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Datasets:
toczix
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sibo-research-db

Tasks:
Text Retrieval
Question Answering
Modalities:
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Text
Formats:
text
Languages:
English
Size:
< 1K
Tags:
reddit
health
sibo
mcas
ibs
long-covid
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sibo-research-db / README.md
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Update dataset card: 18 subs, security notes, intended/prohibited use
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metadata 
license: mit
task_categories:
  - text-retrieval
  - question-answering
language:
  - en
tags:
  - reddit
  - health
  - sibo
  - mcas
  - ibs
  - long-covid
  - microbiome
  - patient-reported-outcomes
pretty_name: SIBO Research DB
size_categories:
  - 1M<n<10M

sibo-research-db

A searchable SQLite database of 7,205,554 comments and 695,050 posts from 18 health-focused subreddits, scraped from the public arctic-shift Reddit archive.

Designed to be queried by AI tools (Claude, ChatGPT/Codex, Cursor, Cline, VS Code Copilot) via the sibo-research-db MCP server, but works as a standalone SQLite + FTS5 database for any kind of analysis.

Important: This is patient-reported experience data. It is not medical advice and has not been clinically validated. People misremember, exaggerate, and miss confounders. Use this to find patterns and leads worth bringing to a doctor or clinical literature — not as a substitute for either.

What's in it

Subreddit Comments Topic
r/covidlonghaulers 1,883,928 Long COVID
r/Supplements 894,256 Supplement protocols
r/ibs 892,121 Irritable bowel syndrome
r/SIBO 710,128 Small intestinal bacterial overgrowth
r/MCAS 558,683 Mast cell activation syndrome
r/dysautonomia 433,599 POTS / autonomic dysfunction
r/Microbiome 313,367 Gut microbiome
r/LongCovid 257,465 Long COVID (separate community)
r/Candida 251,539 Candida overgrowth
r/FODMAPS 249,222 Low-FODMAP diet
r/HistamineIntolerance 227,376 Histamine reactions
r/FoodAllergies 203,735 Food sensitivities
r/ToxicMoldExposure 188,293 Mold illness / CIRS
r/GutHealth 57,892 Gut health general
r/Longcovidgutdysbiosis 36,437 LC + gut overlap
r/FunctionalMedicine 28,322 Functional / integrative medicine
r/LeakyGutSyndrome 11,890 Intestinal permeability
r/SiboSuccessStories 7,301 Recovery stories — small but high-signal

Schema 

posts (
  id, subreddit, author, title, selftext,
  score, num_comments, created_utc, permalink,
  link_flair_text, domain, is_self
)

comments (
  id, subreddit, author, body, score,
  created_utc, link_id, parent_id, permalink
)

Full-text search via FTS5 virtual tables: posts_fts(title, selftext) and comments_fts(body).

Download 

# With the Hugging Face CLI
hf download toczix/sibo-research-db reddit.db --repo-type dataset --local-dir .

# Or direct
curl -L -o reddit.db https://huggingface.co/datasets/toczix/sibo-research-db/resolve/main/reddit.db

Files:

File Size Notes
reddit.db ~5.4 GB The full database, ready to query
reddit.db.zst ~2-3 GB Same DB, zstd-compressed for faster download. Decompress with zstd -d reddit.db.zst
checksums.txt small SHA256 of each release artifact

Verify after download 

sqlite3 reddit.db "PRAGMA integrity_check;"   # should print "ok"
sqlite3 reddit.db "SELECT COUNT(*) FROM posts; SELECT COUNT(*) FROM comments;"
shasum -a 256 reddit.db                       # compare against checksums.txt

Use with AI tools

See github.com/toczix/sibo-research-db for the MCP server and setup instructions for Claude Desktop, Claude Code, Codex CLI, Cursor, Cline, and VS Code Copilot Agent.

Use with plain SQL 

import sqlite3
conn = sqlite3.connect("file:reddit.db?mode=ro", uri=True)
cur = conn.execute("""
    SELECT c.subreddit, c.body, c.score
    FROM comments_fts fts
    JOIN comments c ON c.rowid = fts.rowid
    WHERE comments_fts MATCH 'prucalopride AND tolerance'
    ORDER BY c.score DESC
    LIMIT 10
""")
for row in cur:
    print(row)

Licensing

Code in the GitHub repo is MIT-licensed.

Reddit content in the database is owned by its original authors and Reddit. It's being redistributed here from the public arctic-shift archive for research and educational use, similar to how Pushshift was used by researchers for years. This is not a claim of public-domain status.

If you are a Reddit user whose content is included and you want it removed from future rebuilds, open an issue on the GitHub repo with your username and the affected content will be filtered out of the next snapshot.

Intended use

  • Patient/researcher exploratory analysis of self-reported chronic-illness experiences
  • Pattern-finding across thousands of accounts that single anecdotes hide
  • Generating hypotheses and leads to bring to clinicians or to peer-reviewed literature
  • Sanity-checking marketing claims and protocol recommendations against real reported outcomes

Prohibited use

  • Contacting, messaging, or harassing Reddit users found in the data
  • Building tools that imitate, impersonate, or republish named user content commercially
  • Training models intended to mimic specific users
  • Diagnosing, prescribing, or recommending medical treatment based on this data alone

Disclaimer

This is patient-reported experience data. It has not been clinically validated. People misremember, exaggerate, and miss confounders. The subs are heavily selection-biased — people who recover usually stop posting. Use this dataset to find patterns and leads worth bringing to a doctor or to clinical literature, not as a substitute for either.