81 extractive question-and-answer pairs built from 1. Background, published by nhsrcindia.org. 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. 20 of the 81 pairs (24.7%) are explanatory questions and 61 restate a figure. 93.83% of rows pass the corpus quality gate.
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https://www.desidata.in/api/datasets/health-dossier-2021-rajasthan-question-and-answer-dataset/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
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import desidata
df = desidata.load("health-dossier-2021-rajasthan-question-and-answer-dataset")
df.head()Sign in with Google to download.
Usable for analysis, but expect some cleaning before you rely on it.
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First 10 of 81 rows
| question | answer | context | answer_start | question_type | knowledge_quality_score | source_quote | source_page | source_location | confidence | validation_status |
|---|---|---|---|---|---|---|---|---|---|---|
| What is the largest state in India by geographical area? | the largest statea in India with a geographical spread of 3,42,239 km2 (RHS 2019) | Rajasthan is the largest statea in India with a geographical spread of 3,42,239 km2 (RHS 2019). It is divided into 34 districts and is estimated to have a population of over 6.85 croresb, which accounts for approximately 5.66% of India’s total populationc. | 13 | definition | 1.000 | Rajasthan is the largest statea in India with a geographical spread of 3,42,239 km2 (RHS 2019). | 3 | page=3,block=4 | 0.850 | valid |
| What type of cities does Rajasthan have instead of metropolitan cities? | no metropolitan cities but has 3 Million plus cities in the State | At present, 61 citiese are covered under National Urban Health Mission. There are no metropolitan cities but has 3 Million plus cities in the State. The total length of roadsf in Rajasthan is 2,65,599 km (5.31%g), in which, the length of the national highways is 7,906 km (6.9%h) and state highways is 15,019 km (8.58%i). | 82 | definition | 1.000 | There are no metropolitan cities but has 3 Million plus cities in the State. | 4 | page=4,block=1 | 0.850 | valid |
| What does the term 'Sex Ratio At Birth' refer to? | Sex Ratio At Birth (Females/1000 Males) | (Green – Good Performance, Red – Poor Performance) (District Wise Rural Urban Stats Not Available) S. No. States/Districts Data Source Sex Ratio At Birth (Females/1000 Males) Households with any usual member covered under a health insurance/ financing scheme (%) Women Literate 15-49 Age (%) Women Age 20-24 Years Married Before 18 (%) Any Method Used For Family Planning By Currently Married Women Age 15- 49 years (%) | 135 | definition | 1.000 | States/Districts Data Source Sex Ratio At Birth (Females/1000 Males) Households with any usual member covered under a health insurance/ financing scheme (%) Women Literate 15-49 Age (%) Women Age 20-24 Years Married Before 18 (%) Any Method Used For Family Planning By Currently Married Women Age 15- 49 years (%) | 20 | page=20,block=2 | 0.700 | valid |
| What measures were implemented in Rajasthan to improve health indicators? | infrastructure strengthening under NHM, such as establishment of SNCUs, NBSUs and NBCCs | Ever since the inception of NHM in 2005, Rajasthan has shown a significant decline in IMR from 68 (2005) to 35 (2019)) (Annexure 2, Figure 1). NNMRo and Still Birth (per 1,000 live births) rates have also significantly decreased from 42.7 and 11. (2005) to 26 and 6 (2018) respectively (Annexure 2, figure 4). Improvement in the indicators can be attributed to several interventions at the State level, including infrastructure strengthening under NHM, such as establishment of SNCUs, NBSUs and NBCCs (Annexure 1.4). The life expectancy at birth has also improved from 66. (2006-10) to 68. (2014-18) (Annexure 2, Figure 3). | 413 | relationship | 0.970 | Improvement in the indicators can be attributed to several interventions at the State level, including infrastructure strengthening under NHM, such as establishment of SNCUs, NBSUs and NBCCs (Annexure 1.4). | 5 | page=5,block=7 | 0.700 | valid |
| How does the per capita Government Health Expenditure in Rajasthan compare to the national average? | less than the national average of ₹ 1,753 | Rajasthan’s Net State Domestic Product (NSDP) for FY 2018-19 is 8,45,247 crores. The State is positioned 21stout of 32 states in terms of per capitaw of ₹ 1,10,606. According to NHA 2017-18, the per capita Government Health Expenditure in the Rajasthan is ₹ 1,369 which is less than the national average of ₹ 1,753. On the other hand, the OOPEx as a share of Total Health Expenditure is 49.6%, which is slightly higher than the national average of 48.8%. As per NSS 2017-18, the OOPE for IPD care per hospitalized case in rural areas is estimated to be around ₹ 9,685 in public facilities, ₹ 27,760 in private facilities; whereas for urban areas, it is around ₹ 7,773 in public facilities and ₹ 30,435 in private facilities. | 273 | comparison | 0.920 | According to NHA 2017-18, the per capita Government Health Expenditure in the Rajasthan is ₹ 1,369 which is less than the national average of ₹ 1,753. | 7 | page=7,block=2 | 0.700 | valid |
