Datasets:
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README.md
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@@ -627,8 +627,8 @@ Token counts are computed using the tokenizer for [Lucie-7B](https://huggingface
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<table>
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<thead>
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<tr>
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<th><
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<th><strong>
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<th><strong>M docs</strong></th>
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<th><strong>B words</strong></th>
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<th><strong>B tokens</strong></th>
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<tr>
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<td rowspan="11" style="vertical-align: top;"><strong>TOTAL</strong></td>
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<td></td>
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<td>
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<td>
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<td>
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<td>
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<td></td>
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</tr>
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<tr>
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<td><strong>French (fr)</strong></td>
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<td>
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<td>
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<td>
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<td>
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<td><a href="https://huggingface.co/datasets/OpenLLM-France/Lucie-Training-Dataset/blob/main/figures/
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</tr>
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<tr>
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@@ -662,7 +662,7 @@ Token counts are computed using the tokenizer for [Lucie-7B](https://huggingface
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<td>412.202</td>
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<td>611.894</td>
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<td>2553.541</td>
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<td><a href="https://huggingface.co/datasets/OpenLLM-France/Lucie-Training-Dataset/blob/main/figures/
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</tr>
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<tr>
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@@ -671,7 +671,7 @@ Token counts are computed using the tokenizer for [Lucie-7B](https://huggingface
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<td>51.306</td>
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<td>228.954</td>
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<td>630.749</td>
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<td><a href="https://huggingface.co/datasets/OpenLLM-France/Lucie-Training-Dataset/blob/main/figures/
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</tr>
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<tr>
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@@ -680,7 +680,7 @@ Token counts are computed using the tokenizer for [Lucie-7B](https://huggingface
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<td>105.609</td>
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<td>206.610</td>
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682 |
<td>764.779</td>
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<td><a href="https://huggingface.co/datasets/OpenLLM-France/Lucie-Training-Dataset/blob/main/figures/
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</tr>
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<tr>
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@@ -689,7 +689,7 @@ Token counts are computed using the tokenizer for [Lucie-7B](https://huggingface
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<td>123.857</td>
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<td>200.825</td>
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<td>759.457</td>
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<td><a href="https://huggingface.co/datasets/OpenLLM-France/Lucie-Training-Dataset/blob/main/figures/
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</tr>
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<tr>
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@@ -698,7 +698,7 @@ Token counts are computed using the tokenizer for [Lucie-7B](https://huggingface
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<td>62.051</td>
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<td>112.031</td>
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<td>404.454</td>
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<td><a href="https://huggingface.co/datasets/OpenLLM-France/Lucie-Training-Dataset/blob/main/figures/
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</tr>
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<tr>
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@@ -707,7 +707,7 @@ Token counts are computed using the tokenizer for [Lucie-7B](https://huggingface
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<td>17.016</td>
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<td>25.494</td>
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<td>107.658</td>
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<td><a href="https://huggingface.co/datasets/OpenLLM-France/Lucie-Training-Dataset/blob/main/figures/
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</tr>
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<tr>
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@@ -745,7 +745,7 @@ Token counts are computed using the tokenizer for [Lucie-7B](https://huggingface
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<td>477.758</td>
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<td>741.023</td>
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<td>2974.596</td>
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<td><a href="https://huggingface.co/datasets/OpenLLM-France/Lucie-Training-Dataset/blob/main/figures/
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</tr>
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<tr>
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<td>103.078</td>
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<td>201.371</td>
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<td>747.631</td>
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<td><a href="https://huggingface.co/datasets/OpenLLM-France/Lucie-Training-Dataset/blob/main/figures/
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</tr>
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<tr>
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@@ -763,7 +763,7 @@ Token counts are computed using the tokenizer for [Lucie-7B](https://huggingface
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<td>121.751</td>
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<td>197.125</td>
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<td>746.984</td>
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<td><a href="https://huggingface.co/datasets/OpenLLM-France/Lucie-Training-Dataset/blob/main/figures/
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</tr>
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<tr>
