scientificserhanayberkkilic/physiotherapy-evidence-qamedicalphysiotherapyquestion-answeringbilingualturkishragfine-tuningclinicalrehabilitationllm

Physiotherapy Evidence QA Bilingual

Free

Open dataset

Sample structure: 100 / 100
4 download links issued
Seller: DataBazaar
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Category
Scientific
Records
143,711 rows
Format
PARQUET
Update Frequency
Not documented
Collection Method
uploaded
PII
No flagged field names; not a privacy audit
File Size
~63.82 MB
Download links issued
4

Source, license and coverage

Supplier documentation. These claims are separate from the automated sample score. A listing edit date is not a data freshness date.

License
cc-by-4.0
Source / creator
serhanayberkkilic/physiotherapy-evidence-qa
Collection method
Per the publisher, the corpus was expert-curated around evidence-based physiotherapy literature, with Turkish and English pairs aligned to support cross-lingual use. The dataset targets musculoskeletal rehabilitation, standardized outcome measures, and clinical research methodology topics. Specifics of source-document sampling and curation workflow are not fully documented on the dataset card.
Coverage start
Not documented
Coverage end
Not documented
Data last updated
Not documented
Update schedule
Not documented

Source documentation ↗

License terms ↗

Source does not document detailed provenance of underlying evidence sources, annotator credentials, inter-annotator agreement, or QA validation procedures; buyers should validate empirically. Coverage is limited to Turkish and English, and to the physiotherapy/musculoskeletal domain — not a general medical QA corpus. Alignment quality between TR and EN pairs is asserted but not quantified. Not deduplicated against public medical QA benchmarks — leakage risk if used to train models later evaluated on MedQA-style suites.

Sample structure score: 100 / 100

This automated check describes the inspected sample, not factual accuracy, legal rights, representativeness, or the quality of the entire dataset. It is not a customer rating.

Assessed 10 sample records (JSON) on 2026-10-09. All records in the provided sample were checked.

CheckPointsEvidence
Populated cells50 / 50140 of 140 top-level cells contain a value. Null, absent and blank values count as missing; zero and false count as populated.
Consistent value types30 / 30140 of 140 populated cells match their column's most common observed type. Types are inferred, not checked against real-world truth.
Consistent record shape20 / 2010 of 10 records have the expected fields. CSV/TSV use the header width; JSON uses the union of observed keys.
Field-level findings and improvements

Check missing cells and mixed types below. Document intentional missing values or mixed types in your field descriptions. Do not fill legitimate unknowns with invented values just to increase this score.

FieldMissing cellsMost common typeOther populated types
question_tr0 / 10string0 / 10
answer_tr0 / 10string0 / 10
question_en0 / 10string0 / 10
answer_en0 / 10string0 / 10
disease_category_tr0 / 10string0 / 10
disease_category_en0 / 10string0 / 10
question_type_tr0 / 10string0 / 10
question_type_en0 / 10string0 / 10
difficulty_tr0 / 10string0 / 10
difficulty_en0 / 10string0 / 10
keywords_tr0 / 10string0 / 10
keywords_en0 / 10string0 / 10
source_file0 / 10string0 / 10
source_page0 / 10number0 / 10
How the score is calculated, its limitations, and how to correct an assessment →

About this data

Expert-curated Turkish and English question-answer pairs covering evidence-based physiotherapy, musculoskeletal rehabilitation, outcome measures, and clinical research methodology.

Retrieve with your agent or Python

Create an account and configure DATABAZAAR_API_KEY. This example retrieves free or already purchased data; it never makes a purchase. For a multi-file dataset, choose a file index from the manifest.

