202 extractive question-and-answer pairs built from 1.1 Introduction, 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. 80 of the 202 pairs (39.6%) are explanatory questions and 122 restate a figure. 99.01% of rows pass the corpus quality gate.
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import desidata
df = desidata.load("agricultural-statistics-at-a-glance-2015-question-and-answer-dataset")
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Strong coverage with minor gaps in documentation or freshness.
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First 10 of 202 rows
| question | answer | context | answer_start | question_type | knowledge_quality_score | source_quote | source_page | source_location | confidence | validation_status |
|---|---|---|---|---|---|---|---|---|---|---|
| What happened to a large ship near the Wakalapudi beach in East Godavari district? | carried away by the waves along the Wakalapudi beach near lakinada 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 lakinada 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 lakinada of East Godavari district. | 461 | page=461,block=1 | 0.850 | valid |
| What type of sampling design is typically used for GCES? | Stratified multi-stage random sampling design | 1. Sampling Design Stratified multi-stage random sampling design is generally adopted for carrying out GCES with tehsils/ taluks/ revenue inspector circles/ CD blocks/ anchals, etc., as strata, revenue villages within a stratum as first stage unit of sampling, survey numbers/fields within each selected village as sampling unit at the second stage and experimental plot of a specified shape and size as the ultimate unit of sampling as depicted in figure 1. Tehsil / Taluk ↓ Revenue Village ↓ Survey Number / Field ↓ Experimental Plot (Specified size / shape) | 19 | definition | 1.000 | Sampling Design Stratified multi-stage random sampling design is generally adopted for carrying out GCES with tehsils/ taluks/ revenue inspector circles/ CD blocks/ anchals, etc., as strata, revenue villages within a stratum as first stage unit of sampling, survey numbers/fields within each selected village as sampling unit at the second stage and experimental plot of a specified shape and size as the ultimate unit of sampling as depicted in figure 1. | 31 | page=31,block=1 | 0.700 | valid |
| What is the method for calculating the net availability of foodgrains? | Gross Production (-) seed, feed & wastage, (-) exports (+) imports(+/-) change in stocks | Per Capita Net Availability 279 Note:- The net availability of foodgrains is estimated to be Gross Production (-) seed, feed & wastage, (-) exports (+) imports(+/-) change in stocks. The net availability of foodgrains divided by the population estimates for a particular year indicate per capita availability of foodgrains in terms of kg/year. Net availability, thus worked out further divided by the number of days in a year, i.e., 365 days gives us net availability of foodgrains in terms of grams / day. Figures in respect of per capita net availability given above are not strictly representative of actual level of consumption in the country especially as they do not take in to account any change in stocks in possession of traders, producers and consumers. Foodgrains includes rice, wheat, other cereals and all pulses P- Provisional | 93 | definition | 1.000 | Per Capita Net Availability 279 Note:- The net availability of foodgrains is estimated to be Gross Production (-) seed, feed & wastage, (-) exports (+) imports(+/-) change in stocks. | 306 | page=306,block=0 | ||
| How is the per capita availability of foodgrains in kilograms per year determined? | The net availability of foodgrains divided by the population estimates for a particular year | Per Capita Net Availability 279 Note:- The net availability of foodgrains is estimated to be Gross Production (-) seed, feed & wastage, (-) exports (+) imports(+/-) change in stocks. The net availability of foodgrains divided by the population estimates for a particular year indicate per capita availability of foodgrains in terms of kg/year. Net availability, thus worked out further divided by the number of days in a year, i.e., 365 days gives us net availability of foodgrains in terms of grams / day. Figures in respect of per capita net availability given above are not strictly representative of actual level of consumption in the country especially as they do not take in to account any change in stocks in possession of traders, producers and consumers. Foodgrains includes rice, wheat, other cereals and all pulses P- Provisional | 183 | definition | 1.000 | Per Capita Net Availability 279 Note:- The net availability of foodgrains is estimated to be Gross Production (-) seed, feed & wastage, (-) exports (+) imports(+/-) change in stocks. The net availability of foodgrains divided by the population estimates for a particular year indicate per capita availability of foodgrains in terms of kg/year. | ||||
