Datasets:
Dataset Viewer
Full Screen Viewer
Full Screen
The viewer is disabled because this dataset repo requires arbitrary Python code execution. Please consider
removing the
loading script
and relying on
automated data support
(you can use
convert_to_parquet
from the datasets
library). If this is not possible, please
open a discussion
for direct help.
YAML Metadata
Warning:
The task_categories "conversational" is not in the official list: text-classification, token-classification, table-question-answering, question-answering, zero-shot-classification, translation, summarization, feature-extraction, text-generation, text2text-generation, fill-mask, sentence-similarity, text-to-speech, text-to-audio, automatic-speech-recognition, audio-to-audio, audio-classification, voice-activity-detection, depth-estimation, image-classification, object-detection, image-segmentation, text-to-image, image-to-text, image-to-image, image-to-video, unconditional-image-generation, video-classification, reinforcement-learning, robotics, tabular-classification, tabular-regression, tabular-to-text, table-to-text, multiple-choice, text-retrieval, time-series-forecasting, text-to-video, image-text-to-text, visual-question-answering, document-question-answering, zero-shot-image-classification, graph-ml, mask-generation, zero-shot-object-detection, text-to-3d, image-to-3d, image-feature-extraction, other
Dataset Card for "empathetic_dialogues"
Dataset Summary
PyTorch original implementation of Towards Empathetic Open-domain Conversation Models: a New Benchmark and Dataset
Supported Tasks and Leaderboards
Languages
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
: astring
feature.utterance_idx
: aint32
feature.context
: astring
feature.prompt
: astring
feature.speaker_idx
: aint32
feature.utterance
: astring
feature.selfeval
: astring
feature.tags
: astring
feature.
Data Splits
name | train | validation | test |
---|---|---|---|
default | 76673 | 12030 | 10943 |
Dataset Creation
Curation Rationale
Source Data
Initial Data Collection and Normalization
Who are the source language producers?
Annotations
Annotation process
Who are the annotators?
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
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.
- Downloads last month
- 1,299
Homepage:
github.com
Repository:
github.com
Paper:
Towards Empathetic Open-domain Conversation Models: a New Benchmark and Dataset
Size of downloaded dataset files:
28.02 MB
Models trained or fine-tuned on facebook/empathetic_dialogues
Text Classification
•
Updated
•
107
•
1