Datasets:
Request access to the OP-R1 Reddit corpus
This dataset contains pseudonymized but re-identifiable social-media content about substance use. Access is reviewed manually and granted only for public-health / harm-reduction research. Requests without a verifiable institutional affiliation and a specific research purpose will be declined.
DATA USE AGREEMENT — read in full before requesting access.
This corpus contains Reddit posts and comments about drug use, including opioids. Author usernames are replaced by salted HMAC pseudonyms, but the dataset retains original Reddit post/comment identifiers (id, link_id, parent_id). Those identifiers can be resolved on reddit.com to the original content and, where not deleted, to the author's real account. Treat every record as identifiable personal data concerning health and potentially criminal conduct.
By requesting access you represent that you have read this agreement and agree to be bound by it.
1. Permitted use. Aggregate public-health, harm-reduction, epidemiological, computational-social-science or NLP research, conducted under the oversight of an IRB / research ethics committee (or a documented determination that such oversight is not required in your jurisdiction).
2. Prohibited uses. You will NOT: (a) attempt to re-identify, deanonymize, unmask or determine the real-world identity of any individual, including by resolving retained Reddit identifiers, cross-referencing external data, or querying any API or web service with dataset content; (b) contact, message, survey, recruit, profile, monitor or surveil any individual represented in the data; (c) use the data for law-enforcement, prosecutorial, immigration, insurance, credit, employment or any other adverse determination about an individual; (d) use it for commercial purposes, advertising, or targeting; (e) use it to facilitate the acquisition or distribution of controlled substances; (f) publish, present or otherwise disclose any verbatim quotation, username, pseudonymous user_id, Reddit identifier, or any other detail that could reasonably permit identification of an individual.
3. No redistribution. You will not republish, mirror, share, sublicense, post to any public repository or model hub, or otherwise transfer the data or any substantial derivative of it, in whole or in part, to any third party. Access is personal to you. Collaborators must request access individually. Models trained on this data must not be released if they can reproduce identifying content.
4. Security. You will store the data on access-controlled systems, restrict access to named personnel covered by this agreement, and not upload it to third-party services (including commercial LLM APIs) that may retain, train on, or disclose it.
5. Underlying rights. Content remains the intellectual property of its original authors and is subject to the Reddit User Agreement. This dataset is a research derivative; nothing here grants you rights in the underlying content. You are responsible for your own compliance with Reddit's terms and with all applicable law, including GDPR, HIPAA and equivalents.
6. Deletion. You will delete all copies upon completion of the stated research, upon withdrawal of access, or on request of the maintainers.
7. Incident reporting. You will report any accidental disclosure, re-identification, breach, or loss of control of the data to the maintainer within 72 hours.
8. Publication. Report results in aggregate. Paraphrase rather than quote. Cite the dataset and the upstream arctic_shift project.
9. Termination. Access may be revoked at any time, with or without cause. Breach terminates your rights immediately and obliges you to delete all copies.
10. No warranty. Provided "as is", without warranty of any kind. The maintainers accept no liability arising from your use. The data is a non-representative convenience sample and must not be used for clinical, diagnostic, or individual decision-making purposes.
11. Images — additional restrictions. This dataset contains photographs posted by Reddit users. Images can identify a person in ways text cannot: a face, a tattoo, a hand, a recognisable room, a prescription label, a street view. In addition to the terms above you will NOT: (a) run face detection, face recognition, biometric extraction, or any person-matching or clustering technique intended to group images by depicted individual; (b) attempt to read, enhance, or reconstruct any text visible in an image that identifies a person, address, prescription, or account; (c) perform reverse-image search on any image, or submit any image to a third-party service that performs one; (d) reproduce any image, crop, or thumbnail in a publication, presentation, poster, or model card. Report image findings only in aggregate.
