14 extractive question-and-answer pairs built from A spatial assessment of agricultural vulnerability to climate change using multidimensional data in Maharashtra state of India | The Indian Journal of Agricultural Sciences, published by epubs.icar.org.in. Source-evidenced topics include agricultural vulnerability, climate change, maharashtra, spatial assessment, multidimensional data, ipcc 2007 framework, composite agricultural vulnerability index (cavi), marathwada. 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: 8 factual, 3 list, 2 relationship, 1 summary. 6 of the 14 pairs (42.9%) ask explanatory questions; the remaining 8 are factual or table-based questions. 100.00% of rows pass the corpus quality gate.
This dataset contains 14 question-and-answer pairs derived from a study on agricultural vulnerability to climate change in Maharashtra, India. The analysis uses the IPCC 2007 framework and multidimensional data to assess exposure, sensitivity, and adaptive capacity across 34 districts. Key findings include regional differences in vulnerability, with the Konkan region and parts of Vidarbha showing lower vulnerability due to better adaptive capacity. Recommendations for enhancing resilience include adjusting crop planning to local climatic conditions.
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import desidata
df = desidata.load("epubs-icar-org-in-002a528fec38b77a220992d1746b8f62")
df.head()First 10 of 14 rows
| question | answer | context | answer_start | question_type | knowledge_quality_score | source_document | source_quote | source_page | source_location | confidence | validation_status |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Under what conditions does the Indian Council of Agricultural Research allow the use of material from The Indian Journal of Agricultural Sciences? | provided the information is not being utilized for commercial purposes and wherever the information is being used, proper credit is given to ICAR | This work is licensed under aCreative Commons Attribution-NonCommercial-ShareAlike 4. International License. The copyright of the articles published inThe Indian Journal of Agricultural Sciencesis vested with the Indian Council of Agricultural Research, which reserves the right to enter into any agreement with any organization in India or abroad, for reprography, photocopying, storage and dissemination of information. The Council has no objection to using the material, provided the information is not being utilized for commercial purposes and wherever the information is being used, proper credit is given to ICAR. Print ISSN:0019-5022Online ISSN:2394-3319NAAS Rating (2026):6.7WoS Impact Factor (June 2026):0. Indexedin Elsevier Scopus, Clarivate Analytics ESCI, DOAJ.Plagiarism checkby iThenticate.The work is licensed underAttribution-NonCommercial-NoDerivatives 4. | 474 | relationship | 0.970 | https://epubs.icar.org.in/index.php/IJAgS/article/view/152381 | The Council has no objection to using the material, provided the information is not being utilized for commercial purposes and wherever the information is being used, proper credit is given to ICAR. | p[20] | 0.700 | valid | |
| Why do some regions exhibit lower vulnerability to climate change? | due to factors such as lower potential crop loss and better adaptive capacity | Ahmednagar exhibited the highest sensitivity (0.70), while Nagpur showed the lowest sensitivity (0.34) to climate change. Regarding adaptive capacity, Pune demonstrated the highest resilience (0.57) and Sindhudurg displayed the lowest score (0.23). CAVI highlighted that the Konkan region, along with western Maharashtra and eastern parts of Vidarbha, exhibited relatively lower vulnerability to climate change, due to factors such as lower potential crop loss and better adaptive capacity. Marathwada and western Vidarbha regions were more vulnerable, facing significant crop production losses and higher exposure to climate variability. to build resilience to climate change and reduce crop production losses, crop planning needs to be adjusted according to the climatic conditions in these regions. | 412 | relationship | 0.970 | https://epubs.icar.org.in/index.php/IJAgS/article/view/152381 | CAVI highlighted that the Konkan region, along with western Maharashtra and eastern parts of Vidarbha, exhibited relatively lower vulnerability to climate change, due to factors such as lower potential crop loss and better adaptive capacity. | ||||
