240 extractive question-and-answer pairs built from Are You suprised ?, published by desagri.gov.in. 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. 81 of the 240 pairs (33.8%) are explanatory questions and 159 restate a figure. 98.75% of rows pass the corpus quality gate.
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Strong coverage with minor gaps in documentation or freshness.
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First 10 of 240 rows
| question | answer | context | answer_start | question_type | knowledge_quality_score | source_quote | source_page | source_location | confidence | validation_status |
|---|---|---|---|---|---|---|---|---|---|---|
| What happened to the big ship near Wakalapudi beach in East Godavari district? | carried away by the waves along the Wakalapudi beach near Kakinada of East Godavari district | Twenty one country boats washed off in the sea off konapapapeta in kothapalli mandal of East Godavari. A big ship was carried away by the waves along the Wakalapudi beach near Kakinada of East Godavari district. Many boats and fishing nets wear swept off in the areas adjoining Wakadu, Alluru, Mypad,Gangapatnam in Nellore district. | 118 | definition | 1.000 | A big ship was carried away by the waves along the Wakalapudi beach near Kakinada of East Godavari district. | 300 | page=300,block=0 | 0.850 | valid |
| What does the FASAL scheme aim to generate? | forecasts of area, production and yield based upon Remote Sensing and econometric modeling | 1. Forecasting Agricultural Output using Space, Agro- meteorology and Land based observations (FASAL) Under the FASAL scheme, forecasts of area, production and yield based upon Remote Sensing and econometric modeling are generated. The agencies involved under the scheme are Space Application Centre (SAC), Ahmedabad, Institute of Economic Growth (IEG), New Delhi and India Meteorological Department (IMD). Under the scheme, multiple in-season forecasts of area & production of specified crops at National/State level are envisaged. Inputs from remote sensing, weather and field observations are used for validating the forecasts and inferences for desired coverage, accuracy and timeliness. DAC&FW has established Mahalanobis National Crop Forecast Centre (MNCFC) on April 23, 2012 which operationalises Remote Sensing Methodology on crop forecast and drought assessments in collaboration with ISRO. | 126 | definition | 1.000 | Forecasting Agricultural Output using Space, Agro- meteorology and Land based observations (FASAL) Under the FASAL scheme, forecasts of area, production and yield based upon Remote Sensing and econometric modeling are generated. | 26 | |||
| What are the components of the GCF of the economy in the public sector? | GCF of Public Non-financial corporations, Public Financial Corporations and General Government | Year GCF in Agriculture & Allied sector (` Crore) GCF of Economy (by industry of use) (` Crore) Share of GCF in Agriculture & Allied sector in GCF of Economy (%) Note : 1. GCF of economy (Public Sector) is the sum of GCF of Public Non-financial corporations, Public Financial Corporations and General Government 2. GCF of economy (Private Sector) is the sum of GCF of Private Non-Financial corporations, Private Financial Corporations and Households | 217 | definition | 1.000 | GCF of economy (Public Sector) is the sum of GCF of Public Non-financial corporations, Public Financial Corporations and General Government 2. | 56 | page=56,block=6 | 0.700 | valid |
| What are the components of the GCF of the economy in the private sector? | GCF of Private Non-Financial corporations, Private Financial Corporations and Households | Year GCF in Agriculture & Allied sector (` Crore) GCF of Economy (by industry of use) (` Crore) Share of GCF in Agriculture & Allied sector in GCF of Economy (%) Note : 1. GCF of economy (Public Sector) is the sum of GCF of Public Non-financial corporations, Public Financial Corporations and General Government 2. GCF of economy (Private Sector) is the sum of GCF of Private Non-Financial corporations, Private Financial Corporations and Households | 361 | definition | 1.000 | GCF of economy (Private Sector) is the sum of GCF of Private Non-Financial corporations, Private Financial Corporations and Households | 56 | page=56,block=6 | 0.700 | valid |
| What irrigation system is being studied in Rajasthan and Gujarat? | Pressurized Irrigation Network System (PINS) | Working and Impact of Pressurized Irrigation Network System (PINS) in Rajasthan. V.V. Nagar 35. Working and Impact of Pressurized Irrigation Network System (PINS) in Gujarat. V.V. Nagar, 36. Evaluation and Assessment of economic losses on account of inadequate Post Harvest Infrastructure Facilities for Fisheries Sector in West Bengal. Visva Bharati 37. Farmers Suicides: Causes and Policy Prescriptions in West Bengal. Visva Bharati 38. A study on Productivity and Profitability in Agriculture and Horticulture in Eastern Himalayan Region. Visva Bharati 39. A study on indigenous rice varieties in Sundarban delta and their role in ensuring local food security in the face of climate threats. Visva Bharati | 22 | definition | 1.000 | Working and Impact of Pressurized Irrigation Network System (PINS) in Rajasthan. | 307 | page=307,block=0 | 0.700 | valid |
