245 extractive question-and-answer pairs built from October, 2022, 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. 115 of the 245 pairs (46.9%) are explanatory questions and 130 restate a figure. 96.33% of rows pass the corpus quality gate.
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import desidata
df = desidata.load("agricultural-statistics-and-insights-october-2022-question-and-answer-dataset")
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Strong coverage with minor gaps in documentation or freshness.
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First 10 of 245 rows
| question | answer | context | answer_start | question_type | knowledge_quality_score | source_quote | source_page | source_location | confidence | validation_status |
|---|---|---|---|---|---|---|---|---|---|---|
| What role do pulses play in people's diets worldwide? | an essential part of many people’s diets worldwide | Pulses are an essential part of many people’s diets worldwide. They have enormous potential to improve human health, conserve our soils, protect the environment, and contribute to global food security (FAO, 2016; Mohanty and Satyasai, 2015; Calles, 2016). | 11 | definition | 1.000 | Pulses are an essential part of many people’s diets worldwide. | 28 | page=28,block=9 | 0.850 | valid |
| What is the main objective of the Regional Committee? | to examine the major gaps in the current research and training efforts in agriculture, animal husbandry and fisheries | The purpose of the Regional Committee is to provide a forum to the researchers and the State Government functionaries to examine the major gaps in the current research and training efforts in agriculture, animal husbandry and fisheries; to identify priorities; and to decide agenda of research and extension education in different agro- ecological regions of the country for the coming two years. A research agenda of national relevance in the areas of agricultural technology assessment, refinement and transfer is set up for discussion in the regular meetings of the Regional Committee, which is held once in two years. Coconut Community Farmers’ Conference Hon’ble Union Minister for Agriculture and Farmers Welfare, Shri Narendra Singh Tomar addressed the Coconut Community Farmers’ Conference in Coimbatore, Tamil Nadu on 14th October, 2022. | 118 | definition | 1.000 | The purpose of the Regional Committee is to provide a forum to the researchers and the State Government functionaries to examine the major gaps in the current research and training efforts in agriculture, animal husbandry and fisheries; to identify priorities; and to decide agenda of research and extension education in different agro- ecological regions of the country for the coming two years. | ||||
| What is used as the leadership criterion for identifying markets? | Difference between number of Granger-causing markets and Granger-caused markets as % of total number of markets | Strongly integrated leading market (SILM) Weakly integrated leading market (WILM) Strongly integrated peripheral market (SIPM) Weakly integrated peripheral market (WIPM) Strongly integrated following market (SIFM) Weakly integrated following market (WIFM) Leadership criterion – Difference between number of Granger-causing markets and Granger-caused markets as % of total number of markets Integration criterion – Total number of Granger-causing PLUS Granger-caused markets Stage 1: Based on market arrivals data Peripheral market – if the percentage is >=0 but <5% Following market – if the percentage is <0% (negative) Leading market – if the percentage is >=5% Weakly integrated – if total number of integrated markets is < median value Strongly integrated – if total number of integrated markets is >= median value Stage 2: Application of VAR models to price data Identification of smaller sub-set of markets Weekly data available for at least 75% of the study period 90% of the market arrivals in at least 7 out of 10 years Source: Designed by author Stage 2: Identification of the nodal markets based on prices From the set of markets identified in Stage 1, a smaller set of important nodal markets is identified using the Vector Auto Regression (VAR) and Granger-causality (GC), through the use of high- frequency weekly data on prices. | ||||||||
| What is the criterion for determining market integration? | Total number of Granger-causing PLUS Granger-caused markets | Strongly integrated leading market (SILM) Weakly integrated leading market (WILM) Strongly integrated peripheral market (SIPM) Weakly integrated peripheral market (WIPM) Strongly integrated following market (SIFM) Weakly integrated following market (WIFM) Leadership criterion – Difference between number of Granger-causing markets and Granger-caused markets as % of total number of markets Integration criterion – Total number of Granger-causing PLUS Granger-caused markets Stage 1: Based on market arrivals data Peripheral market – if the percentage is >=0 but <5% Following market – if the percentage is <0% (negative) Leading market – if the percentage is >=5% Weakly integrated – if total number of integrated markets is < median value Strongly integrated – if total number of integrated markets is >= median value Stage 2: Application of VAR models to price data Identification of smaller sub-set of markets Weekly data available for at least 75% of the study period 90% of the market arrivals in at least 7 out of 10 years Source: Designed by author Stage 2: Identification of the nodal markets based on prices From the set of markets identified in Stage 1, a smaller set of important nodal markets is identified using the Vector Auto Regression (VAR) and Granger-causality (GC), through the use of high- frequency weekly data on prices. | ||||||||
