Datasets:
TheGreatRambler
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Browse files- README.md +2 -42
- example.py +0 -9
README.md
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multilinguality:
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- multilingual
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size_categories:
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source_datasets:
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- original
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task_categories:
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## Enums
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The dataset contains some enum integer fields.
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```python
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Regions = {
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```
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<!-- TODO create detailed statistics -->
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<!--
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## Dataset Statistics
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The dataset contains 115M files and the sum of all the source code file sizes is 873 GB (note that the size of the dataset is larger due to the extra fields). A breakdown per language is given in the plot and table below:
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![dataset-statistics](https://huggingface.co/datasets/codeparrot/github-code/resolve/main/github-code-stats-alpha.png)
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| | Language |File Count| Size (GB)|
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| 0 | Java | 19548190 | 107.70 |
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| 1 | C | 14143113 | 183.83 |
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| 2 | JavaScript | 11839883 | 87.82 |
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| 3 | HTML | 11178557 | 118.12 |
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| 4 | PHP | 11177610 | 61.41 |
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| 5 | Markdown | 8464626 | 23.09 |
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| 6 | C++ | 7380520 | 87.73 |
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| 7 | Python | 7226626 | 52.03 |
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| 8 | C# | 6811652 | 36.83 |
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| 9 | Ruby | 4473331 | 10.95 |
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| 10 | GO | 2265436 | 19.28 |
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| 11 | TypeScript | 1940406 | 24.59 |
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| 12 | CSS | 1734406 | 22.67 |
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| 13 | Shell | 1385648 | 3.01 |
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| 14 | Scala | 835755 | 3.87 |
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| 15 | Makefile | 679430 | 2.92 |
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| 16 | SQL | 656671 | 5.67 |
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| 17 | Lua | 578554 | 2.81 |
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| 18 | Perl | 497949 | 4.70 |
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| 19 | Dockerfile | 366505 | 0.71 |
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| 20 | Haskell | 340623 | 1.85 |
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| 21 | Rust | 322431 | 2.68 |
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| 22 | TeX | 251015 | 2.15 |
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| 23 | Batchfile | 236945 | 0.70 |
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| 24 | CMake | 175282 | 0.54 |
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| 25 | Visual Basic | 155652 | 1.91 |
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| 26 | FORTRAN | 142038 | 1.62 |
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| 27 | PowerShell | 136846 | 0.69 |
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| 28 | Assembly | 82905 | 0.78 |
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| 29 | Julia | 58317 | 0.29 |
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-->
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## Dataset Creation
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multilinguality:
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- multilingual
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size_categories:
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- 1M<n<10M
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source_datasets:
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- original
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task_categories:
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## Enums
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The dataset contains some enum integer fields. This can be used to convert back to their string equivalents:
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```python
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Regions = {
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```
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<!-- TODO create detailed statistics -->
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## Dataset Creation
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example.py
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from datasets import load_dataset
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ds = load_dataset("TheGreatRambler/mm2_user", streaming=True, split="train")
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mii_image = next(iter(ds))["mii_image"]
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print("Face: https://studio.mii.nintendo.com/miis/image.png?data=%s&type=face&width=512&instanceCount=1" % mii_image)
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print("Body: https://studio.mii.nintendo.com/miis/image.png?data=%s&type=all_body&width=512&instanceCount=1" % mii_image)
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print("Face (x16): https://studio.mii.nintendo.com/miis/image.png?data=%s&type=face&width=512&instanceCount=16" % mii_image)
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print("Body (x16): https://studio.mii.nintendo.com/miis/image.png?data=%s&type=all_body&width=512&instanceCount=16" % mii_image)
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