Size of the generated dataset: 25.13 MB
• Total amount of disk used: 53.15 MB

Dataset Summary

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

Supported Tasks and Leaderboards

More Information Needed

Languages

More Information Needed

Dataset Structure

Data Instances

default

• Size of downloaded dataset files: 28.02 MB
• Size of the generated dataset: 25.13 MB
• Total amount of disk used: 53.15 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.

default

• 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

name	train	validation	test
default	76673	12030	10943

Dataset Creation

Curation Rationale

More Information Needed

Source Data

Initial Data Collection and Normalization

More Information Needed

Who are the source language producers?

More Information Needed

Annotations

Annotation process

More Information Needed

Who are the annotators?

More Information Needed

Personal and Sensitive Information

More Information Needed

Considerations for Using the Data

Social Impact of Dataset

More Information Needed

Discussion of Biases

More Information Needed

Other Known Limitations

More Information Needed

Additional Information

Dataset Curators

More Information Needed

Licensing Information

Creative Commons Attribution-NonCommercial 4.0 International.

Citation Information

@inproceedings{rashkin-etal-2019-towards,
    title = "Towards Empathetic Open-domain Conversation Models: A New Benchmark and Dataset",
    author = "Rashkin, Hannah  and
      Smith, Eric Michael  and
      Li, Margaret  and
      Boureau, Y-Lan",
    booktitle = "Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics",
    month = jul,
    year = "2019",
    address = "Florence, Italy",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/P19-1534",
    doi = "10.18653/v1/P19-1534",
    pages = "5370--5381",
}

Contributions

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