Update README.md

README.md

@@ -525,7 +525,14 @@ Examples of metadata (except from `text`) are shown for each source in [metadata
 
 ### Dataset Composition
 
-The following table provides an overview of the dataset composition, broken down by source and language.
+The following figure show the distribution of the dataset by language (hatch patterns) and document category (colors).
+
+![Dataset composition](fig_dataset_composition.png)
+
+The following table provides an overview of the dataset composition,
+broken down by source and language,
+sources being grouped by category.
+The table provides the number of documents, words, tokens, and characters for each subset.
 
 <!-- The following is automatically generated. Do not update manually. -->
 <!-- TABLE START -->
@@ -553,57 +560,57 @@ The following table provides an overview of the dataset composition, broken down
 </tr>
 <tr>
 
-<td><strong>fr</strong></td>
+<td><strong>French (fr)</strong></td>
 <td>653.812</td>
 <td>583.687</td>
 <td>928.618</td>
 <td>3619.672</td>
-<td><strong>RedPajama</strong> (477.8 B words), <strong>GallicaPress</strong> (67.5 B words), <strong>GallicaMonographies</strong> (15.1 B words), <strong>HAL</strong> (9.36 B words), <strong>Theses</strong> (7.55 B words), <strong>OpenEdition</strong> (2.23 B words), <strong>Wikipedia</strong> (1.73 B words), <strong>OpenData</strong> (0.755 B words), <strong>wikisource</strong> (0.523 B words), <strong>Gutenberg</strong> (0.227 B words), <strong>Claire</strong> (0.210 B words), <strong>DiscoursPublics</strong> (0.163 B words), <strong>YouTube</strong> (0.145 B words), <strong>QuestionsEcritesParlement</strong> (0.108 B words), <strong>InterventionsParlement</strong> (0.104 B words), <strong>LEGI</strong> (0.0878 B words), <strong>wiktionary</strong> (0.0531 B words), <strong>Europarl</strong> (0.0528 B words), <strong>AmendementsParlement</strong> (0.0452 B words)</td>
+<td><strong>RedPajama</strong> (79.8 %), <strong>GallicaPress</strong> (13.1 %), <strong>GallicaMonographies</strong> (2.71 %), <strong>HAL</strong> (1.75 %), <strong>Theses</strong> (1.51 %), <strong>OpenEdition</strong> (0.388 %), <strong>Wikipedia</strong> (0.317 %), <strong>OpenData</strong> (0.130 %), <strong>wikisource</strong> (0.0856 %), <strong>Gutenberg</strong> (0.0412 %), <strong>YouTube</strong> (0.0362 %), <strong>Claire</strong> (0.0335 %), <strong>DiscoursPublics</strong> (0.0256 %), <strong>InterventionsParlement</strong> (0.0169 %), <strong>QuestionsEcritesParlement</strong> (0.0168 %), <strong>LEGI</strong> (0.0156 %), <strong>wiktionary</strong> (0.0126 %), <strong>AmendementsParlement</strong> (0.00795 %), <strong>Europarl</strong> (0.00772 %)</td>
 </tr>
 <tr>
 
-<td><strong>en</strong></td>
+<td><strong>English (en)</strong></td>
 <td>554.289</td>
 <td>412.202</td>
 <td>611.894</td>
 <td>2553.541</td>
-<td><strong>FineWebEdu</strong> (327.5 B words), <strong>PeS2o</strong> (42.3 B words), <strong>AmericanStories</strong> (8.90 B words), <strong>Pile (FreeLaw)</strong> (8.20 B words), <strong>Wikipedia</strong> (4.71 B words), <strong>Pile (StackExchange)</strong> (4.53 B words), <strong>Gutenberg</strong> (3.54 B words), <strong>Pile (USPTO_Backgrounds)</strong> (3.49 B words), <strong>MathPile</strong> (3.41 B words), <strong>Pile (DM_Mathematics)</strong> (1.75 B words), <strong>Eurovoc</strong> (1.52 B words), <strong>Pile (Ubuntu_IRC)</strong> (0.867 B words), <strong>Claire</strong> (0.818 B words), <strong>Pile (PhilPapers)</strong> (0.363 B words), <strong>Pile (NIH_ExPorter)</strong> (0.288 B words), <strong>Europarl</strong> (0.0563 B words), <strong>Stac</strong> (0.0000529 B words)</td>
+<td><strong>FineWebEdu</strong> (76.5 %), <strong>PeS2o</strong> (10.7 %), <strong>AmericanStories</strong> (2.34 %), <strong>Pile (FreeLaw)</strong> (2.29 %), <strong>Pile (StackExchange)</strong> (1.68 %), <strong>MathPile</strong> (1.57 %), <strong>Wikipedia</strong> (1.29 %), <strong>Gutenberg</strong> (0.901 %), <strong>Pile (USPTO_Backgrounds)</strong> (0.834 %), <strong>Pile (DM_Mathematics)</strong> (0.805 %), <strong>Eurovoc</strong> (0.420 %), <strong>Pile (Ubuntu_IRC)</strong> (0.353 %), <strong>Claire</strong> (0.190 %), <strong>Pile (PhilPapers)</strong> (0.101 %), <strong>Pile (NIH_ExPorter)</strong> (0.0704 %), <strong>Europarl</strong> (0.0113 %), <strong>Stac</strong> (0.0000198 %)</td>
 </tr>
 <tr>
 
