Datasets:
Tasks:
Text Classification
Modalities:
Text
Formats:
csv
Languages:
code
Size:
10K - 100K
Tags:
classification
License:
| # -------------------------------------------- | |
| import codefast as cf | |
| from rich import print | |
| from typing import List, Union, Callable, Set, Dict, Tuple, Optional, Any | |
| from pydantic import BaseModel | |
| from codefast.patterns.pipeline import Pipeline, BeeMaxin | |
| # —-------------------------------------------- | |
| import datasets | |
| ds = datasets.load_dataset('ttxy/emotion') | |
| print(ds) | |
| X = ds['train'].to_pandas() | |
| Xv = ds['validation'].to_pandas() | |
| Xt = ds['test'].to_pandas() | |
| X.to_csv('train.csv', index=False) | |
| Xv.to_csv('valid.csv', index=False) | |
| Xt.to_csv('test.csv', index=False) | |