| What is the goal of the Kisan Call Centre (KCC) and Kisan Knowledge Management System (KKMS)? | A decision-oriented information system for farmers | 40. Evaluation and impact of mechanization on agri. Growth, comparative economics of labour and machinery in Agriculture in Odisha. Vishakhapatnam 41. Farmers Suicides: Causes and Policy Prescriptions in Andhra Pradesh. Vishakhapatnam 42. Farmers Suicides: Causes and Policy Prescriptions in Telangana Vishakhapatnam 43. Assessment of crop-wise marketable and marketed surplus of food grains and post harvest losses in A.P. Vishakhapatnam 2017-18 1. A decision-oriented information system for farmers- through Kisan Call Centre (KCC) and Kisan Knowledge Management System (KKMS). (Consolidated) CMA, Ahmedabad 2. A decision-oriented information system for farmers- through Kisan Call Centre (KCC) and Kisan Knowledge Management System (KKMS) in Gujarat. CMA, Ahmedabad 3. Assessment of the Impact of Neem Coated Urea on Production, Productivity and Soil Health in India. ADRT, Bangalore 4. | 450 | definition | 1.000 | Vishakhapatnam 2017-18 1. A decision-oriented information system for farmers- through Kisan Call Centre (KCC) and Kisan Knowledge Management System (KKMS). | 308 | page=308,block=0 | ||
| Why are the estimates referred to as 'advance'? | these have been prepared in advance of availability of results of CCE (Crop Cutting Experiments) | Appendix-II Explanatory Note Advance Estimates The estimates of area, production and yield rates for 2019-20 used in the publication are “Fourth Advance Estimates” as on 19.08.2020 and are based on data received from the State Governments, validated through deliberations held in weekly inter- disciplinary meetings of Crop Weather Watch Group (CWWG), availability of water in major reservoirs in the country, area enumeration based on Remote Sensing Technology, estimates from Econometrics Modeling, availability/supply of important inputs, including credit to farmers community, feedback received from states, etc. These estimates are “advance” in the sense that these have been prepared in advance of availability of results of CCE (Crop Cutting Experiments) and are subject to revision as more precise information flows over time from States to the Directorate of Economics & Statistics. | 665 | definition | 1.000 | These estimates are “advance” in the sense that these have been prepared in advance of availability of results of CCE (Crop Cutting Experiments) and are subject to revision as more precise information flows over time from States to the Directorate of Economics & Statistics. | ||||
| What methodology is used for poverty estimates? | based on the methodology suggested by the 'Expert Group on Methodology for estimation of poverty', chaired by Dr | 1. Poverty estimates are based on the methodology suggested by the 'Expert Group on Methodology for estimation of poverty', chaired by Dr. Suresh.D. | 25 | definition | 0.980 | Poverty estimates are based on the methodology suggested by the 'Expert Group on Methodology for estimation of poverty', chaired by Dr. | 40 | page=40,block=3 | 0.850 | valid |
| What is Family Labour(FL)? | calculated on the basis of statuory wage rate or the actual | Cost C2 includes all actual expenses in cash & kind incurred in production by owner, interest on value of owned fixed capital assets(excluding land), rental value of owned land(net of land revenue) and imputed value of family labour. Family Labour(FL) is calculated on the basis of statuory wage rate or the actual | 255 | definition | 0.980 | Family Labour(FL) is calculated on the basis of statuory wage rate or the actual | 170 | page=170,block=5 | 0.850 | valid |
| What is Yield Yield rate? | defined as production per unit of area | These estimates are “advance” in the sense that these have been prepared in advance of availability of results of CCE (Crop Cutting Experiments) and are subject to revision as more precise information flows over time from States to the Directorate of Economics & Statistics. Yield Yield rate is defined as production per unit of area. However, yield rates of various crops given in this publication may not exactly tally with the ratio of production to the corresponding area because figures of area and production of various crops have been generally rounded off in ten thousands. | 295 | definition | 0.980 | Yield Yield rate is defined as production per unit of area. | 317 | page=317,block=1 | 0.850 | valid |
Read straight from the file — download or use the API URL for the full dataset.
| page=26,block=1 |
| 0.700 |
| valid |
| 0.700 |
| valid |
| 317 |
| page=317,block=1 |
| 0.700 |
| valid |