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--- |
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annotations_creators: |
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- crowdsourced |
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language_creators: |
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- crowdsourced |
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languages: |
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- en |
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licenses: |
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- cc-by-4-0 |
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multilinguality: |
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- monolingual |
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size_categories: |
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- 10K<n<100K |
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source_datasets: |
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- original |
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task_categories: |
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- conditional-text-generation |
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task_ids: |
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- conditional-text-generation-other-dialogue-generation |
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--- |
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# Dataset Card for Deal or No Deal Negotiator |
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## Table of Contents |
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- [Dataset Description](#dataset-description) |
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- [Dataset Summary](#dataset-summary) |
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- [Supported Tasks](#supported-tasks-and-leaderboards) |
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- [Languages](#languages) |
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- [Dataset Structure](#dataset-structure) |
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- [Data Instances](#data-instances) |
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- [Data Fields](#data-instances) |
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- [Data Splits](#data-instances) |
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- [Dataset Creation](#dataset-creation) |
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- [Curation Rationale](#curation-rationale) |
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- [Source Data](#source-data) |
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- [Annotations](#annotations) |
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- [Personal and Sensitive Information](#personal-and-sensitive-information) |
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- [Considerations for Using the Data](#considerations-for-using-the-data) |
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- [Social Impact of Dataset](#social-impact-of-dataset) |
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- [Discussion of Biases](#discussion-of-biases) |
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- [Other Known Limitations](#other-known-limitations) |
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- [Additional Information](#additional-information) |
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- [Dataset Curators](#dataset-curators) |
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- [Licensing Information](#licensing-information) |
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- [Citation Information](#citation-information) |
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## Dataset Description |
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- **Repository:** [Dataset Repository](https://github.com/facebookresearch/end-to-end-negotiator) |
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- **Paper:** [Deal or No Deal? End-to-End Learning for Negotiation Dialogues](https://arxiv.org/abs/1706.05125) |
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### Dataset Summary |
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A large dataset of human-human negotiations on a multi-issue bargaining task, where agents who cannot observe each other’s reward functions must reach an agreement (or a deal) via natural language dialogue. |
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### Supported Tasks and Leaderboards |
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Train end-to-end models for negotiation |
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### Languages |
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The text in the dataset is in English |
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## Dataset Structure |
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### Data Instances |
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{'dialogue': 'YOU: i love basketball and reading <eos> THEM: no . i want the hat and the balls <eos> YOU: both balls ? <eos> THEM: yeah or 1 ball and 1 book <eos> YOU: ok i want the hat and you can have the rest <eos> THEM: okay deal ill take the books and the balls you can have only the hat <eos> YOU: ok <eos> THEM: <selection>', |
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'input': {'count': [3, 1, 2], 'value': [0, 8, 1]}, |
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'output': 'item0=0 item1=1 item2=0 item0=3 item1=0 item2=2', |
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'partner_input': {'count': [3, 1, 2], 'value': [1, 3, 2]}} |
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### Data Fields |
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`dialogue`: The dialogue between the agents. \ |
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`input`: The input of the firt agent. \ |
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`partner_input`: The input of the other agent. \ |
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`count`: The count of the three available items. \ |
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`value`: The value of the three available items. \ |
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`output`: Describes how many of each of the three item typesare assigned to each agent |
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### Data Splits |
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| | Tain | Valid | Test | |
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| ----- | ------ | ----- | ---- | |
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| dialogues | 10095 | 1087 | 1052 | |
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| self_play | 8172 | NA | NA | |
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## Dataset Creation |
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### Curation Rationale |
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[More Information Needed] |
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### Source Data |
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#### Initial Data Collection and Normalization |
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[More Information Needed] |
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#### Who are the source language producers? |
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[More Information Needed] |
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### Annotations |
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#### Annotation process |
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[More Information Needed] |
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#### Who are the annotators? |
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Human workers using Amazon Mechanical Turk. They were paid $0.15 per dialogue, with a $0.05 bonus for maximal scores. Only workers based in the United States with a 95% approval rating and at least 5000 previous HITs were used. |
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### Personal and Sensitive Information |
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[More Information Needed] |
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## Considerations for Using the Data |
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### Social Impact of Dataset |
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[More Information Needed] |
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### Discussion of Biases |
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[More Information Needed] |
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### Other Known Limitations |
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[More Information Needed] |
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## Additional Information |
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### Dataset Curators |
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[More Information Needed] |
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### Licensing Information |
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The project is licenced under CC-by-NC |
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### Citation Information |
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``` |
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@article{lewis2017deal, |
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title={Deal or no deal? end-to-end learning for negotiation dialogues}, |
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author={Lewis, Mike and Yarats, Denis and Dauphin, Yann N and Parikh, Devi and Batra, Dhruv}, |
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journal={arXiv preprint arXiv:1706.05125}, |
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year={2017} |
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} |
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``` |
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