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Browse files- README.md +141 -0
- gitattributes +59 -0
- redsm5_annotations.csv +0 -0
- redsm5_posts.csv +0 -0
README.md
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---
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license: apache-2.0
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task_categories:
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- text-classification
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- text-generation
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language:
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- en
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tags:
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- dsm5
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- depression
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- reddit
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- clinical-nlp
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- rationale
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- explainability
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pretty_name: ReDSM5
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size_categories:
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- 1K<n<10K
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configs:
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- config_name: default
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data_files:
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- split: annotations
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path: "redsm5_annotations.csv"
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- split: posts
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path: "redsm5_posts.csv"
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---
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# ⚕️💬 ReDSM5: A Reddit Dataset for DSM-5 Depression Detection
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> ℹ️ **Looking for a quick preview?**
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> A fully paraphrased, anonymized sample with 25 entries is [publicly available on the Hugging Face Hub](https://huggingface.co/datasets/irlab-udc/redsm5-sample) — no user agreement required!
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## 🚦 Access Conditions
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This dataset is gated. To obtain access, please complete the access request form at [ReDSM5 Agreement Form](https://www.irlab.org/ReDSM5_agreement.odt) and submit it via email to [eliseo.bao@udc.es](mailto:eliseo.bao@udc.es). Your request will be reviewed and you’ll receive approval or further instructions by email.
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## 📝 Dataset Summary
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**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.
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A **public paraphrased sample** is available for inspection and prototyping at [irlab-udc/redsm5-sample](https://huggingface.co/datasets/irlab-udc/redsm5-sample).
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This sample includes 25 entries, has been completely paraphrased to protect anonymity, and can be accessed without any agreement.
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Unlike other datasets, **every annotation** includes:
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- **`sentence_text`**: The relevant sentence from a Reddit post.
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- **`DSM5_symptom`**: One of:
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- `DEPRESSED_MOOD`
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- `ANHEDONIA`
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- `APPETITE_CHANGE`
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- `SLEEP_ISSUES`
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- `PSYCHOMOTOR`
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- `FATIGUE`
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- `WORTHLESSNESS`
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- `COGNITIVE_ISSUES`
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- `SUICIDAL_THOUGHTS`
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- `SPECIAL_CASE` (for non-DSM-5 clinical/positive discriminations)
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- **`status`**:
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- `1` = relevant evidence for the symptom
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- `0` = explicit negative (clinician-annotated absence of symptom)
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- **`explanation`**: Short clinical rationale.
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- **`post_id`, `sentence_id`**: For reference and grouping.
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There is also a **full post file** with the original post text.
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### 📁 Files
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- `redsm5_posts.csv`
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- Columns: `post_id`, `text` (cleaned full post)
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- `redsm5_annotations.csv`
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- Columns: `post_id`, `sentence_id`, `sentence_text`, `DSM5_symptom`, `status`, `explanation`
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#### Example annotation row:
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| post_id | sentence_id | sentence_text | DSM5_symptom | status | explanation |
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|--------------|-------------------|--------------------------------------------------|---------------|--------|-----------------------------------------------------------------------|
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| 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... |
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| 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... |
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| 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. |
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## 📊 Dataset Statistics
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- **Total posts**: 1,484
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- **Total number of expert explanations**: 1,547
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- **Average explanations per post**: 1.04
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- **Average number of symptoms per post (status=1 only)**: 1.39
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- **Number of hard negatives (posts with no symptoms, status=1)**: 392
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- **Average post length (in words)**: 294.7
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- **Min / Max post length (in words)**: 2 / 6,990
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#### Symptom Distribution (posts with `status=1`):
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| Symptom | Posts tagged |
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|------------------------|-------------:|
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| DEPRESSED_MOOD | 328 |
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| ANHEDONIA | 124 |
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| APPETITE_CHANGE | 44 |
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| SLEEP_ISSUES | 102 |
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| PSYCHOMOTOR | 35 |
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| FATIGUE | 124 |
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| WORTHLESSNESS | 311 |
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| COGNITIVE_ISSUES | 59 |
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| SUICIDAL_THOUGHTS | 165 |
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| **SPECIAL_CASE** | 92 |
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## 📦 File Format
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### `redsm5_full_posts.csv`
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| post_id | text |
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|------------|----------------------------------------------------------------------|
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| s_1001_1 | I feel tired every day. I can't concentrate and sleep is a mess... |
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### `redsm5_annotations_long.csv`
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| post_id | sentence_id | sentence_text | DSM5_symptom | status | explanation |
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|------------|------------------|---------------------------|----------------|--------|---------------------------------------------|
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| s_1001_1 | s_1001_1_1 | I feel tired every day. | FATIGUE | 1 | Indicates chronic fatigue. |
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| s_1001_1 | s_1001_1_3 | I can't concentrate... | COGNITIVE_ISSUES | 1 | Persistent cognitive issues. |
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## 💡 Notes
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- Each row in `redsm5_annotations_long.csv` is a unique `(post, sentence, symptom)` expert-annotated evidence.
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- For multi-label tasks, group by `post_id`.
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- For post-level text, use `redsm5_full_posts.csv`.
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## 📝 Citation
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This paper has been accepted as a Resource Paper at **CIKM 2025**. The official conference proceedings will be available soon. In the meantime, you can read the preprint on [arXiv](https://www.arxiv.org/abs/2508.03399):
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```bibtex
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@misc{bao2025redsm5,
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title = {ReDSM5: A Reddit Dataset for DSM-5 Depression Detection},
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author = {Eliseo Bao and Anxo Pérez and Javier Parapar},
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year = {2025},
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eprint = {2508.03399},
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archivePrefix= {arXiv},
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primaryClass = {cs.CL},
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url = {https://arxiv.org/abs/2508.03399},
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note = {Accepted at CIKM 2025}
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}
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```
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## 📬 Contact
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For questions, please reach out via email: `eliseo.bao@udc.es`
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