| How does the utilization of public health facilities in Rajasthan compare to the national averages? | better than the national averages | As per the NSSO data (2017-18), 43% of all OPD cases in rural areas and 32% in urban areas; and 51% of all IPD cases in rural areas & 50% in urban areas utilized public health facilities. The public health facility utilization in Rajasthan is better than the national averages for both (Annexure 1.6). w Directorate of Economics & Statistics x Out of Pocket Expenditure y AB-HWC Portal | 243 | comparison | 0.920 | The public health facility utilization in Rajasthan is better than the national averages for both (Annexure 1.6). | 7 | page=7,block=4 | 0.700 | valid |
| What does OOPE stand for? | Out of Pocket Expenditure | National Sample Survey Office (NSSO) (2017-2018) Rajasthan India Rural Urban Rural Urban OPD - % of non-hospitalized cases using public facility 43 32 33 26 IPD - % of hospitalized cases using public facility 51 50 46 35 Out of Pocket Expenditure (OOPE) (NSSO)* Rural Urban Rural Urban OPD - Per non-hospitalized ailing person (in INR) in last 15 days - Public 572 427 472 486 OPD - Per non-hospitalized ailing person (in INR) in last 15 days - Private 1566 1173 845 915 IPD - Per hospitalized case (in INR) - Public 9,685 7,773 5,729 5,939 IPD - Per hospitalized case (in INR) - Private 27,760 30,435 28,816 34,122 IPD - % of diagnostics expenditure as a proportion of inpatient medical expenditure in Public (NSSO) 14 14 18 17 IPD - % of drugs expenditure as a proportion of inpatient medical expenditure – Public (NSSO) 61 39 53 43 ff MPW – Multi Purpose Health Worker (Female + Male) gg MO MBBS (Full Time) hh Specialist (All Specialist) ii Sources are mentioned at the end of Annexure 1 * Estimated by NHSRC using unit level data of NSSO 2017-18, where OOPE = [Total Medical Expenditure + Transportation Cost] – Reimbursement | 221 | definition | 0.900 | National Sample Survey Office (NSSO) (2017-2018) Rajasthan India Rural Urban Rural Urban OPD - % of non-hospitalized cases using public facility 43 32 33 26 IPD - % of hospitalized cases using public facility 51 50 46 35 Out of Pocket Expenditure (OOPE) (NSSO)* Rural Urban Rural Urban OPD - Per non-hospitalized ailing person (in INR) in last 15 days - Public 572 427 472 486 OPD - Per non-hospitalized ailing person (in INR) in last 15 days - Private 1566 1173 845 915 IPD - Per hospitalized case (in INR) - Public 9,685 7,773 5,729 5,939 IPD - Per hospitalized case (in INR) - Private 27,760 | ||||
| What is the range of under-5 wasting burden in districts with low prevalence? | 8.6% to 12.8% | For under-5 wasting – Barmer, Bharatpur, Jalor, Sikar and Udaipur districts reported a low burden, ranging from 8.6% to 12.8%; while Bikaner, Ganganagar, Jaisalmer, Jhalawar and Karauli districts reported a relatively higher burden, ranging from 24.9% to 29%. | 112 | comparison | 0.840 | For under-5 wasting – Barmer, Bharatpur, Jalor, Sikar and Udaipur districts reported a low burden, ranging from 8.6% to 12.8%; while Bikaner, Ganganagar, Jaisalmer, Jhalawar and Karauli districts reported a relatively higher burden, ranging from 24.9% to 29%. | 6 | page=6,block=1 | 0.700 | valid |
| What is the range of under-5 wasting burden in districts with higher prevalence? | 24.9% to 29% | For under-5 wasting – Barmer, Bharatpur, Jalor, Sikar and Udaipur districts reported a low burden, ranging from 8.6% to 12.8%; while Bikaner, Ganganagar, Jaisalmer, Jhalawar and Karauli districts reported a relatively higher burden, ranging from 24.9% to 29%. | 246 | comparison | 0.840 | For under-5 wasting – Barmer, Bharatpur, Jalor, Sikar and Udaipur districts reported a low burden, ranging from 8.6% to 12.8%; while Bikaner, Ganganagar, Jaisalmer, Jhalawar and Karauli districts reported a relatively higher burden, ranging from 24.9% to 29%. | 6 | page=6,block=1 | 0.700 | valid |
| Which districts in Rajasthan had low sex ratios at birth as per NHFS 5? | Bhilwara, Bundi, Jalor, Rajsamand and Sikar | As per NHFS 5, the low SRBp ranging from 769- 802are reported in Bhilwara, Bundi, Jalor, Rajsamand and Sikar districts, while the high ones, ranging from 998– 1127 are reported in Alwar, Baran, Hanumangarh, Pali and Sirohi districts. l Reproductive, Maternal, Newborn, Child, Adolescent Health & Nutrition m Antenatal Check up n Iron Folic Acid Tablets o Neonatal Mortality Rate p Sex Ratio at Birth | 65 | list | 0.820 | As per NHFS 5, the low SRBp ranging from 769- 802are reported in Bhilwara, Bundi, Jalor, Rajsamand and Sikar districts, while the high ones, ranging from 998– 1127 are reported in Alwar, Baran, Hanumangarh, Pali and Sirohi districts. | 5 | page=5,block=7 | 0.700 | valid |
Read straight from the file — download or use the API URL for the full dataset.
| 14 |
| page=14,block=26 |
| 0.700 |
| valid |