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Datasets:
kchawla123
/
casino

Tasks:
Text Generation
Fill-Mask
Modalities:
Text
Formats:
parquet
Sub-tasks:
dialogue-modeling
Languages:
English
Size:
1K - 10K
Libraries:
Datasets
pandas
License:
Dataset card Viewer Files Community
2
albertvillanova HF staff commited on
Commit
f08c1ce
•
1 Parent(s): 5125969

Convert dataset to Parquet

Browse files

Convert dataset to Parquet.

Files changed (3) hide show
  1. README.md +9 -4
  2. data/train-00000-of-00001.parquet +3 -0
  3. dataset_infos.json +266 -1
README.md CHANGED
@@ -19,8 +19,8 @@ task_categories:
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  - fill-mask
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  task_ids:
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  - dialogue-modeling
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- pretty_name: Campsite Negotiation Dialogues
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  paperswithcode_id: casino
 
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  dataset_info:
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  features:
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  - name: chat_logs
@@ -160,10 +160,15 @@ dataset_info:
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  list: string
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  splits:
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  - name: train
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- num_bytes: 3211555
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  num_examples: 1030
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- download_size: 4300019
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- dataset_size: 3211555
 
 
 
 
 
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  ---
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19
  - fill-mask
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  task_ids:
21
  - dialogue-modeling
 
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  paperswithcode_id: casino
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+ pretty_name: Campsite Negotiation Dialogues
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  dataset_info:
25
  features:
26
  - name: chat_logs
 
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  list: string
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  splits:
162
  - name: train
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+ num_bytes: 3211407
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  num_examples: 1030
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+ download_size: 1247368
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+ dataset_size: 3211407
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+ configs:
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+ - config_name: default
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+ data_files:
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+ - split: train
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+ path: data/train-*
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  ---
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data/train-00000-of-00001.parquet ADDED
@@ -0,0 +1,3 @@
 
 
 