| What changes are recommended to enhance resilience to climate change in vulnerable regions? | crop planning needs to be adjusted according to the climatic conditions in these regions | Ahmednagar exhibited the highest sensitivity (0.70), while Nagpur showed the lowest sensitivity (0.34) to climate change. Regarding adaptive capacity, Pune demonstrated the highest resilience (0.57) and Sindhudurg displayed the lowest score (0.23). CAVI highlighted that the Konkan region, along with western Maharashtra and eastern parts of Vidarbha, exhibited relatively lower vulnerability to climate change, due to factors such as lower potential crop loss and better adaptive capacity. Marathwada and western Vidarbha regions were more vulnerable, facing significant crop production losses and higher exposure to climate variability. to build resilience to climate change and reduce crop production losses, crop planning needs to be adjusted according to the climatic conditions in these regions. | 712 | summary | 0.970 | https://epubs.icar.org.in/index.php/IJAgS/article/view/152381 | to build resilience to climate change and reduce crop production losses, crop planning needs to be adjusted according to the climatic conditions in these regions. | ||||
| Which indexing organizations include The Indian Journal of Agricultural Sciences? | Elsevier Scopus, Clarivate Analytics ESCI, DOAJ | This work is licensed under aCreative Commons Attribution-NonCommercial-ShareAlike 4. International License. The copyright of the articles published inThe Indian Journal of Agricultural Sciencesis vested with the Indian Council of Agricultural Research, which reserves the right to enter into any agreement with any organization in India or abroad, for reprography, photocopying, storage and dissemination of information. The Council has no objection to using the material, provided the information is not being utilized for commercial purposes and wherever the information is being used, proper credit is given to ICAR. Print ISSN:0019-5022Online ISSN:2394-3319NAAS Rating (2026):6.7WoS Impact Factor (June 2026):0. Indexedin Elsevier Scopus, Clarivate Analytics ESCI, DOAJ.Plagiarism checkby iThenticate.The work is licensed underAttribution-NonCommercial-NoDerivatives 4. | 727 | list | 0.820 | https://epubs.icar.org.in/index.php/IJAgS/article/view/152381 | Indexedin Elsevier Scopus, Clarivate Analytics ESCI, DOAJ.Plagiarism checkby iThenticate.The work is licensed underAttribution-NonCommercial-NoDerivatives 4. | ||||
| Which regions were identified as having lower vulnerability to climate change? | the Konkan region, along with western Maharashtra and eastern parts of Vidarbha | Ahmednagar exhibited the highest sensitivity (0.70), while Nagpur showed the lowest sensitivity (0.34) to climate change. Regarding adaptive capacity, Pune demonstrated the highest resilience (0.57) and Sindhudurg displayed the lowest score (0.23). CAVI highlighted that the Konkan region, along with western Maharashtra and eastern parts of Vidarbha, exhibited relatively lower vulnerability to climate change, due to factors such as lower potential crop loss and better adaptive capacity. Marathwada and western Vidarbha regions were more vulnerable, facing significant crop production losses and higher exposure to climate variability. to build resilience to climate change and reduce crop production losses, crop planning needs to be adjusted according to the climatic conditions in these regions. | 271 | list | 0.820 | https://epubs.icar.org.in/index.php/IJAgS/article/view/152381 | CAVI highlighted that the Konkan region, along with western Maharashtra and eastern parts of Vidarbha, exhibited relatively lower vulnerability to climate change, due to factors such as lower potential crop loss and better adaptive capacity. | ||||
| What are the print and online ISSN numbers for The Indian Journal of Agricultural Sciences? | Print ISSN:0019-5022Online ISSN:2394-3319 | This work is licensed under aCreative Commons Attribution-NonCommercial-ShareAlike 4. International License. The copyright of the articles published inThe Indian Journal of Agricultural Sciencesis vested with the Indian Council of Agricultural Research, which reserves the right to enter into any agreement with any organization in India or abroad, for reprography, photocopying, storage and dissemination of information. The Council has no objection to using the material, provided the information is not being utilized for commercial purposes and wherever the information is being used, proper credit is given to ICAR. Print ISSN:0019-5022Online ISSN:2394-3319NAAS Rating (2026):6.7WoS Impact Factor (June 2026):0. Indexedin Elsevier Scopus, Clarivate Analytics ESCI, DOAJ.Plagiarism checkby iThenticate.The work is licensed underAttribution-NonCommercial-NoDerivatives 4. | 621 | list | 0.740 | https://epubs.icar.org.in/index.php/IJAgS/article/view/152381 | The Council has no objection to using the material, provided the information is not being utilized for commercial purposes and wherever the information is being used, proper credit is given to ICAR. Print ISSN:0019-5022Online ISSN:2394-3319NAAS Rating (2026):6.7WoS Impact Factor (June 2026):0. | ||||
