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---
license: odc-by
dataset_info:
features:
- name: blob_id
dtype: string
- name: repo_name
dtype: string
- name: path
dtype: string
- name: length_bytes
dtype: int64
- name: score
dtype: float64
- name: int_score
dtype: int64
- name: text
dtype: string
splits:
- name: train
num_bytes: 13498307033
num_examples: 7678447
download_size: 6084961921
dataset_size: 13498307033
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
language:
- en
size_categories:
- 1M<n<10M
---
**This version is deprecated! Please use the cleaned version: [Avelina/python-edu-cleaned](https://huggingface.co/datasets/Avelina/python-edu-cleaned)**
# SmolLM-Corpus: Python-Edu
This dataset contains the `python-edu` subset of [SmolLM-Corpus](https://huggingface.co/datasets/HuggingFaceTB/smollm-corpus) with the contents of the files stored in a new `text` field. All files were downloaded from the S3 bucket on January the 8th 2025, using the blob IDs from the original dataset with revision `3ba9d605774198c5868892d7a8deda78031a781f`. Only 1 file was marked as not found and the corresponding row removed from the dataset (`content/39c3e5b85cc678d1d54b4d93a55271c51d54126c` which I suspect is caused by a mallformed blob ID).
Please refer to the original [README](https://huggingface.co/datasets/HuggingFaceTB/smollm-corpus/blob/main/README.md#python-edu) for all other information.
## Dataset Features
* `blob_id (string)`: Software Heritage (SWH) ID of the file on AWS S3.
* `repo_name (string)`: Repository name on GitHub.
* `path (string)`: The file path within the repository.
* `length_bytes (int64)`: Length of the file content in UTF-8 bytes.
* `score (float32)`: The output of the educational scoring model.
* `int_score (uint8)`: The rounded educational score.
* `text (string)`: The downloaded python file text.
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