Datasets:

Languages:
English
Multilinguality:
monolingual
Size Categories:
10K<n<100K
Language Creators:
crowdsourced
Annotations Creators:
crowdsourced
Source Datasets:
original
ArXiv:
License:
system's picture
system HF staff
Update files from the datasets library (from 1.16.0)
9999447
metadata
pretty_name: EmpatheticDialogues
languages:
  - en
paperswithcode_id: empatheticdialogues

Dataset Card for "empathetic_dialogues"

Table of Contents

Dataset Description

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

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

Data Instances

default

  • 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.

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

More Information Needed

Citation Information

@inproceedings{rashkin2019towards,
  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},
}

Contributions

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