| What does the term 'pit' represent in the VAR model? | the price in market i in time t | . . T. where, pit is the price in market i in time t Aij is a matrix of coefficients to be estimated xit is the vector of other covariates (market arrivals in this study) eit is a vector of innovations that may be contemporaneously correlated but are uncorrelated with their own lagged values and uncorrelated with all of the right-hand side variables. E(eit) = 0; E(eiteit) = S (a positive semi definite matrix) for all t = t and E(eiteit) = 0 for all t ≠ t. The lag order p is selected using the Schwarz information criterion. | 21 | definition | 1.000 | where, pit is the price in market i in time t Aij is a matrix of coefficients to be estimated xit is the vector of other covariates (market arrivals in this study) eit is a vector of innovations that may be contemporaneously correlated but are uncorrelated with their own lagged values and uncorrelated with all of the right-hand side variables. | 38 | page=38,block=6 | 0.700 | valid |
| What is Agricultural growth? | measured in terms of value of district domestic product (DDP) at constant prices of 2011-12 | Agricultural growth is measured in terms of value of district domestic product (DDP) at constant prices of 2011-12. The growth rate of agriculture during the period 2011-12 and 2019-20 in Uttar Pradesh was 2.55 percent per annum. | 23 | definition | 0.980 | Agricultural growth is measured in terms of value of district domestic product (DDP) at constant prices of 2011-12. | 18 | page=18,block=3 | 0.850 | valid |
| What are There? | a total of 169 tomato markets, 211 onion markets and 180 potato markets for which data is available in the database | The study uses secondary data on weekly market arrivals and prices of these three perishable commodities from the AGMARKNET database for the period from January, 2010 to December, 2019. There are a total of 169 tomato markets, 211 onion markets and 180 potato markets for which data is available in the database. In the first stage based on market arrivals, 32 tomato markets, 25 onion markets and 29 potato markets were identified as major markets. | 196 | definition | 0.980 | There are a total of 169 tomato markets, 211 onion markets and 180 potato markets for which data is available in the database. | 36 | page=36,block=6 | 0.850 | valid |
| What is market? | classified into two categories based on criterion 1 – weakly integrated and strongly integrated | i) Integration criterion: Total number of markets integrated (with this market) = x+y ii) Leadership criterion: Number of markets Granger-caused by this market relative to total number of markets = (x-y)/total number of markets. A market is classified into two categories based on criterion 1 – weakly integrated and strongly integrated. A market is ‘weakly integrated’ if the total number of markets it is integrated with is less than the median value (of integrated markets). | 241 | definition | 0.980 | A market is classified into two categories based on criterion 1 – weakly integrated and strongly integrated. | 39 | page=39,block=2 | 0.850 | valid |
| What is the Pusa decomposer described as? | the cheapest and most effective solution for crop residue management | Effective control in these four states will also help contain the problem from spreading to other states. If we work with holistic efforts in a planned manner, the availability of fodder for cattle will also be easy. Shri Tomar said that a workshop is being organized in Pusa, Delhi on 4th November, in which farmers from Punjab and adjoining areas have been called for this purpose, senior officers of Punjab should also participate in this workshop so that their doubts regarding the Pusa decomposer are cleared. Shri Tomar said that Pusa decomposer is the cheapest and most effective solution for crop residue management, which needs to be promoted. | 555 | definition | 0.980 | Shri Tomar said that Pusa decomposer is the cheapest and most effective solution for crop residue management, which needs to be promoted. | 8 | page=8,block=0 | 0.700 | valid |
| Why would addressing stubble burning in Amritsar and Tarn Taran districts significantly help? | these two districts are facing the maximum problem | If the State Governments also work diligently in the same way, it will bring good results. Especially, if effective checking is done on stubble burning in Amritsar and Tarn Taran districts of Punjab, then half the job will be done, because these two districts are facing the maximum problem. Effective control in these four states will also help contain the problem from spreading to other states. | 240 | relationship | 0.970 | Especially, if effective checking is done on stubble burning in Amritsar and Tarn Taran districts of Punjab, then half the job will be done, because these two districts are facing the maximum problem. | 8 | page=8,block=0 | 0.800 | valid |
Read straight from the file — download or use the API URL for the full dataset.
| 5 |
| page=5,block=5 |
| 0.700 |
| valid |
| 279 |
| definition |
| 1.000 |
| Strongly integrated leading market (SILM) Weakly integrated leading market (WILM) Strongly integrated peripheral market (SIPM) Weakly integrated peripheral market (WIPM) Strongly integrated following market (SIFM) Weakly integrated following market (WIFM) Leadership criterion – Difference between number of Granger-causing markets and Granger-caused markets as % of total number of markets Integration criterion – Total number of Granger-causing PLUS Granger-caused markets Stage 1: Based on market arrivals data Peripheral market – if the percentage is >=0 but <5% Following market – if the |
| 38 |
| page=38,block=6 |
| 0.700 |
| valid |
| 415 |
| definition |
| 1.000 |
| Strongly integrated leading market (SILM) Weakly integrated leading market (WILM) Strongly integrated peripheral market (SIPM) Weakly integrated peripheral market (WIPM) Strongly integrated following market (SIFM) Weakly integrated following market (WIFM) Leadership criterion – Difference between number of Granger-causing markets and Granger-caused markets as % of total number of markets Integration criterion – Total number of Granger-causing PLUS Granger-caused markets Stage 1: Based on market arrivals data Peripheral market – if the percentage is >=0 but <5% Following market – if the |
| 38 |
| page=38,block=6 |
| 0.700 |
| valid |