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.gitattributes

@@ -58,3 +58,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 # Video files - compressed
 *.mp4 filter=lfs diff=lfs merge=lfs -text
 *.webm filter=lfs diff=lfs merge=lfs -text
+Python_pretrain.jsonl filter=lfs diff=lfs merge=lfs -text

LICENSE

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+Copyright 2026 PlayfulBug
+
+Licensed under the Apache License, Version 2.0 (the "License");
+you may not use this file except in compliance with the License.
+You may obtain a copy of the License at
+
+    http://www.apache.org/licenses/LICENSE-2.0
+
+Unless required by applicable law or agreed to in writing, software
+distributed under the License is distributed on an "AS IS" BASIS,
+WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+See the License for the specific language governing permissions and
+limitations under the License.

Python_pretrain.bin

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+oid sha256:c575517c22f0c4f609fc3a44258fd0413febeeb36b9b3f61918d5d8904ebf7b2
+size 804031016

Python_pretrain.jsonl

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+version https://git-lfs.github.com/spec/v1
+oid sha256:3291ad707cfa88c54861bcb47a50ea5f9a79ea455eff3f374f046fd68e4c8c50
+size 927329380

Python_pretrain.parquet

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+version https://git-lfs.github.com/spec/v1
+oid sha256:b147d9309c181384d3f8694d5337db931ad4f1ec2fca55b1275ee314770ada3c
+size 209511633

README.md

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 ---
 license: apache-2.0
+language:
+- en
+tags:
+- code
+- python
+- pretraining
+- programming
+- pip
+- datasets
+- gradio
+- keras
+- pytorch-lightning
+- pytest
+- transformers
+- ternsorflow
+- pytorch
+- numpy
+- pandas
+- matpotlib
+- django
+size_categories:
+- 100K<n<1M
 ---
+
+# Python and Docs Training Dataset
+
+A massive, multi-format code and documentation corpus built from 70+ major open-source Python repositories (including the Pip, Keras, Gradio, Transformers, Datasets, and more).
+
+## Dataset Structure
+## Dataset Structure
+
+The dataset is processed using exact BPE token chunking (**512-token chunks** with **zero overlap** via OpenAI's `cl100k_base` tokenizer) while preserving original Python indentation, newlines, and `<|file|>path` document boundaries—eliminating boundary duplication and allowing direct fixed-window pre-training without truncation or padding.
+
+Each record in the JSONL and Parquet shards contains:
+- **`id`**: Unique sequential identifier for the 512-token chunk (e.g., `combine_chunk_0`).
+- **`source`**: Originating combined corpus file (`combine.txt`).
+- **`chunk_index`**: Zero-based sequential index preserving repository-grouped ordering (`Docs -> Code`).
+- **`token_count`**: Exact BPE token length (`512` tokens per row; `< 512` only on the final EOF tail row if retained).
+- **`content`**: Raw, indentation-preserved block of Python code, type stubs, or documentation separated by `<|file|>path` headers.
+
+*(An accompanying flat binary shard `Python_pretrain.bin` stores the same continuous token stream as headerless `uint32` token IDs for zero-copy `np.memmap` training.)*
+
+## Corpus Breakdown
+- **Combined Repository Corpus (`combine.txt`)**: **22,551,967 lines** (~850.3 MB / ~220M+ `cl100k_base` tokens) curated across **74 permissive-license (MIT, Apache-2.0, BSD-3) repositories**, with line lengths capped at `999` characters and test/vendored directories excluded.
+- **Documentation (`.md`, `.rst`)**: Repository guides, API references, and technical manuals grouped ahead of each library's source tree.
+- **Python Source & Type Stubs (`.py`, `.pyi`)**: Production library implementations, core modules, and type annotations across foundational Python, data science, web, and ML frameworks (including CPython, PyTorch, TensorFlow, NumPy, SciPy, Pandas, Django, FastAPI/Starlette, and Transformers).
+
+## License
+Distributed under the **Apache-2.0** open-source license.