Update README.md

README.md

@@ -182,4 +182,53 @@ configs:
     path: "data/YoutubeSubtitles/train/*.arrow"
   - split: test
     path: "data/YoutubeSutitles/test/*.arrow"
----
+---
+
+# Dataset description
+
+[The pile](https://arxiv.org/abs/2101.00027) is an 800GB dataset of english text 
+designed by EleutherAI to train large-scale language models. The original version of
+the dataset can be found [here](https://huggingface.co/datasets/EleutherAI/pile).
+
+The dataset is divided into 22 smaller high-quality datasets. For more information 
+each of them, please refer to [the datasheet for the pile](https://arxiv.org/abs/2201.07311).
+
+However, the current version of the dataset, available on the Hub, is not splitted accordingly.
+We had to solve this problem in order to improve the user experience when it comes to deal with 
+the pile via the hub.
+
+Here is an instance of the pile
+
+```
+{
+  'meta': {'pile_set_name': 'Pile-CC'},
+  'text': 'It is done, and submitted. You can play “Survival of the Tastiest” on Android, and on the web. Playing on...'
+}
+```
+
+We used the `meta` column to properly divide the dataset in subsets. Each instance `example` belongs to the subset 
+`domain` and `domain = example['meta']['pile_set_name']`. By doing this, we were able to create a [new version of the pile](https://huggingface.co/datasets/ArmelR/sharded-pile)
+that is properly divided, each instance having a new column `domain`.
+
+We further splitted each subset in train/test (97%/3%) to build the current dataset which the following structure
+
+```
+data
+  ArXiv
+    train
+    test
+  BookCorpus2
+    train
+    test
+  Books3
+    train
+    test
+```
+
+# Usage
+
+```python
+from datasets import load_dataset
+dataset = load_dataset("ArmelR/the-pile-splitted", "subset_of_interest", num_proc=8)
+```
+Using `subset_of_interest = "default"` would load the whole dataset.