-<td><strong>code</strong></td>
+<td><strong>Programming Languages (code)</strong></td>
 <td>125.769</td>
 <td>51.306</td>
 <td>228.954</td>
 <td>630.749</td>
-<td><strong>JAVASCRIPT</strong> (8.53 B words), <strong>JAVA</strong> (7.42 B words), <strong>C</strong> (5.92 B words), <strong>PYTHON</strong> (5.43 B words), <strong>PHP</strong> (4.87 B words), <strong>C++</strong> (4.58 B words), <strong>C#</strong> (3.57 B words), <strong>GO</strong> (2.73 B words), <strong>TYPESCRIPT</strong> (2.62 B words), <strong>RUST</strong> (0.872 B words), <strong>RUBY</strong> (0.646 B words), <strong>SWIFT</strong> (0.553 B words), <strong>SCALA</strong> (0.457 B words), <strong>KOTLIN</strong> (0.454 B words), <strong>TEX</strong> (0.394 B words), <strong>LUA</strong> (0.318 B words), <strong>DART</strong> (0.308 B words), <strong>HASKELL</strong> (0.307 B words), <strong>PERL</strong> (0.297 B words), <strong>ASSEMBLY</strong> (0.209 B words), <strong>FORTRAN</strong> (0.192 B words), <strong>JULIA</strong> (0.152 B words), <strong>OCAML</strong> (0.130 B words), <strong>MATHEMATICA</strong> (0.120 B words), <strong>ELIXIR</strong> (0.0731 B words), <strong>ERLANG</strong> (0.0657 B words), <strong>CLOJURE</strong> (0.0448 B words), <strong>R</strong> (0.0278 B words), <strong>MATLAB</strong> (0.00865 B words), <strong>RACKET</strong> (0.00479 B words)</td>
+<td><strong>JAVASCRIPT</strong> (25.6 %), <strong>JAVA</strong> (12.1 %), <strong>C</strong> (10.5 %), <strong>PHP</strong> (10.0 %), <strong>PYTHON</strong> (9.47 %), <strong>C++</strong> (8.23 %), <strong>C#</strong> (5.84 %), <strong>GO</strong> (4.48 %), <strong>TYPESCRIPT</strong> (4.30 %), <strong>RUST</strong> (1.42 %), <strong>RUBY</strong> (1.04 %), <strong>SWIFT</strong> (0.819 %), <strong>KOTLIN</strong> (0.768 %), <strong>SCALA</strong> (0.693 %), <strong>TEX</strong> (0.658 %), <strong>LUA</strong> (0.597 %), <strong>DART</strong> (0.542 %), <strong>PERL</strong> (0.502 %), <strong>MATHEMATICA</strong> (0.488 %), <strong>ASSEMBLY</strong> (0.379 %), <strong>HASKELL</strong> (0.352 %), <strong>FORTRAN</strong> (0.341 %), <strong>JULIA</strong> (0.288 %), <strong>OCAML</strong> (0.188 %), <strong>ERLANG</strong> (0.114 %), <strong>ELIXIR</strong> (0.113 %), <strong>CLOJURE</strong> (0.0782 %), <strong>R</strong> (0.0690 %), <strong>MATLAB</strong> (0.0187 %), <strong>RACKET</strong> (0.00668 %)</td>
 </tr>
 <tr>
 
