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README.md
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We provide this repo as a resource to other ML researchers, as it saves these time consuming and laborious steps to getting the data into a more accessible format for further consumption.
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#
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* JSON files at top level are used for subsampling in OpenOrca
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* Parquets in subdirectories contain the entire FLAN collection in Dask-sharded folders by submix fractions
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# Data
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## Zero-Shot vs Few-Shot and Options vs No-Options
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The core sub-collections of FLAN are `CoT`, `Dialog`, `NIv2`, `T0`, and `flan2021`.
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## Parquet Sizes
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```
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$ du -h --max-depth=1 ./
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9.1G ./niv2_fsopt_data
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We provide this repo as a resource to other ML researchers, as it saves these time consuming and laborious steps to getting the data into a more accessible format for further consumption.
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# Data
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## Organization
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* JSON files at top level are used for subsampling in OpenOrca
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* Parquets in subdirectories contain the entire FLAN collection in Dask-sharded folders by submix fractions
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## Zero-Shot vs Few-Shot and Options vs No-Options
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The core sub-collections of FLAN are `CoT`, `Dialog`, `NIv2`, `T0`, and `flan2021`.
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## Parquet Sizes
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Each sub-collection's individual remixes are provided as [Parquet](https://huggingface.co/docs/datasets/loading#parquet) files which have been sharded by [Dask](https://huggingface.co/docs/datasets/main/en/filesystems#dask) into ~160MB chunks (starting from 256MB blocks of the source jsonl files).
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The folder structure along with size sums is provided below.
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```
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$ du -h --max-depth=1 ./
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9.1G ./niv2_fsopt_data
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