Datasets:
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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)
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