-<td><strong>de</strong></td>
+<td><strong>German (de)</strong></td>
 <td>165.915</td>
 <td>105.609</td>
 <td>206.610</td>
 <td>764.779</td>
-<td><strong>RedPajama</strong> (103.1 B words), <strong>Wikipedia</strong> (1.71 B words), <strong>Eurovoc</strong> (0.678 B words), <strong>Gutenberg</strong> (0.0987 B words), <strong>Europarl</strong> (0.0451 B words)</td>
+<td><strong>RedPajama</strong> (97.5 %), <strong>Wikipedia</strong> (1.68 %), <strong>Eurovoc</strong> (0.725 %), <strong>Gutenberg</strong> (0.0934 %), <strong>Europarl</strong> (0.0355 %)</td>
 </tr>
 <tr>
 
-<td><strong>es</strong></td>
+<td><strong>Spanish (es)</strong></td>
 <td>171.651</td>
 <td>123.857</td>
 <td>200.825</td>
 <td>759.457</td>
-<td><strong>RedPajama</strong> (121.8 B words), <strong>Wikipedia</strong> (1.25 B words), <strong>Eurovoc</strong> (0.757 B words), <strong>Europarl</strong> (0.0524 B words), <strong>Gutenberg</strong> (0.0512 B words)</td>
+<td><strong>RedPajama</strong> (98.2 %), <strong>Wikipedia</strong> (1.06 %), <strong>Eurovoc</strong> (0.703 %), <strong>Gutenberg</strong> (0.0458 %), <strong>Europarl</strong> (0.0365 %)</td>
 </tr>
 <tr>
 
-<td><strong>it</strong></td>
+<td><strong>Italian (it)</strong></td>
 <td>99.440</td>
 <td>62.051</td>
 <td>112.031</td>
 <td>404.454</td>
-<td><strong>RedPajama</strong> (60.2 B words), <strong>Wikipedia</strong> (1.06 B words), <strong>Eurovoc</strong> (0.731 B words), <strong>Gutenberg</strong> (0.0657 B words)</td>
+<td><strong>RedPajama</strong> (96.8 %), <strong>Wikipedia</strong> (1.75 %), <strong>Eurovoc</strong> (1.36 %), <strong>Gutenberg</strong> (0.115 %)</td>
 </tr>
 <tr>
 
@@ -612,7 +619,7 @@ The following table provides an overview of the dataset composition, broken down
 <td>17.016</td>
 <td>25.494</td>
 <td>107.658</td>
-<td><strong>CroissantAligned</strong> (16.9 B words), <strong>EuroparlAligned</strong> (0.105 B words)</td>
+<td><strong>CroissantAligned</strong> (99.4 %), <strong>EuroparlAligned</strong> (0.561 %)</td>
 </tr>
 <tr>
 
@@ -645,54 +652,54 @@ The following table provides an overview of the dataset composition, broken down
 <td colspan="7"><h4 id="category-web">Category: Web</h4></td></tr>
 <tr>
 <td rowspan="4" style="vertical-align: top;"><a href="#redpajama-v2"><strong>RedPajama</strong></a></td>
-<td><strong>fr</strong></td>
+<td><strong>French (fr)</strong></td>
 <td>640.770</td>
 <td>477.758</td>
 <td>741.023</td>
 <td>2974.596</td>
-<td><strong>2023</strong> (27.2 B words), <strong>2022</strong> (64.9 B words), <strong>2021</strong> (82.4 B words), <strong>2020</strong> (75.1 B words), <strong>2019</strong> (86.9 B words), <strong>2018</strong> (81.3 B words), <strong>2017</strong> (55.7 B words), <strong>2016</strong> (2.03 B words), <strong>2015</strong> (0.776 B words), <strong>2014</strong> (1.32 B words)</td>
+<td><strong>2023</strong> (5.63 %), <strong>2022</strong> (13.4 %), <strong>2021</strong> (17.2 %), <strong>2020</strong> (15.8 %), <strong>2019</strong> (18.2 %), <strong>2018</strong> (17.1 %), <strong>2017</strong> (11.7 %), <strong>2016</strong> (0.437 %), <strong>2015</strong> (0.167 %), <strong>2014</strong> (0.284 %)</td>
 </tr>
 <tr>
 
