| | --- |
| | license: odc-by |
| | task_categories: |
| | - text-classification |
| | language: |
| | - en |
| | - ru |
| | - cs |
| | - pl |
| | - es |
| | - zh |
| | - lt |
| | - sk |
| | - fr |
| | - pt |
| | - de |
| | - it |
| | - sv |
| | - nl |
| | - bg |
| | - uk |
| | - tr |
| | - ja |
| | - hu |
| | - ko |
| | size_categories: |
| | - 100K<n<1M |
| | tags: |
| | - docx |
| | - word-documents |
| | - document-classification |
| | - ooxml |
| | pretty_name: docx-corpus |
| | --- |
| | |
| | # docx-corpus |
| |
|
| | The largest classified corpus of Word documents. 736K+ `.docx` files from the public web, classified into 10 document types and 9 topics across 76 languages. |
| |
|
| | ## Dataset Description |
| |
|
| | This dataset contains metadata for publicly available `.docx` files collected from the web. Each document has been classified by document type and topic using a two-stage pipeline: LLM labeling (Claude) of a stratified sample, followed by fine-tuned XLM-RoBERTa classifiers applied at scale. |
| |
|
| | ### Schema |
| |
|
| | | Column | Type | Description | |
| | |--------|------|-------------| |
| | | `id` | string | SHA-256 hash of the file (unique identifier) | |
| | | `filename` | string | Original filename from the source URL | |
| | | `type` | string | Document type (10 classes) | |
| | | `topic` | string | Document topic (9 classes) | |
| | | `language` | string | Detected language (ISO 639-1 code) | |
| | | `word_count` | int | Number of words in the document | |
| | | `confidence` | float | Classification confidence (min of type and topic) | |
| | | `url` | string | Direct download URL for the `.docx` file | |
| |
|
| | ### Document Types |
| |
|
| | legal, forms, reports, policies, educational, correspondence, technical, administrative, creative, reference |
| |
|
| | ### Topics |
| |
|
| | government, education, healthcare, finance, legal_judicial, technology, environment, nonprofit, general |
| | |
| | ## Download Files |
| | |
| | Each row includes a `url` column pointing to the `.docx` file on our CDN. You can download files directly: |
| | |
| | ```python |
| | from datasets import load_dataset |
| | import requests |
| |
|
| | ds = load_dataset("superdoc-dev/docx-corpus", split="train") |
| | |
| | # Filter and download |
| | legal_en = ds.filter(lambda x: x["type"] == "legal" and x["language"] == "en") |
| | for row in legal_en: |
| | resp = requests.get(row["url"]) |
| | with open(f"corpus/{row['id']}.docx", "wb") as f: |
| | f.write(resp.content) |
| | ``` |
| | |
| | Or use the manifest API for bulk downloads: |
| | |
| | ```bash |
| | curl "https://api.docxcorp.us/manifest?type=legal&lang=en" -o manifest.txt |
| | wget -i manifest.txt -P ./corpus/ |
| | ``` |
| | |
| | ## Links |
| | |
| | - **Website**: [docxcorp.us](https://docxcorp.us) |
| | - **GitHub**: [superdoc-dev/docx-corpus](https://github.com/superdoc-dev/docx-corpus) |
| | - **Built by**: [🦋 SuperDoc](https://superdoc.dev) |
| | |
