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README.md

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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)