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@@ -36,14 +36,14 @@ It takes downloading over 400GB of datasets, working around tfds bugs, and then
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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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- # FLAN Collection
 
 
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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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-
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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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+
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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