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README.md

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-This organization is dedicated to language models for code generation. In particular CodeParrot is a GPT-2 model trained to generate Python code. For more details about code generation with Hugging Face tools please refer to our blog: [**Code generation with 🤗**](https://huggingface.co/spaces/loubnabnl/code-generation-models).
+This organization is dedicated to language models for code generation. In particular CodeParrot is a GPT-2 model trained to generate Python code.
+
+## Table of contents:
+
+* Interactive blog: [Code generation with 🤗](https://huggingface.co/spaces/loubnabnl/code-generation-models), where we compare different code models and explain how they are trained and evaluated.
+* Spaces: code generation with: [CodeParrot](https://huggingface.co/codeparrot/codeparrot) (1.5B), [InCoder](https://huggingface.co/facebook/incoder-6B) (6B) and [CodeGen](https://github.com/salesforce/CodeGen) (6B)
+* Models: CodeParrot (1.5B) and CodeParrot-small (110M), each repo has different ongoing experiments in the branches.
+* Datasets:
+    * [codeparrot-clean](https://huggingface.co/datasets/codeparrot/codeparrot-clean), dataset on which we trained and evaluated CodeParrot, the splits are available under [codeparrot-clean-train](https://huggingface.co/datasets/codeparrot/codeparrot-clean-train) and [codeparrot-clean-valid](https://huggingface.co/datasets/codeparrot/codeparrot-clean-valid).
+    * A more filtered version of codeparrot-clean under [codeparrot-train-more-filtering](https://huggingface.co/datasets/codeparrot/codeparrot-train-more-filtering) and [codeparrot-train-more-filtering](https://huggingface.co/datasets/codeparrot/codeparrot-valid-more-filtering).
+    * CodeParrot dataset after near deduplication since initially only exact match deduplication was performed, it's available under [codeparrot-train-near-deduplication](https://huggingface.co/datasets/codeparrot/codeparrot-train-near-deduplication) and [codeparrot-train-near-deduplication](https://huggingface.co/datasets/codeparrot/codeparrot-valid-near-deduplication).
+    * [GitHub-Code](https://huggingface.co/datasets/codeparrot/github-code), a 1TB dataset of 32 programming languages with 60 from GitHub files.
+    * [GitHub-Jupyter](https://huggingface.co/datasets/codeparrot/github-jupyter), a 16.3GB dataset of Jupyter Notebooks  from BigQuery GitHub.
+    * [APPS](https://huggingface.co/datasets/codeparrot/apps), a benchmark for code generation with 10000 problems.