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Delete legacy dataset_infos.json
Browse files- dataset_infos.json +0 -266
dataset_infos.json
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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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"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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"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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"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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"_type": "Value"
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},
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"openness-to-experiences": {
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"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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"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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"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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"_type": "Value"
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},
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"openness-to-experiences": {
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"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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"_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",
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"dataset_name": "casino",
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"config_name": "default",
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"version": {
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"version_str": "1.1.0",
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"major": 1,
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"minor": 1,
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"patch": 0
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},
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"splits": {
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"train": {
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"name": "train",
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"num_bytes": 3211407,
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"num_examples": 1030,
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"dataset_name": null
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}
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},
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"download_size": 1247368,
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"dataset_size": 3211407,
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"size_in_bytes": 4458775
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}
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}
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