-<td><strong>de</strong></td>
+<td><strong>German (de)</strong></td>
 <td>162.779</td>
 <td>103.078</td>
 <td>201.371</td>
 <td>747.631</td>
-<td><strong>2023</strong> (24.7 B words), <strong>2022</strong> (60.8 B words), <strong>2021</strong> (17.6 B words)</td>
+<td><strong>2023</strong> (23.9 %), <strong>2022</strong> (59.0 %), <strong>2021</strong> (17.1 %)</td>
 </tr>
 <tr>
 
-<td><strong>es</strong></td>
+<td><strong>Spanish (es)</strong></td>
 <td>169.447</td>
 <td>121.751</td>
 <td>197.125</td>
 <td>746.984</td>
-<td><strong>2023</strong> (28.9 B words), <strong>2022</strong> (72.1 B words), <strong>2021</strong> (20.8 B words)</td>
+<td><strong>2023</strong> (23.7 %), <strong>2022</strong> (59.2 %), <strong>2021</strong> (17.1 %)</td>
 </tr>
 <tr>
 
-<td><strong>it</strong></td>
+<td><strong>Italian (it)</strong></td>
 <td>97.324</td>
 <td>60.194</td>
 <td>108.416</td>
 <td>393.012</td>
-<td><strong>2023</strong> (14.4 B words), <strong>2022</strong> (35.5 B words), <strong>2021</strong> (10.3 B words)</td>
+<td><strong>2023</strong> (23.9 %), <strong>2022</strong> (59.0 %), <strong>2021</strong> (17.1 %)</td>
 </tr>
 <tr>
 <td><a href="#finewebedu"><strong>FineWebEdu</strong></a></td>
-<td><strong>en</strong></td>
+<td><strong>English (en)</strong></td>
 <td>421.209</td>
 <td>327.453</td>
 <td>467.837</td>
 <td>2018.215</td>
-<td><strong>2024</strong> (9.20 B words), <strong>2023</strong> (62.1 B words), <strong>2022</strong> (58.8 B words), <strong>2021</strong> (73.0 B words), <strong>2020</strong> (59.1 B words), <strong>2019</strong> (65.3 B words)</td>
+<td><strong>2024</strong> (2.73 %), <strong>2023</strong> (18.9 %), <strong>2022</strong> (18.0 %), <strong>2021</strong> (22.3 %), <strong>2020</strong> (18.1 %), <strong>2019</strong> (20.0 %)</td>
 </tr>
 <tr>
 <td colspan="7"><h4 id="category-newspaper">Category: Newspaper</h4></td></tr>
 <tr>
 <td><a href="#gallicapress"><strong>GallicaPress</strong></a></td>
-<td><strong>fr</strong></td>
+<td><strong>French (fr)</strong></td>
 <td>3.205</td>
 <td>67.496</td>
 <td>121.606</td>
@@ -701,7 +708,7 @@ The following table provides an overview of the dataset composition, broken down
 </tr>
 <tr>
 <td><a href="#americanstories"><strong>AmericanStories</strong></a></td>
-<td><strong>en</strong></td>
+<td><strong>English (en)</strong></td>
 <td>59.420</td>
 <td>8.902</td>
 <td>14.313</td>
@@ -712,7 +719,7 @@ The following table provides an overview of the dataset composition, broken down
 <td colspan="7"><h4 id="category-technical">Category: Technical</h4></td></tr>
 <tr>
 <td><a href="#pes2o"><strong>PeS2o</strong></a></td>
-<td><strong>en</strong></td>
+<td><strong>English (en)</strong></td>
 <td>38.972</td>
 <td>42.296</td>
 <td>65.365</td>
@@ -721,7 +728,7 @@ The following table provides an overview of the dataset composition, broken down
 </tr>
 <tr>
 <td><a href="#hal"><strong>HAL</strong></a></td>
-<td><strong>fr</strong></td>
+<td><strong>French (fr)</strong></td>
 <td>0.349</td>
 <td>9.356</td>
 <td>16.224</td>
@@ -730,7 +737,7 @@ The following table provides an overview of the dataset composition, broken down
 </tr>
 <tr>
 <td><a href="#theses"><strong>Theses</strong></a></td>
-<td><strong>fr</strong></td>
+<td><strong>French (fr)</strong></td>
 <td>0.102</td>
 <td>7.547</td>
 <td>14.060</td>
@@ -739,7 +746,7 @@ The following table provides an overview of the dataset composition, broken down
 </tr>
 <tr>
 <td><a href="#pile-uncopyrighted"><strong>Pile (USPTO_Backgrounds)</strong></a></td>
-<td><strong>en</strong></td>
+<td><strong>English (en)</strong></td>
 <td>5.139</td>
 <td>3.492</td>
 <td>5.105</td>
@@ -748,7 +755,7 @@ The following table provides an overview of the dataset composition, broken down
 </tr>
 <tr>
 <td><a href="#openedition"><strong>OpenEdition</strong></a></td>
-<td><strong>fr</strong></td>
+<td><strong>French (fr)</strong></td>
 <td>0.939</td>
 <td>2.225</td>
 <td>3.604</td>
@@ -757,7 +764,7 @@ The following table provides an overview of the dataset composition, broken down
 </tr>
 <tr>
 <td><a href="#pile-uncopyrighted"><strong>Pile (PhilPapers)</strong></a></td>
-<td><strong>en</strong></td>
+<td><strong>English (en)</strong></td>
 <td>0.0308</td>
 <td>0.363</td>
 <td>0.618</td>
@@ -766,7 +773,7 @@ The following table provides an overview of the dataset composition, broken down
 </tr>
 <tr>
 <td><a href="#pile-uncopyrighted"><strong>Pile (NIH_ExPorter)</strong></a></td>
-<td><strong>en</strong></td>
+<td><strong>English (en)</strong></td>
 <td>0.914</td>
 <td>0.288</td>
 <td>0.431</td>
@@ -777,7 +784,7 @@ The following table provides an overview of the dataset composition, broken down
 <td colspan="7"><h4 id="category-book">Category: Book</h4></td></tr>
 <tr>
 <td><a href="#gallicamonographies"><strong>GallicaMonographies</strong></a></td>
-<td><strong>fr</strong></td>
+<td><strong>French (fr)</strong></td>
 <td>0.278</td>
 <td>15.106</td>
 <td>25.169</td>
@@ -786,7 +793,7 @@ The following table provides an overview of the dataset composition, broken down
 </tr>
 <tr>
 <td rowspan="5" style="vertical-align: top;"><a href="#gutenberg"><strong>Gutenberg</strong></a></td>
-<td><strong>en</strong></td>
+<td><strong>English (en)</strong></td>
 <td>0.0563</td>
 <td>3.544</td>
 <td>5.516</td>
@@ -795,7 +802,7 @@ The following table provides an overview of the dataset composition, broken down
 </tr>
 <tr>
 
