Datasets:
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README.md
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# Dataset Card for "stack-smol-xxl"
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```python
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from datasets import load_dataset, Dataset
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languages = ["css", "prolog", "c", "fortran", "solidity", "kotlin", "literate-agda", "julia", "java-server-pages",
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# Dataset Card for "stack-smol-xxl"
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## Dataset Structure
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### Data Instances
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Each data instance corresponds to one file. The content of the file is in the `content` feature, and other features (`repository_name`, `licenses`, etc.) provide some metadata. Note that a given file can appear in several different repositories that satisfy our safe-license criterion. If that is the case, only the first – in alphabetical order -- of these repositories is shown for simplicity.
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### Data Fields
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- `content` (string): the content of the file.
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- `size` (integer): size of the uncompressed file.
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- `lang` (string): the programming language.
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- `ext` (string): file extension
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- `avg_line_length` (float): the average line-length of the file.
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- `max_line_length` (integer): the maximum line-length of the file.
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- `alphanum_fraction` (float): the fraction of characters in the file that are alphabetical or numerical characters.
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- `hexsha` (string): unique git hash of file
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- `max_{stars|forks|issues}_repo_path` (string): path to file in repo containing this file with maximum number of `{stars|forks|issues}`
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- `max_{stars|forks|issues}_repo_name` (string): name of repo containing this file with maximum number of `{stars|forks|issues}`
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- `max_{stars|forks|issues}_repo_head_hexsha` (string): hexsha of repository head
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- `max_{stars|forks|issues}_repo_licenses` (string): licenses in repository
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- `max_{stars|forks|issues}_count` (integer): number of `{stars|forks|issues}` in repository
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- `max_{stars|forks|issues}_repo_{stars|forks|issues}_min_datetime` (string): first timestamp of a `{stars|forks|issues}` event
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- `max_{stars|forks|issues}_repo_{stars|forks|issues}_max_datetime` (string): last timestamp of a `{stars|forks|issues}` event
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num_examples: 11658586
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download_size: 28807934580
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dataset_size: 78577965159
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```python
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from datasets import load_dataset, Dataset
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languages = ["css", "prolog", "c", "fortran", "solidity", "kotlin", "literate-agda", "julia", "java-server-pages",
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