Update README.md

README.md

@@ -22,7 +22,9 @@ task_ids:
 ---
 
 Note: this repo is a WIP and does not yet implement all features described below. It is certainly not ready to be used to train a model. 
-# Dataset description
+# Dataset Card for Proof-pile
+
+# Dataset Description
 The `proof-pile` is a 45GB pre-training dataset of mathematical text. The dataset is composed of diverse sources of both informal and formal mathematics, namely
 - ArXiv.math (40GB)
 - Open-source math textbooks (50MB)
@@ -38,3 +40,12 @@ The `proof-pile` is a 45GB pre-training dataset of mathematical text. The datase
   - ProofWiki
   - Wikipedia math articles
 - MATH dataset (6MB)
+
+# Supported Tasks
+This dataset is intended to be used for pre-training language models. We envision models pre-trained on the `proof-pile` will have many downstream applications, including informal quantitative reasoning, formal theorem proving, semantic search for formal mathematics, and autoformalization. 
+
+# Languages
+All informal mathematics in the `proof-pile` is written in English and LaTeX (arXiv articles in other languages are filtered out using [languagedetect](https://github.com/shuyo/language-detection/blob/wiki/ProjectHome.md)). Formal theorem proving languages represented in this dataset are Lean 3, Isabelle, Coq, HOL Light, Metamath, and Mizar.
+
+ # Splits 
+ The data is sorted into `"arxiv", "books", "formal", "stack-exchange", "wiki",` and `"math-dataset"` configurations. This is so that it is easy to upsample particular configurations during pre-training with the `datasets.interleave_datasets()` function.