-<td><strong>fr</strong></td>
+<td><strong>French (fr)</strong></td>
 <td>0.00345</td>
 <td>0.227</td>
 <td>0.383</td>
@@ -804,7 +811,7 @@ The following table provides an overview of the dataset composition, broken down
 </tr>
 <tr>
 
-<td><strong>de</strong></td>
+<td><strong>German (de)</strong></td>
 <td>0.00188</td>
 <td>0.0987</td>
 <td>0.193</td>
@@ -813,7 +820,7 @@ The following table provides an overview of the dataset composition, broken down
 </tr>
 <tr>
 
-<td><strong>it</strong></td>
+<td><strong>Italian (it)</strong></td>
 <td>0.000958</td>
 <td>0.0657</td>
 <td>0.129</td>
@@ -822,7 +829,7 @@ The following table provides an overview of the dataset composition, broken down
 </tr>
 <tr>
 
-<td><strong>es</strong></td>
+<td><strong>Spanish (es)</strong></td>
 <td>0.000735</td>
 <td>0.0512</td>
 <td>0.0920</td>
@@ -880,7 +887,7 @@ The following table provides an overview of the dataset composition, broken down
 <td colspan="7"><h4 id="category-legislative-texts">Category: Legislative Texts</h4></td></tr>
 <tr>
 <td><a href="#pile-uncopyrighted"><strong>Pile (FreeLaw)</strong></a></td>
-<td><strong>en</strong></td>
+<td><strong>English (en)</strong></td>
 <td>3.415</td>
 <td>8.204</td>
 <td>14.011</td>
@@ -889,7 +896,7 @@ The following table provides an overview of the dataset composition, broken down
 </tr>
 <tr>
 <td rowspan="4" style="vertical-align: top;"><a href="#eurovoc"><strong>Eurovoc</strong></a></td>
-<td><strong>en</strong></td>
+<td><strong>English (en)</strong></td>
 <td>0.272</td>
 <td>1.523</td>
 <td>2.571</td>
@@ -898,7 +905,7 @@ The following table provides an overview of the dataset composition, broken down
 </tr>
 <tr>
 
