Datasets:
Tasks:
Text Generation
Modalities:
Text
Formats:
csv
Sub-tasks:
language-modeling
Languages:
Hindi
Size:
10K - 100K
Tags:
generation
License:
major: added summarization data
Browse filesDataset used: https://www.kaggle.com/datasets/disisbig/hindi-text-short-and-large-summarization-corpus
Converted the data by dropping nas in summaries and then converting article into prompts and generation targets. No other pre/post processing.
- .gitattributes +2 -0
- test.csv +3 -0
- train.csv +3 -0
.gitattributes
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*.jpg filter=lfs diff=lfs merge=lfs -text
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*.jpeg filter=lfs diff=lfs merge=lfs -text
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*.webp filter=lfs diff=lfs merge=lfs -text
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*.jpg filter=lfs diff=lfs merge=lfs -text
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*.jpeg filter=lfs diff=lfs merge=lfs -text
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*.webp filter=lfs diff=lfs merge=lfs -text
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test.csv filter=lfs diff=lfs merge=lfs -text
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train.csv filter=lfs diff=lfs merge=lfs -text
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test.csv
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version https://git-lfs.github.com/spec/v1
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oid sha256:1dd23af5a765ba831b085dbe2621fc8b4ebb5ffc52214012f91a850c4cabbdbc
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size 128286960
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train.csv
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version https://git-lfs.github.com/spec/v1
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oid sha256:9bba02a8b610faa7bb96754bd11ccc3e2d61ed89a582938443f41ffa73e0e5f6
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size 513035487
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