File size: 2,097 Bytes
3fedf55 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 |
---
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: 13496584244.40846
num_examples: 7677467
download_size: 6045401237
dataset_size: 13496584244.40846
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
# SmolLM-Corpus: Python-Edu (Cleaned)
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), and 980 files were removed (see the next section for more details).
Please refer to the original [README](https://huggingface.co/datasets/HuggingFaceTB/smollm-corpus/blob/main/README.md#python-edu) for all other information.
## Cleaning
980 files were removed from the dataset due to being low quality. The primary culprits were hardcoded python calculators, massive hardcoded unit tests, files containing lists words, and TSV/CSV data stored as python files. There was also one file that contained an entire Harry Potter book.
## 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.
|