Download the Python example
python3 retrieve-dataset.py 71d5d4d0-3df1-4d5e-8c81-9189c71c9b87 --output dataset.bin
Full supplier documentation
## Overview Physiotherapy Evidence QA is a bilingual (Turkish/English) clinical question-answering corpus containing 143,711 aligned Q&A pairs focused on evidence-based physiotherapy, musculoskeletal rehabilitation, clinical outcome measures, and research methodology. Delivered as CSV, it is intended to support Medical LLM training, Clinical Decision Support Systems, and cross-lingual medical information retrieval. ## Schema - question — string — clinical or research-methodology question in source language - answer — string — evidence-based answer text - language — string — language code (tr/en) for the pair - (additional alignment/topic columns may be present per the source CSV; see HF dataset page) ## Sources - Hugging Face: https://huggingface.co/datasets/serhanayberkkilic/physiotherapy-evidence-qa — License: CC-BY-4.0 ## Methodology Per the publisher, the corpus was expert-curated around evidence-based physiotherapy literature, with Turkish and English pairs aligned to support cross-lingual use. The dataset targets musculoskeletal rehabilitation, standardized outcome measures, and clinical research methodology topics. Specifics of source-document sampling and curation workflow are not fully documented on the dataset card. ## Known gaps & limitations Source does not document detailed provenance of underlying evidence sources, annotator credentials, inter-annotator agreement, or QA validation procedures; buyers should validate empirically. Coverage is limited to Turkish and English, and to the physiotherapy/musculoskeletal domain — not a general medical QA corpus. Alignment quality between TR and EN pairs is asserted but not quantified. Not deduplicated against public medical QA benchmarks — leakage risk if used to train models later evaluated on MedQA-style suites. ## Intended use & out-of-scope - Intended: fine-tuning and RAG for medical/physiotherapy LLMs, bilingual TR↔EN clinical NLP, cross-lingual retrieval evaluation, domain adaptation for Med-LLMs and CDSS prototypes. - Out-of-scope: direct clinical decision-making without expert review; general (non-physio) medical QA; benchmark training without leakage checks; languages other than TR/EN. Original supplier listing: Physiotherapy Evidence QA (Bilingual TR/EN) 143,711 bilingual (Turkish/English) expert-curated Q&A pairs covering evidence-based physiotherapy, musculoskeletal rehabilitation, outcome measures, and clinical research methodology. CSV format, CC-BY-4.0.

Schema

NameTypeDescription
question_trVARCHARClinical or research question about physiotherapy in Turkish language
answer_trVARCHAREvidence-based answer to the Turkish question
question_enVARCHARClinical or research question about physiotherapy in English language
answer_enVARCHAREvidence-based answer to the English question
disease_category_trVARCHARMusculoskeletal condition or disorder name in Turkish
disease_category_enVARCHARMusculoskeletal condition or disorder name in English
question_type_trVARCHARCategory of question (e.g., PT Treatment, Diagnosis, Outcome Measures) in Turkish
question_type_enVARCHARCategory of question (e.g., PT Treatment, Diagnosis, Outcome Measures) in English
difficulty_trVARCHARQuestion difficulty level (e.g., Kolay/Orta/Zor) in Turkish
difficulty_enVARCHARQuestion difficulty level (e.g., Easy/Medium/Hard) in English
keywords_trVARCHARComma-separated or JSON-array list of relevant medical/clinical terms in Turkish
keywords_enVARCHARComma-separated or JSON-array list of relevant medical/clinical terms in English
source_fileVARCHARPDF or document filename from which the Q&A pair was extracted
source_pageBIGINTPage number (integer) in the source document where content originated

Sample Data

Preview a sample of the data before downloading.

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For AI Agents

Via MCP Server
# 1. Add to your agent's MCP config (claude_desktop_config.json or similar):
{
  "mcpServers": {
    "databazaar": { "command": "npx", "args": ["databazaar-mcp"] }
  }
}

# 2. Your agent can then call:
search_datasets({ query: "Physiotherapy Evidence QA Bili" })
// Found: 71d5d4d0-3df1-4d5e-8c81-9189c71c9b87
get_download_url({ dataset_id: "71d5d4d0-3df1-4d5e-8c81-9189c71c9b87" })  // free — sign in with MCP OAuth first
Via REST API
# Free dataset — sign in or use your account API key:
curl https://api.databazaar.io/datasets/71d5d4d0-3df1-4d5e-8c81-9189c71c9b87/download-url -H "Authorization: Bearer $DATABAZAAR_API_KEY"