You need to agree to share your contact information to access this dataset

This repository is publicly accessible, but you have to accept the conditions to access its files and content.

Log in or Sign Up to review the conditions and access this dataset content.

βš•οΈπŸ’¬ ReDSM5: A Reddit Dataset for DSM-5 Depression Detection

ℹ️ Looking for a quick preview?
A fully paraphrased, anonymized sample with 25 entries is publicly available on the Hugging Face Hub β€” no user agreement required!

🚦 Access Conditions

This dataset is gated. To obtain access, please complete the access request form at ReDSM5 Agreement Form and submit it via email to [email protected]. Your request will be reviewed and you’ll receive approval or further instructions by email.

πŸ“ Dataset Summary

ReDSM5 is a corpus of 1,484 Reddit posts, each sentence-level annotated for presence or absence of the nine DSM-5 major depressive episode symptoms (or SPECIAL_CASE for expert discrimination cases), along with a clinical rationale from a licensed psychologist.

A public paraphrased sample is available for inspection and prototyping at irlab-udc/redsm5-sample.
This sample includes 25 entries, has been completely paraphrased to protect anonymity, and can be accessed without any agreement.

Unlike other datasets, every annotation includes:

  • sentence_text: The relevant sentence from a Reddit post.
  • DSM5_symptom: One of:
    • DEPRESSED_MOOD
    • ANHEDONIA
    • APPETITE_CHANGE
    • SLEEP_ISSUES
    • PSYCHOMOTOR
    • FATIGUE
    • WORTHLESSNESS
    • COGNITIVE_ISSUES
    • SUICIDAL_THOUGHTS
    • SPECIAL_CASE (for non-DSM-5 clinical/positive discriminations)
  • status:
    • 1 = relevant evidence for the symptom
    • 0 = explicit negative (clinician-annotated absence of symptom)
  • explanation: Short clinical rationale.
  • post_id, sentence_id: For reference and grouping.

There is also a full post file with the original post text.

πŸ“ Files

  • redsm5_posts.csv
    • Columns: post_id, text (cleaned full post)
  • redsm5_annotations.csv
    • Columns: post_id, sentence_id, sentence_text, DSM5_symptom, status, explanation

Example annotation row:

post_id sentence_id sentence_text DSM5_symptom status explanation
s_3019_239 s_3019_239_1 However my sex drive went crazy... SPECIAL_CASE 1 The above statement allows us to affirm that the person...
s_427_110 s_427_110_1 I'm feeling pretty proud of myself... SPECIAL_CASE 1 The person who writes this post is manifesting positive feelings...
s_221_12 s_221_12_5 I have trouble sleeping every night SLEEP_ISSUES 1 This statement shows persistent sleep issues matching DSM-5 criteria.

πŸ“Š Dataset Statistics

  • Total posts: 1,484
  • Total number of expert explanations: 1,547
  • Average explanations per post: 1.04
  • Average number of symptoms per post (status=1 only): 1.39
  • Number of hard negatives (posts with no symptoms, status=1): 392
  • Average post length (in words): 294.7
  • Min / Max post length (in words): 2 / 6,990

Symptom Distribution (posts with status=1):

Symptom Posts tagged
DEPRESSED_MOOD 328
ANHEDONIA 124
APPETITE_CHANGE 44
SLEEP_ISSUES 102
PSYCHOMOTOR 35
FATIGUE 124
WORTHLESSNESS 311
COGNITIVE_ISSUES 59
SUICIDAL_THOUGHTS 165
SPECIAL_CASE 92

πŸ“¦ File Format

redsm5_full_posts.csv

post_id text
s_1001_1 I feel tired every day. I can't concentrate and sleep is a mess...

redsm5_annotations_long.csv

post_id sentence_id sentence_text DSM5_symptom status explanation
s_1001_1 s_1001_1_1 I feel tired every day. FATIGUE 1 Indicates chronic fatigue.
s_1001_1 s_1001_1_3 I can't concentrate... COGNITIVE_ISSUES 1 Persistent cognitive issues.

πŸ’‘ Notes

  • Each row in redsm5_annotations_long.csv is a unique (post, sentence, symptom) expert-annotated evidence.
  • For multi-label tasks, group by post_id.
  • For post-level text, use redsm5_full_posts.csv.

πŸ“ Citation

Coming soon - paper under submission.
If you use this resource, please ⭐ star the repo and stay tuned for citation info.

πŸ“¬ Contact

For questions, please reach out via email: [email protected]

Downloads last month
23

Collection including irlab-udc/redsm5