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README.md

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+---
+language:
+- en
+license: apache-2.0
+size_categories:
+- 100K<n<1M
+task_categories:
+- tabular-classification
+- text-classification
+tags:
+- pypi
+- python
+- software-engineering
+- metadata
+- package-registry
+- downloads
+pretty_name: PyPI Download and Package Analysis
+configs:
+- config_name: default
+  data_files:
+  - split: train
+    path: packages_data/*.parquet
+dataset_info:
+  features:
+  - name: metadata_version
+    dtype: string
+  - name: name
+    dtype: string
+  - name: version
+    dtype: string
+  - name: summary
+    dtype: string
+  - name: description
+    dtype: string
+  - name: description_content_type
+    dtype: string
+  - name: author
+    dtype: string
+  - name: author_email
+    dtype: string
+  - name: maintainer
+    dtype: string
+  - name: maintainer_email
+    dtype: string
+  - name: license
+    dtype: string
+  - name: keywords
+    dtype: string
+  - name: classifiers
+    dtype: list
+    sub_dtype: string
+  - name: platform
+    dtype: list
+    sub_dtype: string
+  - name: home_page
+    dtype: string
+  - name: download_url
+    dtype: string
+  - name: requires_python
+    dtype: string
+  - name: requires
+    dtype: list
+    sub_dtype: string
+  - name: project_urls
+    dtype: list
+    sub_dtype: string
+  - name: upload_time
+    dtype: timestamp[us]
+  - name: size
+    dtype: int64
+  - name: packagetype
+    dtype: string
+  - name: recent_7d_downloads
+    dtype: int64
+---
+
+# PyPI Download and Package Analysis
+
+A comprehensive snapshot of the Python Package Index (PyPI), covering **690,775 packages** published from April 2005 through February 2026. Each row represents a published package release, enriched with full metadata from the PyPI API and recent download statistics from the PyPI BigQuery public dataset.
+
+## Dataset at a Glance
+
+| Stat | Value |
+|---|---|
+| Total packages | 690,775 |
+| Date range | April 2005 – February 2026 |
+| Total 7-day downloads | ~13.3 Billion |
+| Format | Parquet (15 shards) |
+| License | Apache-2.0 |
+
+## Data Fields
+
+| Field | Type | Description |
+|---|---|---|
+| `name` | string | Package name on PyPI (unique identifier) |
+| `version` | string | Release version string (PEP 440) |
+| `summary` | string | One-line description of the package |
+| `description` | string | Full project description / README text |
+| `description_content_type` | string | MIME type of the description (e.g. `text/markdown`) |
+| `author` | string | Primary author name |
+| `author_email` | string | Primary author email |
+| `maintainer` | string | Maintainer name (if different from author) |
+| `maintainer_email` | string | Maintainer email |
+| `license` | string | License string as declared by the author |
+| `keywords` | string | Space- or comma-separated keywords |
+| `classifiers` | list[string] | PyPI trove classifiers (e.g. `Programming Language :: Python :: 3`) |
+| `platform` | list[string] | Target platforms declared by the author |
+| `home_page` | string | Project homepage URL |
+| `download_url` | string | Direct download URL (if provided) |
+| `requires_python` | string | Python version constraint (e.g. `>=3.8`) |
+| `requires` | list[string] | Runtime dependencies |
+| `project_urls` | list[string] | Additional URLs (source, docs, tracker, etc.) |
+| `upload_time` | timestamp | UTC timestamp of when this release was uploaded |
+| `size` | int64 | Size of the distribution file in bytes |
+| `packagetype` | string | Distribution type: `sdist`, `bdist_wheel`, etc. |
+| `metadata_version` | string | Metadata specification version |
+| `recent_7d_downloads` | int64 | Total downloads in the most recent 7-day window |
+
+## Usage
+
+```python
+from datasets import load_dataset
+
+ds = load_dataset("semvec/pypi-packages")
+df = ds["train"].to_pandas()
+
+# Top 10 most downloaded packages
+df.sort_values("recent_7d_downloads", ascending=False).head(10)[["name", "summary", "recent_7d_downloads"]]
+```
+
+## Example Use Cases
+
+- **Trend Analysis** — Track adoption of ecosystems (AI/ML, web frameworks, DevOps tooling) by filtering classifiers and plotting `upload_time` vs. cumulative package count.
+- **Package Classification / NLP** — Use `summary` and `description` to train text classifiers or summarization models that categorize packages by domain.
+- **Dependency Graph Research** — Parse `requires` to construct a directed dependency graph of the entire Python ecosystem.
+- **Popularity Modeling** — Predict `recent_7d_downloads` from metadata features like `requires_python`, `classifiers`, description length, and age.
+- **License Compliance** — Audit license diversity across the ecosystem and identify packages with missing or ambiguous license declarations.
+- **Author & Maintainer Analysis** — Study open-source contribution patterns, prolific authors, and package maintainer turnover over time.
+
+## Data Collection
+
+Metadata was fetched from the [PyPI JSON API](https://pypi.org/pypi/{package}/json) for every package listed in the PyPI simple index. Download counts were sourced from the [PyPI public BigQuery dataset](https://console.cloud.google.com/bigquery?p=bigquery-public-data&d=pypi&page=dataset) (`bigquery-public-data.pypi.file_downloads`), aggregated over the 7 days preceding the collection date (February 2026).
+
+## Citation
+
+If you use this dataset in your research, please cite it as:
+
+```
+@dataset{pypi_packages_2026,
+  title   = {PyPI Download and Package Analysis},
+  author  = {semvec},
+  year    = {2026},
+  url     = {https://huggingface.co/datasets/semvec/pypi-packages},
+  license = {Apache-2.0}
+}
+```

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