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@@ -772,7 +772,7 @@ Token counts are computed using the tokenizer for [Lucie-7B](https://huggingface
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<td>60.194</td>
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<td>108.416</td>
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<td>393.012</td>
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<td><a href="https://huggingface.co/datasets/OpenLLM-France/Lucie-Training-Dataset/blob/main/figures/
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</tr>
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<tr>
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<td><a href="#finewebedu"><strong>FineWebEdu</strong></a></td>
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@@ -781,7 +781,7 @@ Token counts are computed using the tokenizer for [Lucie-7B](https://huggingface
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<td>327.453</td>
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<td>467.837</td>
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<td>2018.215</td>
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<td><a href="https://huggingface.co/datasets/OpenLLM-France/Lucie-Training-Dataset/blob/main/figures/
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</tr>
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<tr>
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<td colspan="7"><h4 id="category-newspaper">Category: Newspaper</h4></td></tr>
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<td>8.902</td>
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<td>14.313</td>
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<td>50.844</td>
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<td><a href="https://huggingface.co/datasets/OpenLLM-France/Lucie-Training-Dataset/blob/main/figures/
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</tr>
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<tr>
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<td colspan="7"><h4 id="category-technical">Category: Technical</h4></td></tr>
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<tr>
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<td><a href="#pes2o"><strong>PeS2o</strong></a></td>
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<td><strong>English (en)</strong></td>
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<td>38.972</td>
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<td>42.296</td>
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@@ -833,15 +833,6 @@ Token counts are computed using the tokenizer for [Lucie-7B](https://huggingface
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<td></td>
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</tr>
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<tr>
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<td><a href="#persee"><strong>Persee</strong></a></td>
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<td><strong>French (fr)</strong></td>
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<td>1.094</td>
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<td>3.250</td>
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<td>5.754</td>
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<td>20.314</td>
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<td></td>
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</tr>
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<tr>
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<td><a href="#pile-uncopyrighted"><strong>Pile (USPTO_Backgrounds)</strong></a></td>
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<td><strong>English (en)</strong></td>
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<td>5.139</td>
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<tr>
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<td colspan="7"><h4 id="category-legislative-transcripts">Category: Legislative Transcripts</h4></td></tr>
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<tr>
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<td rowspan="4" style="vertical-align: top;"><a href="#europarl-
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<td><strong>German (de)</strong></td>
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<td>0.0102</td>
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<td>0.0451</td>
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<tr>
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<td colspan="7"><h4 id="category-math">Category: Math</h4></td></tr>
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<tr>
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<td><a href="#mathpile"><strong>MathPile</strong></a></td>
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<td><strong>English (en)</strong></td>
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<td>0.737</td>
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<td>3.408</td>
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@@ -1186,7 +1177,7 @@ Token counts are computed using the tokenizer for [Lucie-7B](https://huggingface
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<td>0.818</td>
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<td>1.161</td>
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<td>4.709</td>
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<td><a href="https://huggingface.co/datasets/OpenLLM-France/Lucie-Training-Dataset/blob/main/figures/
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</tr>
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<tr>
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<td>0.210</td>
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<td>0.311</td>
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<td>1.314</td>
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<td><a href="https://huggingface.co/datasets/OpenLLM-France/Lucie-Training-Dataset/blob/main/figures/
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</tr>
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<tr>
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<td><a href="#youtube"><strong>YouTube</strong></a></td>
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<td></td>
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</tr>
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<td><a href="#stac"><strong>
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<td><strong>English (en)</strong></td>
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<td>0.0000450</td>
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<td>0.0000529</td>
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<td></td>
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</tr>
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<tr>
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<td colspan="7"><h4 id="category-multilingual-parallel">Category: Multilingual Parallel</h4></td></tr>
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<tr>
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<td><a href="#croissantaligned"><strong>CroissantAligned</strong></a></td>
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<td><strong>fr-en</strong></td>
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<td></td>
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</tr>
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<tr>
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<td rowspan="4" style="vertical-align: top;"><a href="#europarl-
