منابع:
خام
برای بارگذاری این مجموعه داده در TFDS از دستور زیر استفاده کنید:
ds = tfds.load('huggingface:go_emotions/raw')
- شرح :
The GoEmotions dataset contains 58k carefully curated Reddit comments labeled for 27 emotion categories or Neutral.
The emotion categories are admiration, amusement, anger, annoyance, approval, caring, confusion, curiosity, desire,
disappointment, disapproval, disgust, embarrassment, excitement, fear, gratitude, grief, joy, love, nervousness,
optimism, pride, realization, relief, remorse, sadness, surprise.
- مجوز : مجوز شناخته شده ای وجود ندارد
- نسخه : 0.0.0
- تقسیم ها :
شکاف | مثال ها |
---|---|
'train' | 211225 |
- امکانات :
{
"text": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"author": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"subreddit": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"link_id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"parent_id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"created_utc": {
"dtype": "float32",
"id": null,
"_type": "Value"
},
"rater_id": {
"dtype": "int32",
"id": null,
"_type": "Value"
},
"example_very_unclear": {
"dtype": "bool",
"id": null,
"_type": "Value"
},
"admiration": {
"dtype": "int32",
"id": null,
"_type": "Value"
},
"amusement": {
"dtype": "int32",
"id": null,
"_type": "Value"
},
"anger": {
"dtype": "int32",
"id": null,
"_type": "Value"
},
"annoyance": {
"dtype": "int32",
"id": null,
"_type": "Value"
},
"approval": {
"dtype": "int32",
"id": null,
"_type": "Value"
},
"caring": {
"dtype": "int32",
"id": null,
"_type": "Value"
},
"confusion": {
"dtype": "int32",
"id": null,
"_type": "Value"
},
"curiosity": {
"dtype": "int32",
"id": null,
"_type": "Value"
},
"desire": {
"dtype": "int32",
"id": null,
"_type": "Value"
},
"disappointment": {
"dtype": "int32",
"id": null,
"_type": "Value"
},
"disapproval": {
"dtype": "int32",
"id": null,
"_type": "Value"
},
"disgust": {
"dtype": "int32",
"id": null,
"_type": "Value"
},
"embarrassment": {
"dtype": "int32",
"id": null,
"_type": "Value"
},
"excitement": {
"dtype": "int32",
"id": null,
"_type": "Value"
},
"fear": {
"dtype": "int32",
"id": null,
"_type": "Value"
},
"gratitude": {
"dtype": "int32",
"id": null,
"_type": "Value"
},
"grief": {
"dtype": "int32",
"id": null,
"_type": "Value"
},
"joy": {
"dtype": "int32",
"id": null,
"_type": "Value"
},
"love": {
"dtype": "int32",
"id": null,
"_type": "Value"
},
"nervousness": {
"dtype": "int32",
"id": null,
"_type": "Value"
},
"optimism": {
"dtype": "int32",
"id": null,
"_type": "Value"
},
"pride": {
"dtype": "int32",
"id": null,
"_type": "Value"
},
"realization": {
"dtype": "int32",
"id": null,
"_type": "Value"
},
"relief": {
"dtype": "int32",
"id": null,
"_type": "Value"
},
"remorse": {
"dtype": "int32",
"id": null,
"_type": "Value"
},
"sadness": {
"dtype": "int32",
"id": null,
"_type": "Value"
},
"surprise": {
"dtype": "int32",
"id": null,
"_type": "Value"
},
"neutral": {
"dtype": "int32",
"id": null,
"_type": "Value"
}
}
ساده شده
برای بارگذاری این مجموعه داده در TFDS از دستور زیر استفاده کنید:
ds = tfds.load('huggingface:go_emotions/simplified')
- شرح :
The GoEmotions dataset contains 58k carefully curated Reddit comments labeled for 27 emotion categories or Neutral.
The emotion categories are admiration, amusement, anger, annoyance, approval, caring, confusion, curiosity, desire,
disappointment, disapproval, disgust, embarrassment, excitement, fear, gratitude, grief, joy, love, nervousness,
optimism, pride, realization, relief, remorse, sadness, surprise.
- مجوز : مجوز شناخته شده ای وجود ندارد
- نسخه : 0.0.0
- تقسیم ها :
شکاف | مثال ها |
---|---|
'test' | 5427 |
'train' | 43410 |
'validation' | 5426 |
- امکانات :
{
"text": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"labels": {
"feature": {
"num_classes": 28,
"names": [
"admiration",
"amusement",
"anger",
"annoyance",
"approval",
"caring",
"confusion",
"curiosity",
"desire",
"disappointment",
"disapproval",
"disgust",
"embarrassment",
"excitement",
"fear",
"gratitude",
"grief",
"joy",
"love",
"nervousness",
"optimism",
"pride",
"realization",
"relief",
"remorse",
"sadness",
"surprise",
"neutral"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"id": {
"dtype": "string",
"id": null,
"_type": "Value"
}
}