-<td><strong>it</strong></td>
+<td><strong>Italian (it)</strong></td>
 <td>0.245</td>
 <td>0.731</td>
 <td>1.527</td>
@@ -907,7 +914,7 @@ The following table provides an overview of the dataset composition, broken down
 </tr>
 <tr>
 
-<td><strong>de</strong></td>
+<td><strong>German (de)</strong></td>
 <td>0.247</td>
 <td>0.678</td>
 <td>1.497</td>
@@ -916,7 +923,7 @@ The following table provides an overview of the dataset composition, broken down
 </tr>
 <tr>
 
-<td><strong>es</strong></td>
+<td><strong>Spanish (es)</strong></td>
 <td>0.246</td>
 <td>0.757</td>
 <td>1.411</td>
@@ -925,7 +932,7 @@ The following table provides an overview of the dataset composition, broken down
 </tr>
 <tr>
 <td><a href="#opendata"><strong>OpenData</strong></a></td>
-<td><strong>fr</strong></td>
+<td><strong>French (fr)</strong></td>
 <td>1.169</td>
 <td>0.755</td>
 <td>1.209</td>
@@ -934,7 +941,7 @@ The following table provides an overview of the dataset composition, broken down
 </tr>
 <tr>
 <td><a href="#questionsecritesparlement"><strong>QuestionsEcritesParlement</strong></a></td>
-<td><strong>fr</strong></td>
+<td><strong>French (fr)</strong></td>
 <td>0.189</td>
 <td>0.108</td>
 <td>0.156</td>
@@ -943,7 +950,7 @@ The following table provides an overview of the dataset composition, broken down
 </tr>
 <tr>
 <td><a href="#legi"><strong>LEGI</strong></a></td>
-<td><strong>fr</strong></td>
+<td><strong>French (fr)</strong></td>
 <td>0.621</td>
 <td>0.0878</td>
 <td>0.145</td>
@@ -952,7 +959,7 @@ The following table provides an overview of the dataset composition, broken down
 </tr>
 <tr>
 <td><a href="#amendementsparlement"><strong>AmendementsParlement</strong></a></td>
-<td><strong>fr</strong></td>
+<td><strong>French (fr)</strong></td>
 <td>0.673</td>
 <td>0.0452</td>
 <td>0.0738</td>
@@ -963,7 +970,7 @@ The following table provides an overview of the dataset composition, broken down
 <td colspan="7"><h4 id="category-legislative-transcripts">Category: Legislative Transcripts</h4></td></tr>
 <tr>
 <td rowspan="4" style="vertical-align: top;"><a href="#europarl-monolingual-and-parallel"><strong>Europarl</strong></a></td>
-<td><strong>de</strong></td>
+<td><strong>German (de)</strong></td>
 <td>0.0102</td>
 <td>0.0451</td>
 <td>0.0734</td>
@@ -972,7 +979,7 @@ The following table provides an overview of the dataset composition, broken down
 </tr>
 <tr>
 
-<td><strong>es</strong></td>
+<td><strong>Spanish (es)</strong></td>
 <td>0.0103</td>
 <td>0.0524</td>
 <td>0.0733</td>
@@ -981,7 +988,7 @@ The following table provides an overview of the dataset composition, broken down
 </tr>
 <tr>
 
-<td><strong>fr</strong></td>
+<td><strong>French (fr)</strong></td>
 <td>0.0103</td>
 <td>0.0528</td>
 <td>0.0717</td>
@@ -990,7 +997,7 @@ The following table provides an overview of the dataset composition, broken down
 </tr>
 <tr>
 