| Which district had the highest resilience in terms of adaptive capacity? | Pune demonstrated the highest resilience (0.57) | Ahmednagar exhibited the highest sensitivity (0.70), while Nagpur showed the lowest sensitivity (0.34) to climate change. Regarding adaptive capacity, Pune demonstrated the highest resilience (0.57) and Sindhudurg displayed the lowest score (0.23). CAVI highlighted that the Konkan region, along with western Maharashtra and eastern parts of Vidarbha, exhibited relatively lower vulnerability to climate change, due to factors such as lower potential crop loss and better adaptive capacity. Marathwada and western Vidarbha regions were more vulnerable, facing significant crop production losses and higher exposure to climate variability. to build resilience to climate change and reduce crop production losses, crop planning needs to be adjusted according to the climatic conditions in these regions. | 151 | factual | 0.570 | https://epubs.icar.org.in/index.php/IJAgS/article/view/152381 | Regarding adaptive capacity, Pune demonstrated the highest resilience (0.57) and Sindhudurg displayed the lowest score (0.23). | p[0] | 0.700 | ||
| Which district had the lowest score for adaptive capacity? | Sindhudurg displayed the lowest score (0.23) | Ahmednagar exhibited the highest sensitivity (0.70), while Nagpur showed the lowest sensitivity (0.34) to climate change. Regarding adaptive capacity, Pune demonstrated the highest resilience (0.57) and Sindhudurg displayed the lowest score (0.23). CAVI highlighted that the Konkan region, along with western Maharashtra and eastern parts of Vidarbha, exhibited relatively lower vulnerability to climate change, due to factors such as lower potential crop loss and better adaptive capacity. Marathwada and western Vidarbha regions were more vulnerable, facing significant crop production losses and higher exposure to climate variability. to build resilience to climate change and reduce crop production losses, crop planning needs to be adjusted according to the climatic conditions in these regions. | 203 | factual | 0.570 | https://epubs.icar.org.in/index.php/IJAgS/article/view/152381 | Regarding adaptive capacity, Pune demonstrated the highest resilience (0.57) and Sindhudurg displayed the lowest score (0.23). | p[0] | 0.700 | valid | |
| Who owns the copyright for articles published in The Indian Journal of Agricultural Sciences? | the Indian Council of Agricultural Research | This work is licensed under aCreative Commons Attribution-NonCommercial-ShareAlike 4. International License. The copyright of the articles published inThe Indian Journal of Agricultural Sciencesis vested with the Indian Council of Agricultural Research, which reserves the right to enter into any agreement with any organization in India or abroad, for reprography, photocopying, storage and dissemination of information. The Council has no objection to using the material, provided the information is not being utilized for commercial purposes and wherever the information is being used, proper credit is given to ICAR. Print ISSN:0019-5022Online ISSN:2394-3319NAAS Rating (2026):6.7WoS Impact Factor (June 2026):0. Indexedin Elsevier Scopus, Clarivate Analytics ESCI, DOAJ.Plagiarism checkby iThenticate.The work is licensed underAttribution-NonCommercial-NoDerivatives 4. | 209 | factual | 0.570 | https://epubs.icar.org.in/index.php/IJAgS/article/view/152381 | The copyright of the articles published inThe Indian Journal of Agricultural Sciencesis vested with the Indian Council of Agricultural Research, which reserves the right to enter into any agreement with any organization in India or abroad, for reprography, photocopying, storage and dissemination of information. | ||||
| Which district in Maharashtra was found to have the highest level of exposure to climate variations? | Sangali | This study aims to examine district-level agricultural vulnerability in the semi-arid and drought-prone state of Maharashtra. Using a multidimensional approach, suitable indicators for 34 districts were selected under exposure, sensitivity and adaptive capacity, aligning with the IPCC 2007 framework for vulnerability assessment. The analysis used temperature and rainfall data spanning 50 years (1968–2017). It also incorporated area and yield data from 2011 to 2020, along with other indicators for the year 2019–20. The composite agricultural vulnerability index (CAVI) score was obtained using proper normalization and assigning weights. The study revealed that the Marathwada and Vidarbha regions reported higher potential crop losses. Among the districts, Sangali was the most exposed (0.57), while Jalgaon was the least exposed (0.31) to climate variations. | 763 | factual | 0.490 | https://epubs.icar.org.in/index.php/IJAgS/article/view/152381 | Among the districts, Sangali was the most exposed (0.57), while Jalgaon was the least exposed (0.31) to climate variations. | p[0] |
Read straight from the file — download or use the API URL for the full dataset.
| p[0] |
| 0.700 |
| valid |
| p[0] |
| 0.700 |
| valid |
| p[20] |
| 0.700 |
| valid |
| p[0] |
| 0.700 |
| valid |
| p[20] |
| 0.700 |
| valid |
| valid |
| p[20] |
| 0.700 |
| valid |
| 0.700 |
| valid |