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--- |
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language: |
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- id |
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dataset_info: |
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features: |
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- name: id |
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dtype: string |
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- name: url |
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dtype: string |
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- name: title |
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dtype: string |
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- name: text |
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dtype: string |
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- name: word_count |
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dtype: int64 |
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splits: |
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- name: unfiltered |
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num_bytes: 361624744 |
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num_examples: 157259 |
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- name: filtered |
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num_bytes: 145352179.80208445 |
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num_examples: 63209 |
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download_size: 267272223 |
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dataset_size: 506976923.80208445 |
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configs: |
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- config_name: default |
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data_files: |
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- split: unfiltered |
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path: data/unfiltered-* |
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- split: filtered |
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path: data/filtered-* |
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--- |
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Literally the title. It is processed from [wikimedia/wikipedia](https://huggingface.co/datasets/wikimedia/wikipedia). Only entries that contain the case-insensitive string 'Indonesia' is included. Now, you can use this to train a model on information about Indonesia written in Indonesian. |
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Additional filtering was done to remove entries that are either too short or too long. |
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<!DOCTYPE html> |
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<html lang="en"> |
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<head> |
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<meta charset="UTF-8"> |
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<meta name="viewport" content="width=device-width, initial-scale=1.0"> |
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<title>Dataset Statistics</title> |
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<style> |
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table { |
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width: 100%; |
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border-collapse: collapse; |
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} |
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th, td { |
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border: 1px solid black; |
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padding: 8px; |
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text-align: left; |
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} |
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th { |
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background-color: #f2f2f2; |
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} |
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</style> |
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</head> |
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<body> |
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<table> |
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<thead> |
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<tr> |
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<th>Split</th> |
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<th>Total Word Count</th> |
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<th>Mean Word Count</th> |
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<th>Standard Deviation of Word Count</th> |
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<th>Median Word Count</th> |
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<th>Dataset Length</th> |
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<th>Min Word Count</th> |
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<th>Max Word Count</th> |
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</tr> |
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</thead> |
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<tbody> |
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<tr> |
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<td>Unfiltered</td> |
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<td>47,039,325</td> |
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<td>299.12</td> |
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<td>717.74</td> |
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<td>98</td> |
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<td>157,259</td> |
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<td>3</td> |
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<td>95,967</td> |
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</tr> |
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<tr> |
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<td>Filtered</td> |
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<td>18,104,407</td> |
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<td>286.42</td> |
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<td>160.35</td> |
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<td>239</td> |
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<td>63,209</td> |
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<td>98</td> |
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<td>717</td> |
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</tr> |
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</tbody> |
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</table> |
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</body> |
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</html> |
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