Update README.md

README.md

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 <li><b>Models:</b> CodeParrot (1.5B) and CodeParrot-small (110M), each repo has different ongoing experiments in the branches.</li>
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-<li><b>Datasets:</b><ul><li><a href="https://huggingface.co/datasets/codeparrot/codeparrot-clean" class="underline">codeparrot-clean</a>, dataset on which we trained and evaluated CodeParrot, the splits are available under <a href="https://huggingface.co/datasets/codeparrot/codeparrot-clean-train" class="underline">codeparrot-clean-train</a> and <a href="https://huggingface.co/datasets/codeparrot/codeparrot-clean-valid" class="underline">codeparrot-clean-valid</a>.</li>
-<li>A more filtered version of codeparrot-clean under <a href="https://huggingface.co/datasets/codeparrot/codeparrot-train-more-filtering" class="underline">codeparrot-train-more-filtering</a> and <a href="https://huggingface.co/datasets/codeparrot/codeparrot-valid-more-filtering" class="underline">codeparrot-train-more-filtering</a>.</li>
-<li>CodeParrot dataset after near deduplication since initially only exact match deduplication was performed, it's available under <a href="https://huggingface.co/datasets/codeparrot/codeparrot-train-near-deduplication" class="underline">codeparrot-train-near-deduplication</a> and <a href="https://huggingface.co/datasets/codeparrot/codeparrot-valid-near-deduplication" class="underline">codeparrot-train-near-deduplication</a>.</li>
-<li><a href="https://huggingface.co/datasets/codeparrot/github-code" class="underline">GitHub-Code</a>, a 1TB dataset of 32 programming languages with 60 from GitHub files.</li>
-<li><a href="https://huggingface.co/datasets/codeparrot/github-jupyter" class="underline">GitHub-Jupyter</a>, a 16.3GB dataset of Jupyter Notebooks  from BigQuery GitHub.</li>
-<li><a href="https://huggingface.co/datasets/codeparrot/apps" class="underline">APPS</a>, a benchmark for code generation with 10000 problems.</li>
+<li><b>Datasets:</b><ul>
+<li>1- <a href="https://huggingface.co/datasets/codeparrot/codeparrot-clean" class="underline">codeparrot-clean</a>, dataset on which we trained and evaluated CodeParrot, the splits are available under <a href="https://huggingface.co/datasets/codeparrot/codeparrot-clean-train" class="underline">codeparrot-clean-train</a> and <a href="https://huggingface.co/datasets/codeparrot/codeparrot-clean-valid" class="underline">codeparrot-clean-valid</a>.</li>
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+<li>2- A more filtered version of codeparrot-clean under <a href="https://huggingface.co/datasets/codeparrot/codeparrot-train-more-filtering" class="underline">codeparrot-train-more-filtering</a> and <a href="https://huggingface.co/datasets/codeparrot/codeparrot-valid-more-filtering" class="underline">codeparrot-train-more-filtering</a>.</li>
+<li>3- CodeParrot dataset after near deduplication since initially only exact match deduplication was performed, it's available under <a href="https://huggingface.co/datasets/codeparrot/codeparrot-train-near-deduplication" class="underline">codeparrot-train-near-deduplication</a> and <a href="https://huggingface.co/datasets/codeparrot/codeparrot-valid-near-deduplication" class="underline">codeparrot-train-near-deduplication</a>.</li>
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+<li>4- <a href="https://huggingface.co/datasets/codeparrot/github-code" class="underline">GitHub-Code</a>, a 1TB dataset of 32 programming languages with 60 from GitHub files.</li>
+<li>5- <a href="https://huggingface.co/datasets/codeparrot/github-jupyter" class="underline">GitHub-Jupyter</a>, a 16.3GB dataset of Jupyter Notebooks  from BigQuery GitHub.</li>
+<li>6- <a href="https://huggingface.co/datasets/codeparrot/apps" class="underline">APPS</a>, a benchmark for code generation with 10000 problems.</li>
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