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---
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dataset_info:
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features:
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- name: doc_id
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dtype: string
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- name: type
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dtype: string
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- name: text
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dtype: string
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splits:
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- name: train
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num_bytes: 25324509618
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num_examples: 806930
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download_size: 9419131940
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dataset_size: 25324509618
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configs:
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- config_name: default
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data_files:
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- split: train
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path: data/train-*
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license: cc-by-4.0
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task_categories:
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- text-generation
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language:
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- hi
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- en
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pretty_name: 'long-context '
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size_categories:
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- 100K<n<1M
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---
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# Dataset |
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This dataset was filtered from AI4BHarat dataset [sangraha](https://huggingface.co/datasets/ai4bharat/sangraha),which is the largest high-quality, cleaned Indic language pretraining data containing 251B tokens summed up over 22 languages, extracted from curated sources, existing multilingual corpora and large scale translations. |
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This dataset only Hindi as of now |
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# Information |
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* First this dataset is mainly for long context training |
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* The minimum len is and maximum len is |
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# Getting started |
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For downloading the entire dataset: |
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``` |
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from datasets import load_dataset |
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dataset = load_dataset("damerajee/long_context_hindi") |
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``` |
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If dataset is too big you can simply stream: |
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``` |
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from datasets import load_dataset |
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dataset = load_dataset("damerajee/long_context_hindi",split='train',streaming=True) |
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``` |
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``` |
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dataset.take(2) |
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``` |
