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This dataset contains scanned Texas county land records (public records, but they contain personal names and addresses). Access is granted manually. Describe your intended use below.
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Mc Mullen County, Texas - Land Records
Recorded land-records documents (deeds, mortgages, liens, releases, plats, etc.) from the Mc Mullen County Clerk's free online
index: i2j.uslandrecords.com/TX/McMullen. Each document is the original scanned page images, unmodified (JPEG, 2550 px
wide, exactly as served), the docTR word-level OCR output for each page, the clerk index row (parties, legal description,
references) and per-page OCR text.
These are public records from the Mc Mullen County Clerk. The dataset is gated (manual approval) because the records contain personal names and property details; request access on the dataset page.
Contents (updated 2026-10-19T09:29:49)
| Documents | 11,373 |
| Pages (images) | 51,140 |
| Shards (data + raw) | 49 |
| Size (data + raw) | 43.4 GB |
| Documents with OCR sidecar (ocr/) | 2,122 |
| Filing years covered | 1844-2026 |
Only whole records are included (every page image downloaded and checked against the clerk's page count, parties complete).
A document is uploaded as soon as it is completely downloaded, before OCR (raw/); its OCR is added afterwards as a separate
sidecar record (ocr/). New documents are added incrementally; shards are append-only and never rewritten, so a document's OCR
is always in a later shard than its images. Documents uploaded earlier (before 10-17) are in data/ with images and OCR together.
Layout
raw/raw-NNNNNN.tar- WebDataset shards (~1 GB), current format. One record per document, grouped by key:<key>.json- clerk index + detail metadata (see below; no OCR)<key>.pNNN.jpg- original page image (page NNN, byte-identical to the source)
ocr/ocr-NNNNNN.tar- OCR sidecars for documents already inraw/(separate shards, uploaded after the document has been read):<key>.ocr.json-{key, doc_no, ocr_at, pages: [{page, ocr, text}]}<key>.pNNN.ocr.json.gz- docTR word boxes + text for page NNN Join raw and OCR records onkey.
data/shard-NNNNNN.tar- old combined shards (image + OCR + metadata per document, same member names as above, OCR inside<key>.jsonpage_data).manifest/raw.jsonl,manifest/ocr.jsonl,manifest/manifest.jsonl- one line per uploaded document in the matching track:key,doc_no,shard,pages,bytes,year.
Key
key = mcmullen_<doc_no> where every character outside [A-Za-z0-9-] in doc_no is replaced by _<hex>_
(for example 968@1955-03-14 -> mcmullen_968_40_1955-03-14). The original doc_no is in the JSON; the mapping is reversible.
JSON fields
key, doc_no, county, county_slug, file_date (M/D/YYYY), rec_time, instr_date, doc_type, pages, img_pages,
book_page, legal, grantors (list), grantees (list), refs, n_parties, parties_incomplete, text_status,
detail_raw (clerk detail page text), harvested_at, ocr_at, downloaded_at (UTC, from image files), source,
page_data (list of {page, image, ocr, image_bytes, image_md5, ocr_bytes, text}).
Note: very old records sometimes have an empty/partial party list (parties_incomplete); OCR text is machine output and
contains errors.
Loading
import webdataset as wds
ds = wds.WebDataset("data/shard-{000000..000003}.tar")
License / terms
Source documents are public records. No license is asserted over the underlying records; the compilation, OCR output and metadata are provided for research and title-search use under the access conditions above.
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