| How is the daily per capita availability of foodgrains determined? | Net availability, thus worked out further divided by the number of days in a year, i.e., 365 days | Per Capita Net Availability 279 Note:- The net availability of foodgrains is estimated to be Gross Production (-) seed, feed & wastage, (-) exports (+) imports(+/-) change in stocks. The net availability of foodgrains divided by the population estimates for a particular year indicate per capita availability of foodgrains in terms of kg/year. Net availability, thus worked out further divided by the number of days in a year, i.e., 365 days gives us net availability of foodgrains in terms of grams / day. Figures in respect of per capita net availability given above are not strictly representative of actual level of consumption in the country especially as they do not take in to account any change in stocks in possession of traders, producers and consumers. Foodgrains includes rice, wheat, other cereals and all pulses P- Provisional | 344 | definition | 1.000 | The net availability of foodgrains divided by the population estimates for a particular year indicate per capita availability of foodgrains in terms of kg/year. Net availability, thus worked out further divided by the number of days in a year, i.e., 365 days gives us net availability of foodgrains in terms of grams / day. | ||||
| How is the index number of area for a sub-group of commodities calculated? | ∑wi IAij iєG. ∑w iєG | For the the year j, individual crop indices are calculated as below : (a) Index number of area = aij X100 = IAij aio (b) Index number of production = pij X100 = IPi j Pio (c) Index number of yield = IPij X100 IAij For any sub-group G of commodities, the indices for the year j are calculated as below: (a) Index number of area = ∑wi IAij iєG. ∑w iєG (b) Index number of production = ∑wi IPij iєG. ∑wi iєG (c) Index number of yield = Index number of production X 100 Index number of area | 329 | definition | 1.000 | For the the year j, individual crop indices are calculated as below : (a) Index number of area = aij X100 = IAij aio (b) Index number of production = pij X100 = IPi j Pio (c) Index number of yield = IPij X100 IAij For any sub-group G of commodities, the indices for the year j are calculated as below: (a) Index number of area = ∑wi IAij iєG. ∑w iєG (b) Index number of production = ∑wi IPij iєG. | 481 | page=481,block=1 | 0.700 | valid |
| What formula is used to calculate the index number of production for a sub-group of commodities? | ∑wi IPij iєG. ∑wi iєG | For the the year j, individual crop indices are calculated as below : (a) Index number of area = aij X100 = IAij aio (b) Index number of production = pij X100 = IPi j Pio (c) Index number of yield = IPij X100 IAij For any sub-group G of commodities, the indices for the year j are calculated as below: (a) Index number of area = ∑wi IAij iєG. ∑w iєG (b) Index number of production = ∑wi IPij iєG. ∑wi iєG (c) Index number of yield = Index number of production X 100 Index number of area | 383 | definition | 1.000 | ∑w iєG (b) Index number of production = ∑wi IPij iєG. ∑wi iєG (c) Index number of yield = Index number of production X 100 Index number of area | 481 | page=481,block=1 | 0.700 | valid |
| How is the index number of yield for a sub-group of commodities determined? | Index number of production X 100 Index number of area | For the the year j, individual crop indices are calculated as below : (a) Index number of area = aij X100 = IAij aio (b) Index number of production = pij X100 = IPi j Pio (c) Index number of yield = IPij X100 IAij For any sub-group G of commodities, the indices for the year j are calculated as below: (a) Index number of area = ∑wi IAij iєG. ∑w iєG (b) Index number of production = ∑wi IPij iєG. ∑wi iєG (c) Index number of yield = Index number of production X 100 Index number of area | 433 | definition | 1.000 | ∑wi iєG (c) Index number of yield = Index number of production X 100 Index number of area | 481 | page=481,block=1 | 0.700 | valid |
| What does 'aio' represent in the methodology described? | the area under ith crop in base year period | Weighting Diagram The weight of a commodity for the production index is taken as the average production of the commodity in the TE 2007-08 and the national average price of the commodity during 2006-07 as obtained from the National Accounts Statistics. This has been done to fix the base production at its average level by eliminating the cyclical variation and to evaluate the production with the same price for all states in view of wide variations observed in the state prices. Methodology Let aij - the area under ith crop in the jth year. aio - the area under ith crop in base year period. pij - production of ith crop in the jth year. pio - production of ith crop in base year period. wi - weight of ith crop. | 550 | definition | 1.000 | aio - the area under ith crop in base year period. | 481 | page=481,block=1 | 0.700 | valid |
| What methodology are poverty estimates based on? | based on the methodology suggested by the ‘Expert Group on Methodology for estimation of poverty’, chaired by Dr | Poverty estimates are based on the methodology suggested by the ‘Expert Group on Methodology for estimation of poverty’, chaired by Dr. Suresh.D. | 22 | definition | 0.980 | Poverty estimates are based on the methodology suggested by the ‘Expert Group on Methodology for estimation of poverty’, chaired by Dr. | 54 | page=54,block=0 | 0.850 | valid |
Read straight from the file — download or use the API URL for the full dataset.
| 0.700 |
| valid |
| 306 |
| page=306,block=0 |
| 0.700 |
| valid |
| 306 |
| page=306,block=0 |
| 0.700 |
| valid |