Clean dataset: rename content -> text, verify 201M tokens and schema

LICENSE

@@ -1,13 +0,0 @@
-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.jsonl

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:3291ad707cfa88c54861bcb47a50ea5f9a79ea455eff3f374f046fd68e4c8c50
-size 927329380
+oid sha256:060253496f9126319fe7fae55f20858585e3384bf2e0ee86761c18b4b5075fd4
+size 926151574

Python_pretrain.parquet

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:b147d9309c181384d3f8694d5337db931ad4f1ec2fca55b1275ee314770ada3c
-size 209511633
+oid sha256:17def3065f864130c3c5556403c3d74e65af1622e549ba8691a5d7f8635162ea
+size 209511606

README.md

@@ -22,13 +22,13 @@ tags:
 - django
 size_categories:
 - 100K<n<1M
-pretty_name: Goodman
 ---
 
 # 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
 
 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.
@@ -48,4 +48,4 @@ Each record in the JSONL and Parquet shards contains:
 - **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.
+Distributed under the **Apache-2.0** open-source license.