Referencje:
surowy
Użyj następującego polecenia, aby załadować ten zestaw danych do TFDS:
ds = tfds.load('huggingface:go_emotions/raw')
- Opis :
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.
- Licencja : Brak znanej licencji
- Wersja : 0.0.0
- Podziały :
| Podział | Przykłady |
|---|---|
'train' | 211225 |
- Cechy :
{
"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"
}
}
uproszczony
Użyj następującego polecenia, aby załadować ten zestaw danych do TFDS:
ds = tfds.load('huggingface:go_emotions/simplified')
- Opis :
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.
- Licencja : Brak znanej licencji
- Wersja : 0.0.0
- Podziały :
| Podział | Przykłady |
|---|---|
'test' | 5427 |
'train' | 43410 |
'validation' | 5426 |
- Cechy :
{
"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"
}
}