NJU-LINK/TVIR-Bench huggingface dataset:
As a senior policy advisor at the Association of American Universities (AAU), I need to prepare a comprehensive report on the impact of AI talent migration from academia to industry on North American higher education systems, to inform strategic recommendations for member institutions amid ongoing faculty shortages and research funding challenges. The report must systematically cover these dimensions: (1) Migration Trends and Drivers: What are the key patterns in AI faculty departures from North American universities to industry between 2023 and 2025? How do salary disparities, industry incentives, and academic workload pressures contribute to this brain drain, and what specific evidence from surveys and reports published in 2024-2025 illustrates the relative influence of these drivers? Draw a bar chart comparing departure rates across top-tier institutions. (2) Impacts on Academic Institutions: How has the outflow of AI talent from universities to industry affected overall research output? What are the consequences for undergraduate and graduate education? Plot a line chart tracking changes in AI PhD graduation rates and faculty-to-student ratios in select North American universities, identifying any regional disparities. (3) Broader Ecosystem Effects and Conflicts: In what ways has the migration of AI faculty to industry influenced patterns of university-industry collaborations? What are the primary benefits and drawbacks of these evolving collaborations as demonstrated in case studies and analyses from 2023-2025? How do differing stakeholder views reveal unresolved tensions regarding the long-term health of the academic AI ecosystem? (4) Mitigation Strategies and Recommendations: What effective countermeasures have been implemented in 2023-2025 and how do their outcomes vary? Propose 2-3 prioritized policy interventions for AAU members, grounded in multi-source evidence, to stem the drain while fostering sustainable talent pipelines.

评估清单 / Evaluation checklist:
Migration Trends and Drivers Analysis: Does the report analyze key patterns in AI faculty departures from North American universities to industry between 2023 and 2025?
Does it include a bar chart comparing departure rates across top-tier institutions?
Impacts on Academic Institutions Evaluation: Does the report evaluate how the outflow of AI talent from universities to industry has affected overall research output?
Does it include a line chart tracking changes in AI PhD graduation rates and faculty-to-student ratios in select North American universities, identifying any regional disparities?
Broader Ecosystem Effects and Conflicts Discussion: Does the report discuss how the migration of AI faculty to industry has influenced patterns of university-industry collaborations?
Does it analyze differing stakeholder views revealing unresolved tensions regarding the long-term health of the academic AI ecosystem?
Mitigation Strategies and Recommendations Proposal: Does the report propose 2-3 prioritized policy interventions for AAU members to stem the drain while fostering sustainable talent pipelines?
Are these proposals grounded in multi-source evidence?
As a senior geopolitical analyst at a Washington-based think tank, I need to compile a deep research report on the U.S. military airstrikes on Venezuela to assess implications for hemispheric stability in 2026. Please focus on the January 3, 2026, strikes and the preceding buildup from 2023–2025, systematically covering these dimensions: (1) Buildup and Triggers: Analyze key escalations, including the September 2025 maritime skirmishes and the December 2025 drone operations against coastal infrastructure. How did allegations of transnational drug trafficking justify these actions under the 2025 U.S. National Security Strategy? Plot a timeline chart, display key 2023–2025 buildup events leading to the January 2026 strikes. (2) Operational Impact: Evaluate the targeting of integrated air defense systems and the logistical role played by regional allies like Colombia. Analyze the immediate humanitarian fallout, including displacement reports from the Zulia and Falcón regions. Draw a scatter plot correlating strike intensity with reported civilian displacement rates across primary target zones. (3) Diplomatic Fallout: Contrast the 2026 UN Security Council condemnations with the varying responses from the OAS and the "BRICS+" bloc. Identify the impact of intensified secondary sanctions on regional energy trade. Use a table comparing the 2024 vs. 2026 diplomatic stances of China, Russia, and Brazil regarding Venezuelan sovereignty. (4) Long-term Consequences and Policy: Forecast 2026–2030 risks, specifically the potential for a protracted proxy conflict or a total collapse of the Caribbean migration framework following the reported capture of key regime figures. Propose a trilateral de-escalation path involving neutral Caribbean mediators. Draw a radar chart evaluating the 2026 regional stability outlook across five metrics: refugee flow control, energy market volatility, insurgent activity, diplomatic isolation, and food security.

