Commit
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21bfc53
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Parent(s):
93e006e
Delete legacy dataset_infos.json
Browse files- dataset_infos.json +0 -262
dataset_infos.json
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{
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"raw": {
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"description": "The GoEmotions dataset contains 58k carefully curated Reddit comments labeled for 27 emotion categories or Neutral.\nThe emotion categories are admiration, amusement, anger, annoyance, approval, caring, confusion, curiosity, desire,\ndisappointment, disapproval, disgust, embarrassment, excitement, fear, gratitude, grief, joy, love, nervousness,\noptimism, pride, realization, relief, remorse, sadness, surprise.\n",
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"citation": "@inproceedings{demszky2020goemotions,\n author = {Demszky, Dorottya and Movshovitz-Attias, Dana and Ko, Jeongwoo and Cowen, Alan and Nemade, Gaurav and Ravi, Sujith},\n booktitle = {58th Annual Meeting of the Association for Computational Linguistics (ACL)},\n title = {{GoEmotions: A Dataset of Fine-Grained Emotions}},\n year = {2020}\n}\n",
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"homepage": "https://github.com/google-research/google-research/tree/master/goemotions",
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"license": "",
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"features": {
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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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"id": {
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"dtype": "string",
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"_type": "Value"
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},
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"author": {
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"dtype": "string",
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"_type": "Value"
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},
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"subreddit": {
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"dtype": "string",
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"_type": "Value"
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},
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"link_id": {
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"dtype": "string",
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"_type": "Value"
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},
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"parent_id": {
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"dtype": "string",
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"_type": "Value"
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},
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"created_utc": {
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"dtype": "float32",
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"_type": "Value"
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},
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"rater_id": {
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"dtype": "int32",
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"_type": "Value"
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},
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"example_very_unclear": {
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"dtype": "bool",
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"_type": "Value"
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},
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"admiration": {
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"dtype": "int32",
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"_type": "Value"
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},
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"amusement": {
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"dtype": "int32",
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"_type": "Value"
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},
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"anger": {
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"dtype": "int32",
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"_type": "Value"
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},
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"annoyance": {
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"dtype": "int32",
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"_type": "Value"
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},
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"approval": {
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"dtype": "int32",
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"_type": "Value"
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},
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"caring": {
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"dtype": "int32",
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"_type": "Value"
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},
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"confusion": {
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"dtype": "int32",
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"_type": "Value"
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},
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"curiosity": {
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"dtype": "int32",
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"_type": "Value"
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},
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"desire": {
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"dtype": "int32",
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"_type": "Value"
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},
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"disappointment": {
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"dtype": "int32",
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"_type": "Value"
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},
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"disapproval": {
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"dtype": "int32",
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"_type": "Value"
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},
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"disgust": {
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"dtype": "int32",
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"_type": "Value"
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},
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"embarrassment": {
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"dtype": "int32",
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"_type": "Value"
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},
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"excitement": {
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"dtype": "int32",
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"_type": "Value"
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},
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"fear": {
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"dtype": "int32",
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"_type": "Value"
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},
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"gratitude": {
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"dtype": "int32",
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"_type": "Value"
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},
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"grief": {
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"dtype": "int32",
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"_type": "Value"
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},
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"joy": {
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"dtype": "int32",
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"_type": "Value"
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},
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"love": {
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"dtype": "int32",
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"_type": "Value"
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},
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"nervousness": {
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"dtype": "int32",
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"_type": "Value"
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},
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"optimism": {
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"dtype": "int32",
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"_type": "Value"
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},
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"pride": {
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"dtype": "int32",
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"_type": "Value"
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},
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"realization": {
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"dtype": "int32",
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"_type": "Value"
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},
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"relief": {
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"dtype": "int32",
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"_type": "Value"
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},
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"remorse": {
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"dtype": "int32",
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"_type": "Value"
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},
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"sadness": {
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"dtype": "int32",
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"_type": "Value"
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},
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"surprise": {
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"dtype": "int32",
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"_type": "Value"
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},
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"neutral": {
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"dtype": "int32",
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"_type": "Value"
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}
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},
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"builder_name": "go_emotions",
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"dataset_name": "go_emotions",
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"config_name": "raw",
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"version": {
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"version_str": "0.0.0",
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"major": 0,
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"minor": 0,
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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": 55343102,
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"num_examples": 211225,
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"dataset_name": null
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}
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},
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"download_size": 24828322,
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"dataset_size": 55343102,
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"size_in_bytes": 80171424
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},
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"simplified": {
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"description": "The GoEmotions dataset contains 58k carefully curated Reddit comments labeled for 27 emotion categories or Neutral.\nThe emotion categories are admiration, amusement, anger, annoyance, approval, caring, confusion, curiosity, desire,\ndisappointment, disapproval, disgust, embarrassment, excitement, fear, gratitude, grief, joy, love, nervousness,\noptimism, pride, realization, relief, remorse, sadness, surprise.\n",
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"citation": "@inproceedings{demszky2020goemotions,\n author = {Demszky, Dorottya and Movshovitz-Attias, Dana and Ko, Jeongwoo and Cowen, Alan and Nemade, Gaurav and Ravi, Sujith},\n booktitle = {58th Annual Meeting of the Association for Computational Linguistics (ACL)},\n title = {{GoEmotions: A Dataset of Fine-Grained Emotions}},\n year = {2020}\n}\n",
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"homepage": "https://github.com/google-research/google-research/tree/master/goemotions",
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"license": "",
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"features": {
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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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"labels": {
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"feature": {
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"names": [
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"admiration",
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"amusement",
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"anger",
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"annoyance",
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"approval",
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"caring",
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"confusion",
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"curiosity",
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"desire",
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"disappointment",
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"disapproval",
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"disgust",
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"embarrassment",
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"excitement",
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"fear",
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"gratitude",
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"grief",
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"joy",
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"love",
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"nervousness",
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"optimism",
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"pride",
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"realization",
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"relief",
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"remorse",
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"sadness",
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"surprise",
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"neutral"
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],
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"_type": "ClassLabel"
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},
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"_type": "Sequence"
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},
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"id": {
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}
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"builder_name": "go_emotions",
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"dataset_name": "go_emotions",
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"config_name": "simplified",
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"version": {
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"version_str": "0.0.0",
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"num_bytes": 4224138,
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"num_examples": 43410,
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"validation": {
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"name": "validation",
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"num_examples": 5426,
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"test": {
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"name": "test",
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"download_size": 3464371,
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"dataset_size": 5275700,
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"size_in_bytes": 8740071
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}
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}
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