Datasets:
Sub-tasks:
dialogue-modeling
Languages:
English
Multilinguality:
monolingual
Size Categories:
1K<n<10K
Language Creators:
crowdsourced
Annotations Creators:
expert-generated
Source Datasets:
original
Tags:
License:
Commit
•
f08c1ce
1
Parent(s):
5125969
Convert dataset to Parquet
Browse filesConvert dataset to Parquet.
- README.md +9 -4
- data/train-00000-of-00001.parquet +3 -0
- dataset_infos.json +266 -1
README.md
CHANGED
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@@ -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
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@@ -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:
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num_examples: 1030
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-
download_size:
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dataset_size:
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---
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- fill-mask
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task_ids:
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- dialogue-modeling
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paperswithcode_id: casino
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+
pretty_name: Campsite Negotiation Dialogues
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dataset_info:
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features:
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- name: chat_logs
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list: string
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splits:
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- 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
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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
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dataset_infos.json
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@@ -1 +1,266 @@
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-
{
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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",
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"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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"chat_logs": [
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{
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"text": {
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"dtype": "string",
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"_type": "Value"
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},
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"task_data": {
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+
"data": {
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+
"dtype": "string",
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+
"_type": "Value"
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+
},
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+
"issue2youget": {
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+
"Firewood": {
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"dtype": "string",
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"_type": "Value"
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+
},
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+
"Water": {
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| 25 |
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"dtype": "string",
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| 26 |
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"_type": "Value"
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+
},
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+
"Food": {
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"dtype": "string",
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"_type": "Value"
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}
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+
},
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+
"issue2theyget": {
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+
"Firewood": {
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"dtype": "string",
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"_type": "Value"
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+
},
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+
"Water": {
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"dtype": "string",
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"_type": "Value"
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+
},
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+
"Food": {
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"dtype": "string",
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"_type": "Value"
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}
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}
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+
},
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"id": {
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"dtype": "string",
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"_type": "Value"
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}
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}
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],
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+
"participant_info": {
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"mturk_agent_1": {
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"value2issue": {
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"Low": {
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"dtype": "string",
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"_type": "Value"
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+
},
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+
"Medium": {
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+
"dtype": "string",
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+
"_type": "Value"
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+
},
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"High": {
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"dtype": "string",
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"_type": "Value"
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}
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},
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+
"value2reason": {
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"Low": {
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"dtype": "string",
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"_type": "Value"
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+
},
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"Medium": {
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"dtype": "string",
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"_type": "Value"
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+
},
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+
"High": {
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"dtype": "string",
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"_type": "Value"
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+
}
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+
},
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+
"outcomes": {
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+
"points_scored": {
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"dtype": "int32",
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"_type": "Value"
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+
},
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+
"satisfaction": {
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+
"dtype": "string",
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"_type": "Value"
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+
},
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+
"opponent_likeness": {
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"dtype": "string",
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"_type": "Value"
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+
}
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+
},
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+
"demographics": {
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+
"age": {
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+
"dtype": "int32",
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"_type": "Value"
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+
},
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+
"gender": {
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+
"dtype": "string",
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+
"_type": "Value"
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+
},
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+
"ethnicity": {
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"dtype": "string",
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"_type": "Value"
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},
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+
"education": {
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"dtype": "string",
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"_type": "Value"
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}
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},
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+
"personality": {
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+
"svo": {
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"dtype": "string",
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"_type": "Value"
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},
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+
"big-five": {
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+
"extraversion": {
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"dtype": "float32",
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"_type": "Value"
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+
},
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+
"agreeableness": {
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| 127 |
+
"dtype": "float32",
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"_type": "Value"
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+
},
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+
"conscientiousness": {
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+
"dtype": "float32",
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"_type": "Value"
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+
},
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+
"emotional-stability": {
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+
"dtype": "float32",
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| 136 |
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"_type": "Value"
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+
},
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+
"openness-to-experiences": {
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| 139 |
+
"dtype": "float32",
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"_type": "Value"
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+
}
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+
}
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+
}
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},
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+
"mturk_agent_2": {
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+
"value2issue": {
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+
"Low": {
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| 148 |
+
"dtype": "string",
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| 149 |
+
"_type": "Value"
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| 150 |
+
},
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| 151 |
+
"Medium": {
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| 152 |
+
"dtype": "string",
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| 153 |
+
"_type": "Value"
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| 154 |
+
},
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+
"High": {
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| 156 |
+
"dtype": "string",
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| 157 |
+
"_type": "Value"
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| 158 |
+
}
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| 159 |
+
},
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| 160 |
+
"value2reason": {
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| 161 |
+
"Low": {
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| 162 |
+
"dtype": "string",
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| 163 |
+
"_type": "Value"
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| 164 |
+
},
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+
"Medium": {
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| 166 |
+
"dtype": "string",
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| 167 |
+
"_type": "Value"
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| 168 |
+
},
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| 169 |
+
"High": {
|
| 170 |
+
"dtype": "string",
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+
"_type": "Value"
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+
}
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| 173 |
+
},
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+
"outcomes": {
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| 175 |
+
"points_scored": {
|
| 176 |
+
"dtype": "int32",
|
| 177 |
+
"_type": "Value"
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| 178 |
+
},
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| 179 |
+
"satisfaction": {
|
| 180 |
+
"dtype": "string",
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| 181 |
+
"_type": "Value"
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| 182 |
+
},
|
| 183 |
+
"opponent_likeness": {
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| 184 |
+
"dtype": "string",
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| 185 |
+
"_type": "Value"
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| 186 |
+
}
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| 187 |
+
},
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| 188 |
+
"demographics": {
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| 189 |
+
"age": {
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| 190 |
+
"dtype": "int32",
|
| 191 |
+
"_type": "Value"
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| 192 |
+
},
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| 193 |
+
"gender": {
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| 194 |
+
"dtype": "string",
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| 195 |
+
"_type": "Value"
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| 196 |
+
},
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+
"ethnicity": {
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+
"dtype": "string",
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| 199 |
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"_type": "Value"
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+
},
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+
"education": {
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"dtype": "string",
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"_type": "Value"
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}
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},
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+
"personality": {
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+
"svo": {
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"dtype": "string",
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"_type": "Value"
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| 210 |
+
},
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+
"big-five": {
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| 212 |
+
"extraversion": {
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| 213 |
+
"dtype": "float32",
|
| 214 |
+
"_type": "Value"
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+
},
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+
"agreeableness": {
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| 217 |
+
"dtype": "float32",
|
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+
"_type": "Value"
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+
},
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+
"conscientiousness": {
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"dtype": "float32",
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| 222 |
+
"_type": "Value"
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| 223 |
+
},
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+
"emotional-stability": {
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+
"dtype": "float32",
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| 226 |
+
"_type": "Value"
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+
},
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| 228 |
+
"openness-to-experiences": {
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| 229 |
+
"dtype": "float32",
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"_type": "Value"
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+
}
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}
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}
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}
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},
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"annotations": [
|
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+
[
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{
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"dtype": "string",
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| 240 |
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"_type": "Value"
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}
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]
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]
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},
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+
"builder_name": "parquet",
|
| 246 |
+
"dataset_name": "casino",
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| 247 |
+
"config_name": "default",
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| 248 |
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"version": {
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