scientificserhanayberkkilic/physiotherapy-evidence-qamedicalphysiotherapyquestion-answeringbilingualturkishragfine-tuningclinicalrehabilitationllm

Physiotherapy Evidence QA (Bilingual TR/EN)

Name: Physiotherapy Evidence QA (Bilingual TR/EN)
Creator: DataBazaar
Keywords: serhanayberkkilic/physiotherapy-evidence-qa, medical, physiotherapy, question-answering, bilingual, turkish, rag, fine-tuning, clinical, rehabilitation, llm

About this data

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

Name	Type	Description
question_tr	VARCHAR	Clinical or research question about physiotherapy in Turkish language
answer_tr	VARCHAR	Evidence-based answer to the Turkish question
question_en	VARCHAR	Clinical or research question about physiotherapy in English language
answer_en	VARCHAR	Evidence-based answer to the English question
disease_category_tr	VARCHAR	Musculoskeletal condition or disorder name in Turkish
disease_category_en	VARCHAR	Musculoskeletal condition or disorder name in English
question_type_tr	VARCHAR	Category of question (e.g., PT Treatment, Diagnosis, Outcome Measures) in Turkish
question_type_en	VARCHAR	Category of question (e.g., PT Treatment, Diagnosis, Outcome Measures) in English
difficulty_tr	VARCHAR	Question difficulty level (e.g., Kolay/Orta/Zor) in Turkish
difficulty_en	VARCHAR	Question difficulty level (e.g., Easy/Medium/Hard) in English
keywords_tr	VARCHAR	Comma-separated or JSON-array list of relevant medical/clinical terms in Turkish
keywords_en	VARCHAR	Comma-separated or JSON-array list of relevant medical/clinical terms in English
source_file	VARCHAR	PDF or document filename from which the Q&A pair was extracted
source_page	BIGINT	Page number (integer) in the source document where content originated

Sample Data

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# 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 (Bil" })
// Found: 71d5d4d0-3df1-4d5e-8c81-9189c71c9b87
get_download_url({ dataset_id: "71d5d4d0-3df1-4d5e-8c81-9189c71c9b87" })  // free — no API key needed

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