 
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+ version https://git-lfs.github.com/spec/v1
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+ oid sha256:1fb8a0da5097d2b6564090021d9d72bd43c214e95a872f4abf9626730067fd72
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+ size 1247368
dataset_infos.json CHANGED
@@ -1 +1,266 @@
1
- {"default": {"description": "We provide a novel dataset (referred to as CaSiNo) of 1030 negotiation dialogues. Two participants take the role of campsite neighbors and negotiate for Food, Water, and Firewood packages, based on their individual preferences and requirements. This design keeps the task tractable, while still facilitating linguistically rich and personal conversations. This helps to overcome the limitations of prior negotiation datasets such as Deal or No Deal and Craigslist Bargain. Each dialogue consists of rich meta-data including participant demographics, personality, and their subjective evaluation of the negotiation in terms of satisfaction and opponent likeness.\n", "citation": "@inproceedings{chawla2021casino,\n title={CaSiNo: A Corpus of Campsite Negotiation Dialogues for Automatic Negotiation Systems},\n author={Chawla, Kushal and Ramirez, Jaysa and Clever, Rene and Lucas, Gale and May, Jonathan and Gratch, Jonathan},\n booktitle={Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies},\n pages={3167--3185},\n year={2021}\n}\n", "homepage": "https://github.com/kushalchawla/CaSiNo", "license": "The project is licensed under CC-BY-4.0", "features": {"chat_logs": [{"text": {"dtype": "string", "id": null, "_type": "Value"}, "task_data": {"data": {"dtype": "string", "id": null, "_type": "Value"}, "issue2youget": {"Firewood": {"dtype": "string", "id": null, "_type": "Value"}, "Water": {"dtype": "string", "id": null, "_type": "Value"}, "Food": {"dtype": "string", "id": null, "_type": "Value"}}, "issue2theyget": {"Firewood": {"dtype": "string", "id": null, "_type": "Value"}, "Water": {"dtype": "string", "id": null, "_type": "Value"}, "Food": {"dtype": "string", "id": null, "_type": "Value"}}}, "id": {"dtype": "string", "id": null, "_type": "Value"}}], "participant_info": {"mturk_agent_1": {"value2issue": {"Low": {"dtype": "string", "id": null, "_type": "Value"}, "Medium": {"dtype": "string", "id": null, "_type": "Value"}, "High": {"dtype": "string", "id": null, "_type": "Value"}}, "value2reason": {"Low": {"dtype": "string", "id": null, "_type": "Value"}, "Medium": {"dtype": "string", "id": null, "_type": "Value"}, "High": {"dtype": "string", "id": null, "_type": "Value"}}, "outcomes": {"points_scored": {"dtype": "int32", "id": null, "_type": "Value"}, "satisfaction": {"dtype": "string", "id": null, "_type": "Value"}, "opponent_likeness": {"dtype": "string", "id": null, "_type": "Value"}}, "demographics": {"age": {"dtype": "int32", "id": null, "_type": "Value"}, "gender": {"dtype": "string", "id": null, "_type": "Value"}, "ethnicity": {"dtype": "string", "id": null, "_type": "Value"}, "education": {"dtype": "string", "id": null, "_type": "Value"}}, "personality": {"svo": {"dtype": "string", "id": null, "_type": "Value"}, "big-five": {"extraversion": {"dtype": "float32", "id": null, "_type": "Value"}, "agreeableness": {"dtype": "float32", "id": null, "_type": "Value"}, "conscientiousness": {"dtype": "float32", "id": null, "_type": "Value"}, "emotional-stability": {"dtype": "float32", "id": null, "_type": "Value"}, "openness-to-experiences": {"dtype": "float32", "id": null, "_type": "Value"}}}}, "mturk_agent_2": {"value2issue": {"Low": {"dtype": "string", "id": null, "_type": "Value"}, "Medium": {"dtype": "string", "id": null, "_type": "Value"}, "High": {"dtype": "string", "id": null, "_type": "Value"}}, "value2reason": {"Low": {"dtype": "string", "id": null, "_type": "Value"}, "Medium": {"dtype": "string", "id": null, "_type": "Value"}, "High": {"dtype": "string", "id": null, "_type": "Value"}}, "outcomes": {"points_scored": {"dtype": "int32", "id": null, "_type": "Value"}, "satisfaction": {"dtype": "string", "id": null, "_type": "Value"}, "opponent_likeness": {"dtype": "string", "id": null, "_type": "Value"}}, "demographics": {"age": {"dtype": "int32", "id": null, "_type": "Value"}, "gender": {"dtype": "string", "id": null, "_type": "Value"}, "ethnicity": {"dtype": "string", "id": null, "_type": "Value"}, "education": {"dtype": "string", "id": null, "_type": "Value"}}, "personality": {"svo": {"dtype": "string", "id": null, "_type": "Value"}, "big-five": {"extraversion": {"dtype": "float32", "id": null, "_type": "Value"}, "agreeableness": {"dtype": "float32", "id": null, "_type": "Value"}, "conscientiousness": {"dtype": "float32", "id": null, "_type": "Value"}, "emotional-stability": {"dtype": "float32", "id": null, "_type": "Value"}, "openness-to-experiences": {"dtype": "float32", "id": null, "_type": "Value"}}}}}, "annotations": [[{"dtype": "string", "id": null, "_type": "Value"}]]}, "post_processed": null, "supervised_keys": null, "task_templates": null, "builder_name": "casino", "config_name": "default", "version": {"version_str": "1.1.0", "description": null, "major": 1, "minor": 1, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 3211555, "num_examples": 1030, "dataset_name": "casino"}}, "download_checksums": {"https://raw.githubusercontent.com/kushalchawla/CaSiNo/main/data/casino.json": {"num_bytes": 4300019, "checksum": "4f2c4560a0070906ed018c3f0766e35f8f8f31b36274ebf35b608621915744ab"}}, "download_size": 4300019, "post_processing_size": null, "dataset_size": 3211555, "size_in_bytes": 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+ {
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+ "default": {
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+ "description": "We provide a novel dataset (referred to as CaSiNo) of 1030 negotiation dialogues. Two participants take the role of campsite neighbors and negotiate for Food, Water, and Firewood packages, based on their individual preferences and requirements. This design keeps the task tractable, while still facilitating linguistically rich and personal conversations. This helps to overcome the limitations of prior negotiation datasets such as Deal or No Deal and Craigslist Bargain. Each dialogue consists of rich meta-data including participant demographics, personality, and their subjective evaluation of the negotiation in terms of satisfaction and opponent likeness.\n",
4
+ "citation": "@inproceedings{chawla2021casino,\n title={CaSiNo: A Corpus of Campsite Negotiation Dialogues for Automatic Negotiation Systems},\n author={Chawla, Kushal and Ramirez, Jaysa and Clever, Rene and Lucas, Gale and May, Jonathan and Gratch, Jonathan},\n booktitle={Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies},\n pages={3167--3185},\n year={2021}\n}\n",
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+ "homepage": "https://github.com/kushalchawla/CaSiNo",
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+ "license": "The project is licensed under CC-BY-4.0",
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+ "features": {
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