Upload README.md

README.md

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+---
+license: other
+language:
+  - en
+pretty_name: Pytorch Code 50K
+size_categories:
+  - 10K<n<100K
+tags:
+  - code
+  - python
+  - pytorch
+  - deep-learning
+  - beta
+task_categories:
+  - text-generation
+---
+
+# ⚠️ Pytorch-Code-50K — BETA
+
+> **Status: BETA.** This is an early, unpolished release. The data is real but
+> **unaudited**: it has not been manually reviewed, re-verified against upstream,
+> or checked for toxic/low-quality content beyond the filters listed below. The
+> sample may change between releases. **Use at your own risk and do not treat it
+> as a benchmark.**
+
+## Overview
+
+**Pytorch-Code-50K** is a collection of **~50,000 Python source files that use the
+PyTorch ecosystem**, extracted from BigCode's
+[**The Stack**](https://huggingface.co/datasets/bigcode/the-stack)
+(Python subset).
+
+It is intended as a lightweight, easy-to-consume corpus for:
+
+- fine-tuning and pre-training small code models on PyTorch idioms,
+- studying how PyTorch APIs are actually used in the wild,
+- retrieval / RAG over real PyTorch examples,
+- quick prototyping where a full 3 TB dataset is overkill.
+
+## Source
+
+| | |
+|---|---|
+| **Upstream** | [bigcode/the-stack](https://huggingface.co/datasets/bigcode/the-stack) (`data/python`) |
+| **Curated by** | Monster-Code |
+| **Language** | Python |
+| **Domain** | PyTorch / deep learning code |
+| **Size** | ~50,000 files |
+| **Format** | Parquet (one row per file) |
+| **Release** | BETA v0.1 |
+
+> The Stack is a collection of source code from repositories with various
+> licenses. Any use of all or part of the code in this dataset must abide by the
+> terms of the original licenses, including attribution clauses when relevant.
+> Provenance (`repo`, `path`, `license`, `sha`) is preserved so you can
+> attribute and filter correctly.
+
+## Selection criteria
+
+A file is included when **all** of the following hold:
+
+1. It comes from the Python subset of The Stack.
+2. Its source contains a top-level import from the PyTorch ecosystem, matched
+   with this regex:
+
+   ```python
+   ^[ \t]*(?:import|from)[ \t]+(
+       torch(vision|audio|text|arrow|metrics|_geometric|_scatter|_sparse|
+             _cluster|_spline_conv|_xla|_cpp|_jit|_onnx|_fx)?
+     | pytorch_lightning
+     | lightning(\.pytorch)?
+     | skorch
+   )\b
+   ```
+
+3. Its length is between **200 and 200,000 characters**.
+4. Its content hash is unique within the sample (exact duplicates removed).
+
+### Sampling
+
+The Stack stores files grouped by repository, so a naive "first 50K" pass would
+be dominated by whichever repositories sort first. Instead, `update.py`
+**reservoir-samples** over a randomly shuffled subset of the source shards, so
+the sample is approximately uniform over the scanned shards rather than biased
+toward any one repository. Pass `--seed` to reproduce or vary the sample.
+
+## Dataset schema
+
+| Column | Type | Description |
+|---|---|---|
+| `content` | `string` | The full source code of the file. |
+| `repo` | `string` | Repository identifier (`owner/name`) when available. |
+| `path` | `string` | File path within the repository, when available. |
+| `license` | `string` | Detected license(s), comma-separated if multiple. |
+| `size` | `int64` | File size in bytes. |
+| `sha` | `string` | Content hash from the source dataset. |
+| `lang` | `string` | Language tag (always `python` here). |
+| `ext` | `string` | File extension (`.py`). |
+
+> Source column names vary between The Stack releases; `update.py` maps them
+> defensively. Columns that are missing upstream are emitted as empty strings.
+
+## Usage
+
+```python
+from datasets import load_dataset
+
+ds = load_dataset("Monster-Code/Pytorch-Code-50K", split="train")
+print(ds)
+# Dataset({
+#     features: ['content', 'repo', 'path', 'license', 'size', 'sha', 'lang', 'ext'],
+#     num_rows: 50000
+# })
+
+# Only permissively licensed files
+ds = ds.filter(lambda x: "mit" in x["license"].lower())
+
+# A single training example
+print(ds[0]["content"][:500])
+```
+
+Stream it instead of downloading everything:
+
+```python
+ds = load_dataset("Monster-Code/Pytorch-Code-50K", split="train", streaming=True)
+for row in ds:
+    ...
+```
+
+## How it was built
+
+```bash
+pip install huggingface_hub pyarrow
+
+# accept the terms of the source dataset once:
+#   https://huggingface.co/datasets/bigcode/the-stack
+
+python update.py            # full 50K build
+python update.py --dry-run  # scan and report, push nothing
+```
+
+`update.py`:
+
+1. lists the Python parquet shards of `bigcode/the-stack`,
+2. shuffles them with a seed and downloads them through the HF cache
+   (re-runs are incremental),
+3. filters by the PyTorch import regex and length bounds,
+4. reservoir-samples 50,000 unique files,
+5. writes local parquet shards and pushes them plus this card to the Hub.
+
+The script is idempotent and resumable: source shards are cached under `cache/`
+and already-downloaded shards are skipped.
+
+## Known limitations (BETA)
+
+- **Not exhaustively filtered.** Files may contain security-sensitive code,
+  secrets committed to version control, or license-incompatible snippets. No
+  manual review has been performed.
+- **Import-based selection.** Files that use PyTorch only through a wrapper
+  (e.g. `transformers` without importing `torch`) are **not** included. Files
+  that mention `import torch` in a docstring/comment may be included.
+- **Sampling bias.** The sample is uniform over a random subset of shards, not
+  over all PyTorch files on GitHub. Repositories whose code is heavily
+  duplicated may still be over-represented.
+- **Duplicates.** The Stack is not deduplicated, so the same file can appear
+  more than once (across repositories) and very similar files are common.
+- **License metadata is noisy.** `license` comes from upstream detection and
+  may be missing, wrong, or list several licenses.
+- **Beta may change.** Rows and schema may change in future releases; pin a
+  revision if you need reproducibility.
+
+## Terms of use
+
+This dataset is distributed for research purposes. You are responsible for
+complying with the licenses of the original repositories. By using this dataset
+you agree to the [Terms of Use of The Stack](https://huggingface.co/datasets/bigcode/the-stack#terms-of-use-for-the-stack).
+
+## Citation
+
+If you use this dataset, please cite The Stack and this release:
+
+```bibtex
+@misc{pytorch-code-50k,
+  title        = {Pytorch-Code-50K (BETA)},
+  author       = {Monster-Code},
+  year         = {2026},
+  howpublished = {\url{https://huggingface.co/datasets/Monster-Code/Pytorch-Code-50K}}
+}
+
+@article{BigCodeTheStack,
+  title   = {The Stack: 3 TB of permissively licensed source code},
+  author  = {BigCode Project},
+  journal = {arXiv preprint arXiv:2211.15533},
+  year    = {2022}
+}
+```
+
+## Contact
+
+Questions, takedown requests, or complaints about specific files:
+open a discussion on the dataset repo or contact the Monster-Code maintainers.
+
+---
+
+*This is a **BETA** release. Expect rough edges. Please report issues on the
+dataset's Hugging Face page.*