Referanslar:
çiğ
Bu veri kümesini TFDS'ye yüklemek için aşağıdaki komutu kullanın:
ds = tfds.load('huggingface:go_emotions/raw')
- Tanım :
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.
- Lisans : Bilinen lisans yok
- Sürüm : 0.0.0
- Bölünmeler :
| Bölmek | Örnekler |
|---|---|
'train' | 211225 |
- Özellikler :
{
"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"
}
}
basitleştirilmiş
Bu veri kümesini TFDS'ye yüklemek için aşağıdaki komutu kullanın:
ds = tfds.load('huggingface:go_emotions/simplified')
- Tanım :
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.
- Lisans : Bilinen lisans yok
- Sürüm : 0.0.0
- Bölünmeler :
| Bölmek | Örnekler |
|---|---|
'test' | 5427 |
'train' | 43410 |
'validation' | 5426 |
- Özellikler :
{
"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"
}
}