评估清单 / Evaluation checklist:
Buildup and Triggers Analysis: Does the report analyze key escalations leading to the January 2026 strikes?
Does it include a timeline chart displaying key 2023–2025 buildup events?
Operational Impact Evaluation: Does the report evaluate the targeting of integrated air defense systems and the logistical role played by regional allies like Colombia?
Does it include a scatter plot correlating strike intensity with reported civilian displacement rates across primary target zones?
Diplomatic Fallout Contrast: Does the report contrast the 2026 UN Security Council condemnations with varying responses from the OAS and the 'BRICS+' bloc?
Does it include a table comparing the 2024 vs. 2026 diplomatic stances of China, Russia, and Brazil regarding Venezuelan sovereignty?
Long-term Consequences and Policy Forecast: Does the report forecast 2026–2030 risks related to the strikes?
Does it propose a trilateral de-escalation path involving neutral Caribbean mediators?
Does it include a radar chart evaluating the 2026 regional stability outlook across five metrics?
As a senior tourism development officer at the Singapore Tourism Board, I need to compile an analytical report on "Swiftonomics"—the economic ripple effects of Taylor Swift's Eras Tour from 2023 to 2025—to inform strategies for attracting similar mega-entertainment events amid post-pandemic recovery and competition from regional hubs. The report must systematically cover these dimensions: (1) Tour-Driven Economic Boosts: What were the primary quantifiable impacts on the gross domestic product of host cities and the associated economic multipliers stemming from fan travel patterns during the tour? How did the international segments of the tour enhance regional tourism revenues in comparison to the domestic stops within the United States, drawing specifically on metrics from 2024 and 2025? Draw a bar chart comparing average per-concert economic contributions across continents, annotated with timestamps and sources. (2) Tourism and Hospitality Dynamics: How did the tour catalyze "Swiftie tourism", including hotel occupancy surges and ancillary spending on dining/merchandise? What specific case studies from 2023 through 2025 demonstrate emerging demographic trends among visitor profiles, and how do these trends differ across various global regions? Cite representative images of fan gatherings at iconic venues like Singapore's National Stadium to illustrate crowd scales and local integrations. (3) Broader Entertainment Industry Effects: How has Swiftonomics influenced event marketing and artist tours, per 2024 industry whitepapers? What challenges, like infrastructure strains or economic inequality in benefits, emerge from critiques? (4) Strategic Implications and Suggestions: What lessons from the synthesized trends can be applied to non-music events in the context of tourism development? Propose 2-3 initiatives for Singapore grounded in evidence.

评估清单 / Evaluation checklist:
Tour-Driven Economic Boosts Analysis: Does the report analyze the primary quantifiable impacts on the gross domestic product of host cities from the Eras Tour?
Does it include a bar chart comparing average per-concert economic contributions across continents?
Tourism and Hospitality Dynamics Evaluation: Does the report evaluate how the tour catalyzed 'Swiftie tourism', including hotel occupancy surges and ancillary spending?
Does it cite representative images of fan gatherings at iconic venues like Singapore's National Stadium?
Broader Entertainment Industry Effects Discussion: Does the report discuss how Swiftonomics has influenced event marketing and artist tours based on 2024 industry whitepapers?
Does it analyze challenges like infrastructure strains or economic inequality in benefits?
Strategic Implications and Suggestions Proposal: Does the report propose 2-3 initiatives for Singapore grounded in evidence from the synthesized trends?
Are these initiatives applicable to non-music events in the context of tourism development?