2 extractive question-and-answer pairs built from 1-Chest Clinic District Reporting format, published by ncdc.mohfw.gov.in. The source is a 1-page publication. Source-evidenced topics include chest clinic format 3, district level reporting, district hospitals, medical college hospitals, chest clinics, air pollution, chest clinics established, reporting period. Every answer is a verbatim span of text the source prints, and each row carries the passage it sits in, its offset in that passage, the source quote, the page and the location in the document, so any row can be checked against the original. Question types in the export: 2 summary. 2 of the 2 pairs (100.0%) ask explanatory questions; the remaining 0 are factual or table-based questions. 100.00% of rows pass the corpus quality gate.
This dataset contains two extractive question-and-answer pairs derived from the 'Chest Clinic District Reporting Format' published by ncdc.mohfw.gov.in. The questions focus on district-level reporting for chest clinics, including hospital details and additional remarks. Each answer is a verbatim excerpt from the source document, which is a single-page publication. The dataset highlights reporting elements such as the number and names of district hospitals, medical college hospitals, and remarks related to chest clinics.
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https://www.desidata.in/api/datasets/ncdc-mohfw-gov-in-b2d6e0b754b2ff45d0136328955da190/downloadDataset downloads are free. For Python or API downloads, sign in once and create a free DD token; set it as DD_TOKEN or save it in your notebook's secrets. Requests are linked to your account so your download history and counts stay accurate.
# One-time install: pip install desidata
# Set DD_TOKEN in your environment first (create a free token in Profile & settings).
import desidata
df = desidata.load("ncdc-mohfw-gov-in-b2d6e0b754b2ff45d0136328955da190")
df.head()First 2 of 2 rows
| question | answer | context | answer_start | question_type | knowledge_quality_score | source_document | source_quote | source_page | source_location | confidence | validation_status |
|---|---|---|---|---|---|---|---|---|---|---|---|
| What is recorded about District Hospitals in the reporting format for CHEST Clinics? | No. and name of District Hospitals in the District where CHEST Clinics established | No. and name of District Hospitals in the District where CHEST Clinics established 2 No. and name of Medical College Hospitals in the District where CHEST Clinics established 3 Total No. of CHEST Clinics established in the District 4 No. of patients visited CHEST Clinics in reporting period 5 No. of patients with history of exposure to Air Pollution in reporting period 6 No. of patients in reporting period with history of exposure to air pollution admitted for treatment 7 No. of patients provided risk-based counselling to reduce exposure in reporting period 8 Remarks if any | 0 | summary | 0.970 | https://ncdc.mohfw.gov.in/uploads/pdf/1-Chest%20Clinic%20District%20Reporting%20format.pdf | No. and name of District Hospitals in the District where CHEST Clinics established 2 No. | 1 | page=1,block=0 | 0.700 | valid |
| What additional comments or observations can be included in the CHEST Clinics reporting format? | Remarks if any | No. and name of District Hospitals in the District where CHEST Clinics established 2 No. and name of Medical College Hospitals in the District where CHEST Clinics established 3 Total No. of CHEST Clinics established in the District 4 No. of patients visited CHEST Clinics in reporting period 5 No. of patients with history of exposure to Air Pollution in reporting period 6 No. of patients in reporting period with history of exposure to air pollution admitted for treatment 7 No. of patients provided risk-based counselling to reduce exposure in reporting period 8 Remarks if any | 566 | summary | 0.890 | https://ncdc.mohfw.gov.in/uploads/pdf/1-Chest%20Clinic%20District%20Reporting%20format.pdf | of patients provided risk-based counselling to reduce exposure in reporting period 8 Remarks if any | 1 | page=1,block=0 | 0.700 | valid |
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