README.md

---
pretty_name: PharmAI KTU Contractility Signals
dataset_name: pharmaktu_contractility_signals
annotations_creators:
- expert-generated
language:
- en
license: cc-by-4.0
task_categories:
- other
tags:
- pharmacology
- contractility
- smooth-muscle
- trachea
- bladder
- mechanism-of-action
- receptor-mediated
size_categories:
- 1K<n<10K
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
  - split: validation
    path: data/validation-*
  - split: test
    path: data/test-*
dataset_info:
  features:
  - name: id
    dtype: string
  - name: signal
    list: float64
  - name: length
    dtype: int64
  - name: sample_rate_hz
    dtype: int64
  - name: label
    dtype: string
  - name: label_id
    dtype: int64
  - name: tissue
    dtype: string
  - name: moa
    dtype: string
  splits:
  - name: train
    num_bytes: 264126840
    num_examples: 410
  - name: validation
    num_bytes: 55374060
    num_examples: 84
  - name: test
    num_bytes: 54924460
    num_examples: 84
  download_size: 49031779
  dataset_size: 374425360
---

# PharmAI KTU Contractility Signals

**Summary.** The dataset comprises **578 isometric contractility time series** recorded from **isolated murine trachea and bladder smooth muscle** following exposure to pharmacological agents with distinct **receptor-mediated mechanisms of action (MoAs)**. A total of **50 adult male Balb/c mice** were used; **two smooth muscle strips per organ** were obtained, resulting in **four independent tissue samples per animal**.

> 🔒 **Access policy (gated, manual approval).**
> - **Review phase:** We **collect** access requests but **do not grant** access during peer review (exceptions only for co-authors or formal collaborators).
> - **Post-acceptance:** We will **evaluate and approve** requests individually. Priority is given to academic/non-commercial projects with a clear research purpose.
> - **Requirements:** Institutional email, brief usage statement, and agreement to the Terms of Use.
> - **Technical:** Approved users must be authenticated (login or token) to load the dataset.

---

## Data acquisition

- **Recording mode:** Continuous isometric force recordings  
- **Sampling rate:** **100 Hz**  
- **Digitization:** Isometric force transducers  
- **Source format:** `.txt` (one time series per file)  
- **Per-recording annotations:** tissue type (trachea/bladder), applied pharmacological agent, and corresponding MoA

---

## Classes and MoAs

| Label | Agent (abbrev)          | Mechanism of Action (MoA)            | Count |
|------:|--------------------------|--------------------------------------|------:|
| kcl   | Potassium chloride (KCl) | Calcium channel modulation           | 237   |
| cch   | Carbachol (CCh)          | Muscarinic receptor activation       | 179   |
| ser   | Serotonin (SER)          | Serotonergic receptor pathway        | 86    |
| his   | Histamine (HIS)          | Histaminergic receptor pathway       | 76    |
| **Total** | —                    | —                                    | **578** |

**Per tissue pharmacology:** Trachea → KCl, CCh, SER · Bladder → KCl, CCh, HIS.

---

## Folder structure

```
contractility-signals/
├─ data/
│  ├─ train-00000-of-00001.parquet
│  ├─ validation-00000-of-00001.parquet
│  └─ test-00000-of-00001.parquet
├─ label_map.json
├─ stats.json
└─ README.md
```

- `label_map.json` contains: `{"kcl":0,"cch":1,"ser":2,"his":3}`  
- `stats.json` includes global/per-class length stats and counts

---

## Splits and sizes

- **Train:** 410 (kcl 167, cch 127, ser 62, his 54)  
- **Validation:** 84 (kcl 35, cch 26, ser 12, his 11)  
- **Test:** 84 (kcl 35, cch 26, ser 12, his 11)

---

## Signal length statistics (samples @ 100 Hz)

Per-class (min / max / mean / std):

- **CCh:** 25,000 / 186,000 / 87,902.79 / 33,176.77  
- **HIS:** 20,340 / 376,000 / 97,247.37 / 57,972.76  
- **KCl:** 11,000 / 330,000 / 70,862.78 / 36,136.43  
- **SER:** 23,000 / 177,000 / 79,961.63 / 34,295.07

---

## Features

Each example includes:
- `id` *(string)*  
- `signal` *(float[])* — 1D contractility trace (100 Hz)  
- `length` *(int)* — number of samples  
- `sample_rate_hz` *(int)* — 100  
- `label` *(string)* — one of `{kcl, cch, ser, his}`  
- `label_id` *(int)* — from `label_map.json`  
- `tissue` *(string)* — `{trachea, bladder}`  
- `moa` *(string)* — mechanism mapped from label (table above)

---

## Access & loading

Once your request is approved (manual approval), you can load the dataset with a single line:

```python
from datasets import load_dataset
ds = load_dataset("pharmaiktu/contractility-signals")  # requires authentication for gated datasets
print(ds)  # DatasetDict with train/validation/test
```

---

## Terms of use

- **Academic / non-commercial research only.**  
- **No redistribution** of the dataset or derivatives without written permission from the authors.  
- Cite the associated manuscript and this dataset card in any public use.  
- Do not attempt re-identification or misuse of data.  
- Report issues or suspected policy violations to: **<contact email>**.

---

## Citation (to be updated post peer review)

Please use the **provisional citation** below during peer review. **A final citation with full bibliographic details will be provided after acceptance.**
```
PharmAI KTU Research Group (2025).
PharmAI KTU Contractility Signals [Dataset].
Hugging Face: https://huggingface.co/datasets/pharmaiktu/contractility-signals
```