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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
lhoestq HF staff commited on
Commit
5125969
•
1 Parent(s): c7c671d

add dataset_info in dataset metadata

Browse files
Files changed (1) hide show
  1. README.md +143 -0
README.md CHANGED
@@ -21,6 +21,149 @@ 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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  ---
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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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+ list:
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+ - name: text
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+ dtype: string
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+ - name: task_data
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+ struct:
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+ - name: data
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+ dtype: string
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+ - name: issue2youget
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+ struct:
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+ - name: Firewood
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+ dtype: string
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+ - name: Water
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+ dtype: string
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+ - name: Food
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+ dtype: string
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+ - name: issue2theyget
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+ struct:
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+ - name: Firewood
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+ dtype: string
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+ - name: Water
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+ dtype: string
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+ - name: Food
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+ dtype: string
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+ - name: id
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+ dtype: string
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+ - name: participant_info
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+ struct:
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+ - name: mturk_agent_1
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+ struct:
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+ - name: value2issue
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+ struct:
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+ - name: Low
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+ dtype: string
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+ - name: Medium
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+ dtype: string
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+ - name: High
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+ dtype: string
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+ - name: value2reason
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+ struct:
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+ - name: Low
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+ dtype: string
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+ - name: Medium
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+ dtype: string
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+ - name: High
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+ dtype: string
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+ - name: outcomes
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+ struct:
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+ - name: points_scored
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+ dtype: int32
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+ - name: satisfaction
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+ dtype: string
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+ - name: opponent_likeness
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+ dtype: string
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+ - name: demographics
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+ struct:
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+ - name: age
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+ dtype: int32
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+ - name: gender
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+ dtype: string
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+ - name: ethnicity
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+ dtype: string
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+ - name: education
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+ dtype: string
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+ - name: personality
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+ struct:
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+ - name: svo
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+ dtype: string
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+ - name: big-five
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+ struct:
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+ - name: extraversion
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+ dtype: float32
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+ - name: agreeableness
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+ dtype: float32
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+ - name: conscientiousness
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+ dtype: float32
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+ - name: emotional-stability
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+ dtype: float32
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+ - name: openness-to-experiences
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+ dtype: float32
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+ - name: mturk_agent_2
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+ struct:
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+ - name: value2issue
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+ struct:
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+ - name: Low
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+ dtype: string
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+ - name: Medium
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+ dtype: string
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+ - name: High
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+ dtype: string
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+ - name: value2reason
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+ struct:
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+ - name: Low
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+ dtype: string
120
+ - name: Medium
121
+ dtype: string
122
+ - name: High
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+ dtype: string
124
+ - name: outcomes
125
+ struct:
126
+ - name: points_scored
127
+ dtype: int32
128
+ - name: satisfaction
129
+ dtype: string
130
+ - name: opponent_likeness
131
+ dtype: string
132
+ - name: demographics
133
+ struct:
134
+ - name: age
135
+ dtype: int32
136
+ - name: gender
137
+ dtype: string
138
+ - name: ethnicity
139
+ dtype: string
140
+ - name: education
141
+ dtype: string
142
+ - name: personality
143
+ struct:
144
+ - name: svo
145
+ dtype: string
146
+ - name: big-five
147
+ struct:
148
+ - name: extraversion
149
+ dtype: float32
150
+ - name: agreeableness
151
+ dtype: float32
152
+ - name: conscientiousness
153
+ dtype: float32
154
+ - name: emotional-stability
155
+ dtype: float32
156
+ - name: openness-to-experiences
157
+ dtype: float32
158
+ - name: annotations
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+ list:
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+ list: string
161
+ 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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