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<td><strong>it-en</strong></td>
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<td>1.901</td>
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<td>0.100</td>
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<tr>
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<td colspan="7"><h4 id="category-programming">Category: Programming</h4></td></tr>
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<tr>
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<td rowspan="30" style="vertical-align: top;"><a href="#thestack"><strong>TheStack</strong></a></td>
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<td><strong>JAVASCRIPT</strong></td>
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<td>21.109</td>
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<td>8.526</td>
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## Contact
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<pre>[email protected]</pre>
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<table>
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<thead>
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<tr>
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<th><strong>Subset</strong></th>
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<th><strong>Language</strong></th>
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<th><strong>M docs</strong></th>
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<th><strong>B words</strong></th>
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<th><strong>B tokens</strong></th>
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<tr>
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<td rowspan="11" style="vertical-align: top;"><strong>TOTAL</strong></td>
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<td></td>
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<td>2186.562</td>
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<td>1356.021</td>
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<td>2314.862</td>
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<td>8842.200</td>
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<td></td>
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</tr>
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<tr>
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<td><strong>French (fr)</strong></td>
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<td>653.812</td>
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<td>583.687</td>
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<td>928.618</td>
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<td>3619.672</td>
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<td><a href="https://huggingface.co/datasets/OpenLLM-France/Lucie-Training-Dataset/blob/main/figures/fig_distribution_french_pie.png">composition details</a></td>
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</tr>
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<tr>
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659 |
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<td>412.202</td>
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<td>611.894</td>
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<td>2553.541</td>
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<td><a href="https://huggingface.co/datasets/OpenLLM-France/Lucie-Training-Dataset/blob/main/figures/fig_distribution_english_pie.png">composition details</a></td>
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</tr>
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<tr>
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<td>51.306</td>
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<td>228.954</td>
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673 |
<td>630.749</td>
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<td><a href="https://huggingface.co/datasets/OpenLLM-France/Lucie-Training-Dataset/blob/main/figures/fig_distribution_code_pie.png">composition details</a></td>
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</tr>
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<tr>
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<td>105.609</td>
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681 |
<td>206.610</td>
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682 |
<td>764.779</td>
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<td><a href="https://huggingface.co/datasets/OpenLLM-France/Lucie-Training-Dataset/blob/main/figures/fig_distribution_german_pie.png">composition details</a></td>
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</tr>
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<tr>
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686 |
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<td>123.857</td>
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<td>200.825</td>
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691 |
<td>759.457</td>
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692 |
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<td><a href="https://huggingface.co/datasets/OpenLLM-France/Lucie-Training-Dataset/blob/main/figures/fig_distribution_spanish_pie.png">composition details</a></td>
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</tr>
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<tr>
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<td>62.051</td>
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699 |
<td>112.031</td>
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700 |
<td>404.454</td>
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701 |
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<td><a href="https://huggingface.co/datasets/OpenLLM-France/Lucie-Training-Dataset/blob/main/figures/fig_distribution_italian_pie.png">composition details</a></td>
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</tr>
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703 |
<tr>
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704 |
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<td>17.016</td>
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708 |
<td>25.494</td>
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709 |
<td>107.658</td>
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710 |
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<td><a href="https://huggingface.co/datasets/OpenLLM-France/Lucie-Training-Dataset/blob/main/figures/fig_distribution_fr-en_pie.png">composition details</a></td>
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</tr>
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<tr>
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713 |
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<td>477.758</td>
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746 |
<td>741.023</td>
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747 |
<td>2974.596</td>
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748 |
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<td><a href="https://huggingface.co/datasets/OpenLLM-France/Lucie-Training-Dataset/blob/main/figures/fig_distribution_redpajama-french_histogram.png">composition details</a></td>
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</tr>
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<tr>
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751 |
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<td>103.078</td>
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755 |
<td>201.371</td>
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756 |
<td>747.631</td>