12. Image provenance and integrity. Images were retrieved from the URLs recorded in the posts, not from Reddit's API. Some were deleted or replaced by the host before retrieval; such records are marked in image_status and carry no image bytes. EXIF and other embedded metadata are stripped on ingest, but you must not treat that as a guarantee that no identifying information remains inside the visible frame.
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OP-Reddit-Image
A full mirror of OP-R1/OP-Reddit-Post
— all 46,934,806 rows — with each post's image attached where it could still be
retrieved. Mirroring rather than shipping images alone means you never have to
join two separately gated datasets to put a post's text next to its picture.
Scale
| rows (identical to OP-Reddit-Post) | 46,934,806 |
posts flagged has_image |
656,932 |
| posts with an image retrieved | 373,752 |
| of which imgur albums | 6,968 |
| total images (incl. album members) | 379,541 |
| size | ~372 GB across 285 shards |
Retrieval outcomes
Every flagged post was attempted exactly once. Rows whose image could not be
retrieved are kept, with image_status recording why — a missing image is
itself a signal, and dropping those rows would bias the corpus toward newer,
better-preserved content.
image_status |
rows | meaning |
|---|---|---|
no_image |
46,277,880 | not an image post (comments, text posts) |
ok |
373,752 | image retrieved and stored |
404 |
272,241 | host no longer has it — deleted |
placeholder |
3,703 | host returned a stand-in image, not the original |
unsupported_host |
2,630 | host outside the fetch scope (giphy, discord, …) |
removed_page |
2,442 | host served an HTML removal page instead of an image |
skipped_album |
2,010 | imgur album that no longer resolves to any image |
not_an_image |
141 | URL resolved to video (gifv/mp4) |
error |
7 | genuine fetch failure |
41.4% of flagged images were already gone. That is the most important number here for anyone reasoning about coverage: this is a salvage of what survived, not a record of what was posted.
placeholder and removed_page deserve attention. imgur answers a request for
a deleted image with HTTP 200 — sometimes a 503-byte PNG, sometimes an HTML
page. A fetcher that trusts status codes records both as successes. They are
detected here by content hash and response type and are never stored as images.
Albums
An imgur album is a single post holding several images. 8,978 posts pointed at one; 6,968 still resolved, yielding 12,757 images (6,491 albums hold one image, 592 hold more, 259 hold six or more).
image— the album's first image, so album posts behave like any other image post for the viewer and forimage is not nullfiltersalbum_images— aSequence(Image())with the complete album, in album ordern_album_images— how many;0for non-album posts
Columns
Every column from OP-Reddit-Post, plus:
| Column | Type | Meaning |
|---|---|---|
image |
Image |
The image, EXIF-stripped. Null unless image_status = "ok". |
album_images |
Sequence(Image) |
All images of an imgur album, in order. Empty otherwise. |
n_album_images |
int64 |
Album size; 0 when not an album. |
image_status |
string |
See the table above. Never null. |
image_sha256 |
string |
SHA-256 of the stored bytes of image. |
image_bytes |
int64 |
Size of image in bytes. |
image_mime |
string |
image/jpeg, image/png, image/gif. |
image_width / image_height |
int64 |
Pixel dimensions of image. |
Processing notes
EXIF is stripped losslessly. JPEG APP1/APP13/APP14 segments and PNG text chunks are removed by walking the container, without re-encoding — the pixels are byte-identical to what the host served, with no generation loss. This removes GPS coordinates, device serial numbers and capture timestamps. It does not guarantee the visible content of an image is free of identifying detail; see the access agreement.
Row order within each subreddit matches OP-Reddit-Post, which is
user-contiguous, so a user's records stay adjacent here too.
Verification. Row counts match OP-Reddit-Post exactly in all 37
partitions; all 46,934,806 rows were checked against the fetch log with zero
status mismatches; 5,380 embedded images were re-hashed with zero SHA-256
mismatches; and every one of the 6,968 album posts and 12,757 album images was
verified exhaustively — count, order, decodability, and that image equals
album_images[0].
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