Datasets:

Open-Orca
/

FLAN

@@ -36,14 +36,14 @@ It takes downloading over 400GB of datasets, working around tfds bugs, and then
 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.
-# FLAN Collection
 * JSON files at top level are used for subsampling in OpenOrca
 * Parquets in subdirectories contain the entire FLAN collection in Dask-sharded folders by submix fractions
-# Data
 ## Zero-Shot vs Few-Shot and Options vs No-Options
 The core sub-collections of FLAN are `CoT`, `Dialog`, `NIv2`, `T0`, and `flan2021`.
@@ -62,6 +62,9 @@ Notably, this is the largest "remix" and the one that necessitates 512GB CPU ram
 ## Parquet Sizes
 ```
 $ du -h --max-depth=1 ./
 9.1G    ./niv2_fsopt_data

 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.
+# Data
+## Organization
 * JSON files at top level are used for subsampling in OpenOrca
 * Parquets in subdirectories contain the entire FLAN collection in Dask-sharded folders by submix fractions
 ## Zero-Shot vs Few-Shot and Options vs No-Options
 The core sub-collections of FLAN are `CoT`, `Dialog`, `NIv2`, `T0`, and `flan2021`.
 ## Parquet Sizes
+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).
+The folder structure along with size sums is provided below.
 ```
 $ du -h --max-depth=1 ./
 9.1G    ./niv2_fsopt_data