-<td><strong>en</strong></td>
+<td><strong>English (en)</strong></td>
 <td>0.0111</td>
 <td>0.0563</td>
 <td>0.0690</td>
@@ -999,7 +1006,7 @@ The following table provides an overview of the dataset composition, broken down
 </tr>
 <tr>
 <td><a href="#discourspublics"><strong>DiscoursPublics</strong></a></td>
-<td><strong>fr</strong></td>
+<td><strong>French (fr)</strong></td>
 <td>0.110</td>
 <td>0.163</td>
 <td>0.238</td>
@@ -1008,7 +1015,7 @@ The following table provides an overview of the dataset composition, broken down
 </tr>
 <tr>
 <td><a href="#interventionsparlement"><strong>InterventionsParlement</strong></a></td>
-<td><strong>fr</strong></td>
+<td><strong>French (fr)</strong></td>
 <td>1.832</td>
 <td>0.104</td>
 <td>0.157</td>
@@ -1019,7 +1026,7 @@ The following table provides an overview of the dataset composition, broken down
 <td colspan="7"><h4 id="category-wiki">Category: Wiki</h4></td></tr>
 <tr>
 <td rowspan="5" style="vertical-align: top;"><a href="#wikipedia-wikisource-wiktionary"><strong>Wikipedia</strong></a></td>
-<td><strong>en</strong></td>
+<td><strong>English (en)</strong></td>
 <td>6.893</td>
 <td>4.708</td>
 <td>7.898</td>
@@ -1028,7 +1035,7 @@ The following table provides an overview of the dataset composition, broken down
 </tr>
 <tr>
 
-<td><strong>de</strong></td>
+<td><strong>German (de)</strong></td>
 <td>2.877</td>
 <td>1.709</td>
 <td>3.476</td>
@@ -1037,7 +1044,7 @@ The following table provides an overview of the dataset composition, broken down
 </tr>
 <tr>
 
-<td><strong>fr</strong></td>
+<td><strong>French (fr)</strong></td>
 <td>2.648</td>
 <td>1.726</td>
 <td>2.940</td>
@@ -1046,7 +1053,7 @@ The following table provides an overview of the dataset composition, broken down
 </tr>
 <tr>
 
-<td><strong>es</strong></td>
+<td><strong>Spanish (es)</strong></td>
 <td>1.947</td>
 <td>1.245</td>
 <td>2.124</td>
@@ -1055,7 +1062,7 @@ The following table provides an overview of the dataset composition, broken down
 </tr>
 <tr>
 
-<td><strong>it</strong></td>
+<td><strong>Italian (it)</strong></td>
 <td>1.870</td>
 <td>1.060</td>
 <td>1.959</td>
@@ -1064,7 +1071,7 @@ The following table provides an overview of the dataset composition, broken down
 </tr>
 <tr>
 <td><a href="#wikipedia-wikisource-wiktionary"><strong>wikisource</strong></a></td>
-<td><strong>fr</strong></td>
+<td><strong>French (fr)</strong></td>
 <td>0.186</td>
 <td>0.523</td>
 <td>0.795</td>
@@ -1073,7 +1080,7 @@ The following table provides an overview of the dataset composition, broken down
 </tr>
 <tr>
 <td><a href="#wikipedia-wikisource-wiktionary"><strong>wiktionary</strong></a></td>
-<td><strong>fr</strong></td>
+<td><strong>French (fr)</strong></td>
 <td>0.650</td>
 <td>0.0531</td>
 <td>0.117</td>
@@ -1084,7 +1091,7 @@ The following table provides an overview of the dataset composition, broken down
 <td colspan="7"><h4 id="category-math">Category: Math</h4></td></tr>
 <tr>
 <td><a href="#mathpile"><strong>MathPile</strong></a></td>
-<td><strong>en</strong></td>
+<td><strong>English (en)</strong></td>
 <td>0.737</td>
 <td>3.408</td>
 <td>9.637</td>
@@ -1093,7 +1100,7 @@ The following table provides an overview of the dataset composition, broken down
 </tr>
 <tr>
 <td><a href="#pile-uncopyrighted"><strong>Pile (DM_Mathematics)</strong></a></td>
-<td><strong>en</strong></td>
+<td><strong>English (en)</strong></td>
 <td>0.992</td>
 <td>1.746</td>
 <td>4.928</td>
@@ -1104,7 +1111,7 @@ The following table provides an overview of the dataset composition, broken down
 <td colspan="7"><h4 id="category-forum">Category: Forum</h4></td></tr>
 <tr>
 <td><a href="#pile-uncopyrighted"><strong>Pile (StackExchange)</strong></a></td>
-<td><strong>en</strong></td>
+<td><strong>English (en)</strong></td>
 <td>15.269</td>
 <td>4.534</td>
 <td>10.275</td>
@@ -1113,7 +1120,7 @@ The following table provides an overview of the dataset composition, broken down
 </tr>
 <tr>
 <td><a href="#pile-uncopyrighted"><strong>Pile (Ubuntu_IRC)</strong></a></td>
-<td><strong>en</strong></td>
+<td><strong>English (en)</strong></td>
 <td>0.0104</td>
 <td>0.867</td>
 <td>2.159</td>
@@ -1124,25 +1131,25 @@ The following table provides an overview of the dataset composition, broken down
 <td colspan="7"><h4 id="category-dialogue">Category: Dialogue</h4></td></tr>
 <tr>
 <td rowspan="2" style="vertical-align: top;"><a href="#claire-french-and-english"><strong>Claire</strong></a></td>
-<td><strong>en</strong></td>
+<td><strong>English (en)</strong></td>
 <td>0.949</td>
 <td>0.818</td>
 <td>1.161</td>
 <td>4.709</td>
-<td><strong>MediaSum</strong> (0.738 B words), <strong>DialogStudio</strong> (0.0611 B words), <strong>BNC</strong> (0.0107 B words), <strong>OANC</strong> (0.00483 B words), <strong>DailyDialog</strong> (0.00127 B words), <strong>ICSI</strong> (0.000888 B words), <strong>AMI</strong> (0.000798 B words)</td>
+<td><strong>MediaSum</strong> (87.2 %), <strong>DialogStudio</strong> (10.2 %), <strong>BNC</strong> (1.46 %), <strong>OANC</strong> (0.690 %), <strong>DailyDialog</strong> (0.199 %), <strong>ICSI</strong> (0.156 %), <strong>AMI</strong> (0.144 %)</td>
 </tr>
 <tr>
 