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757 |
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<td><a href="https://huggingface.co/datasets/OpenLLM-France/Lucie-Training-Dataset/blob/main/figures/fig_distribution_redpajama-german_histogram.png">composition details</a></td>
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758 |
</tr>
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759 |
<tr>
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760 |
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763 |
<td>121.751</td>
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764 |
<td>197.125</td>
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765 |
<td>746.984</td>
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766 |
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<td><a href="https://huggingface.co/datasets/OpenLLM-France/Lucie-Training-Dataset/blob/main/figures/fig_distribution_redpajama-spanish_histogram.png">composition details</a></td>
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767 |
</tr>
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768 |
<tr>
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769 |
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|
772 |
<td>60.194</td>
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773 |
<td>108.416</td>
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774 |
<td>393.012</td>
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775 |
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<td><a href="https://huggingface.co/datasets/OpenLLM-France/Lucie-Training-Dataset/blob/main/figures/fig_distribution_redpajama-italian_histogram.png">composition details</a></td>
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776 |
</tr>
|
777 |
<tr>
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<td><a href="#finewebedu"><strong>FineWebEdu</strong></a></td>
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781 |
<td>327.453</td>
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782 |
<td>467.837</td>
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783 |
<td>2018.215</td>
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784 |
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<td><a href="https://huggingface.co/datasets/OpenLLM-France/Lucie-Training-Dataset/blob/main/figures/fig_distribution_finewebedu-english_histogram.png">composition details</a></td>
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</tr>
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<tr>
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<td colspan="7"><h4 id="category-newspaper">Category: Newspaper</h4></td></tr>
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801 |
<td>8.902</td>
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802 |
<td>14.313</td>
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803 |
<td>50.844</td>
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<td><a href="https://huggingface.co/datasets/OpenLLM-France/Lucie-Training-Dataset/blob/main/figures/fig_distribution_americanstories-english_histogram.png">composition details</a></td>
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</tr>
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<tr>
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<td colspan="7"><h4 id="category-technical">Category: Technical</h4></td></tr>
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<tr>
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<td><a href="#pes2o-v2"><strong>PeS2o</strong></a></td>
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<td><strong>English (en)</strong></td>
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<td>38.972</td>
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812 |
<td>42.296</td>
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|
833 |
<td></td>
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</tr>
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<tr>
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<td><a href="#pile-uncopyrighted"><strong>Pile (USPTO_Backgrounds)</strong></a></td>
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<td><strong>English (en)</strong></td>
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838 |
<td>5.139</td>
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<tr>
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<td colspan="7"><h4 id="category-legislative-transcripts">Category: Legislative Transcripts</h4></td></tr>
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<tr>
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<td rowspan="4" style="vertical-align: top;"><a href="#europarl-and-europarlaligned"><strong>Europarl</strong></a></td>
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<td><strong>German (de)</strong></td>
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<td>0.0102</td>
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1016 |
<td>0.0451</td>
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1131 |
<tr>
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<td colspan="7"><h4 id="category-math">Category: Math</h4></td></tr>
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<tr>
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1134 |
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<td><a href="#mathpile-commercial"><strong>MathPile</strong></a></td>
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<td><strong>English (en)</strong></td>
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<td>0.737</td>
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1137 |
<td>3.408</td>
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|
1177 |
<td>0.818</td>
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1178 |
<td>1.161</td>
|
1179 |
<td>4.709</td>
|
1180 |
+
<td><a href="https://huggingface.co/datasets/OpenLLM-France/Lucie-Training-Dataset/blob/main/figures/fig_distribution_claire-english_pie.png">composition details</a></td>
|
1181 |
</tr>
|
1182 |
<tr>
|
1183 |
|
|
|
1186 |
<td>0.210</td>
|
1187 |
<td>0.311</td>
|
1188 |
<td>1.314</td>
|
1189 |
+
<td><a href="https://huggingface.co/datasets/OpenLLM-France/Lucie-Training-Dataset/blob/main/figures/fig_distribution_claire-french_pie.png">composition details</a></td>
|
1190 |
</tr>
|
1191 |
<tr>
|
1192 |
<td><a href="#youtube"><strong>YouTube</strong></a></td>
|
|
|
1198 |
<td></td>
|
1199 |
</tr>
|
1200 |
<tr>
|
1201 |
+
<td><a href="#stac"><strong>STAC</strong></a></td>
|
1202 |
<td><strong>English (en)</strong></td>
|
1203 |
<td>0.0000450</td>
|
1204 |
<td>0.0000529</td>
|
|
|
1207 |
<td></td>
|
1208 |
</tr>
|
1209 |
<tr>
|
1210 |
+
<td colspan="7"><h4 id="category-multilingual-parallel-corpora">Category: Multilingual Parallel Corpora</h4></td></tr>
|
1211 |
<tr>
|
1212 |
<td><a href="#croissantaligned"><strong>CroissantAligned</strong></a></td>
|
1213 |
<td><strong>fr-en</strong></td>
|
|
|
1218 |
<td></td>
|
1219 |
</tr>
|
1220 |
<tr>
|
1221 |
+
<td rowspan="4" style="vertical-align: top;"><a href="#europarl-and-europarlaligned"><strong>EuroparlAligned</strong></a></td>
|
1222 |
<td><strong>it-en</strong></td>
|
1223 |
<td>1.901</td>
|
1224 |
<td>0.100</td>
|
|
|
1256 |
<tr>
|
1257 |
<td colspan="7"><h4 id="category-programming">Category: Programming</h4></td></tr>
|
1258 |
<tr>
|
1259 |
+
<td rowspan="30" style="vertical-align: top;"><a href="#thestack-v12"><strong>TheStack</strong></a></td>
|
1260 |
<td><strong>JAVASCRIPT</strong></td>
|
1261 |
<td>21.109</td>
|
1262 |
<td>8.526</td>
|
|
|
1909 |
|
1910 |
## Contact
|
1911 |
|
1912 |
+
<pre>[email protected]</pre>
|