Datasets:

superdoc-dev
/

docx-corpus

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:

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:

curl "https://api.docxcorp.us/manifest?type=legal&lang=en" -o manifest.txt
wget -i manifest.txt -P ./corpus/