-<td><strong>fr</strong></td>
+<td><strong>French (fr)</strong></td>
 <td>0.0393</td>
 <td>0.210</td>
 <td>0.311</td>
 <td>1.314</td>
-<td><strong>AssembleeNationale</strong> (0.130 B words), <strong>Senat</strong> (0.0515 B words), <strong>Theatre</strong> (0.0168 B words), <strong>ESLO</strong> (0.00510 B words), <strong>ORFEO</strong> (0.00147 B words), <strong>SUMM</strong> (0.00127 B words), <strong>TCOF</strong> (0.000784 B words), <strong>CFPP</strong> (0.000646 B words), <strong>OFROM</strong> (0.000593 B words), <strong>PFC</strong> (0.000506 B words), <strong>FREDSum</strong> (0.000392 B words), <strong>CLAPI</strong> (0.000144 B words), <strong>CID</strong> (0.000120 B words), <strong>LINAGORA</strong> (0.000106 B words), <strong>ACSYNT</strong> (0.0000612 B words), <strong>OTG</strong> (0.0000301 B words), <strong>Rhapsodie</strong> (0.0000274 B words), <strong>ParisStories</strong> (0.0000271 B words), <strong>UBS</strong> (0.00000787 B words)</td>
+<td><strong>AssembleeNationale</strong> (60.1 %), <strong>Senat</strong> (24.5 %), <strong>Theatre</strong> (9.33 %), <strong>ESLO</strong> (2.84 %), <strong>ORFEO</strong> (0.704 %), <strong>SUMM</strong> (0.601 %), <strong>TCOF</strong> (0.421 %), <strong>CFPP</strong> (0.367 %), <strong>OFROM</strong> (0.320 %), <strong>PFC</strong> (0.296 %), <strong>FREDSum</strong> (0.186 %), <strong>CLAPI</strong> (0.0974 %), <strong>CID</strong> (0.0756 %), <strong>LINAGORA</strong> (0.0605 %), <strong>ACSYNT</strong> (0.0309 %), <strong>OTG</strong> (0.0200 %), <strong>Rhapsodie</strong> (0.0152 %), <strong>ParisStories</strong> (0.0134 %), <strong>UBS</strong> (0.00524 %)</td>
 </tr>
 <tr>
 <td><a href="#youtube"><strong>YouTube</strong></a></td>
-<td><strong>fr</strong></td>
+<td><strong>French (fr)</strong></td>
 <td>0.0375</td>
 <td>0.145</td>
 <td>0.336</td>
@@ -1151,7 +1158,7 @@ The following table provides an overview of the dataset composition, broken down
 </tr>
 <tr>
 <td><a href="#stac"><strong>Stac</strong></a></td>
-<td><strong>en</strong></td>
+<td><strong>English (en)</strong></td>
 <td>0.0000450</td>
 <td>0.0000529</td>
 <td>0.000121</td>