Références :
brut
Utilisez la commande suivante pour charger cet ensemble de données dans TFDS :
ds = tfds.load('huggingface:go_emotions/raw')
- Description :
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.
- Licence : Aucune licence connue
- Version : 0.0.0
- Divisions :
| Diviser | Exemples |
|---|---|
'train' | 211225 |
- Caractéristiques :
{
"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"
}
}
simplifié
Utilisez la commande suivante pour charger cet ensemble de données dans TFDS :
ds = tfds.load('huggingface:go_emotions/simplified')
- Description :
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.
- Licence : Aucune licence connue
- Version : 0.0.0
- Divisions :
| Diviser | Exemples |
|---|---|
'test' | 5427 |
'train' | 43410 |
'validation' | 5426 |
- Caractéristiques :
{
"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"
}
}