Datasets:
Tasks:
Text Classification
Modalities:
Text
Formats:
csv
Languages:
code
Size:
10K - 100K
Tags:
classification
License:
Commit
·
7b56660
1
Parent(s):
149a21f
reinit emotion dataset
Browse files- README.md +15 -0
- data/test-00000-of-00001.parquet +0 -3
- data/train-00000-of-00001.parquet +0 -3
- data/validation-00000-of-00001.parquet +0 -3
- main.py +21 -0
- test.csv +0 -0
- train.csv +0 -0
- valid.csv +0 -0
README.md
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---
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language:
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- code
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pretty_name: "English Emotion classification"
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tags:
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- classification
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license: "bsd"
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task_categories:
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- text-classification
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---
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一个包含六种基本情绪(愤怒、恐惧、喜悦、爱、悲伤和惊讶)的英文Twitter消息数据集
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Github 链接 https://github.com/dair-ai/emotion_dataset
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data/test-00000-of-00001.parquet
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version https://git-lfs.github.com/spec/v1
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oid sha256:77e7ab878e3edec69d9ef86f0878ce98d1c441392d5affd8a3a5faebf13aadf1
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size 127104
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data/train-00000-of-00001.parquet
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version https://git-lfs.github.com/spec/v1
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oid sha256:c6802436cb2e759c8e056abf8a676a82a8082cf19e5c9df6e81f2fac94875257
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size 1012845
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data/validation-00000-of-00001.parquet
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version https://git-lfs.github.com/spec/v1
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oid sha256:834d13dce5e932637869cc28f0e85cd1c1f8c588e4f755334902827ebea74903
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size 124863
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main.py
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# --------------------------------------------
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import codefast as cf
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from rich import print
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from typing import List, Union, Callable, Set, Dict, Tuple, Optional, Any
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from pydantic import BaseModel
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from codefast.patterns.pipeline import Pipeline, BeeMaxin
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# —--------------------------------------------
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import datasets
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ds = datasets.load_dataset('ttxy/emotion')
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print(ds)
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X = ds['train'].to_pandas()
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Xv = ds['validation'].to_pandas()
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Xt = ds['test'].to_pandas()
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X.to_csv('train.csv', index=False)
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Xv.to_csv('valid.csv', index=False)
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Xt.to_csv('test.csv', index=False)
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test.csv
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train.csv
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valid.csv
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