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01indominousx /suicide-ideation-detection Suicide Ideation Detection Dataset Dataset Description This dataset contains 232,000 Reddit posts from r/SuicideWatch, labeled for self-harm intent and suicidal ideation. Dataset Summary Size: 232,000 samples Source: Reddit r/SuicideWatch community (Kaggle) Task: Binary classification (suicidal ideation vs. non-suicidal content) Language: English Data Fields text: The Reddit post content (string) label: Binary label (0 = no suicidal ideation, 1 =… See the full description on the dataset page: https://huggingface.co/datasets/indominousx/suicide-ideation-detection.text100K<n<1M0 likes207 downloads10mo agoHugging Face02yolo1213811 /research-ideation-arena-dataset Research Ideation This repository contains the public data payload for the Research Ideation benchmark, presented in the paper Ideation Arena: Evaluating LLM Generated Research Ideas with Battle-style Human Expert Assessment. The code is available at https://github.com/foss12138/Research-Ideation-Arena. Files final_ideation_results_with_response.json Final pairwise ideation evaluation records with released responses. queries.json Query definitions used by the… See the full description on the dataset page: https://huggingface.co/datasets/yolo1213811/research-ideation-arena-dataset.text-generation1M<n<10M0 likes121 downloads9d agoHugging Face03tintin1027 /research-ideation-arena-si-rm Research Ideation Arena — Scientific Ideation RM Splits Derived from Research Ideation Arena, revision f5704385bd66781d504e44810a9a8b56c1623b7a. Original authors: Zhiyu Chen et al. See the paper and official code. Splits and evaluation caveat Train: 3,047 preference pairs. Test: 500 fixed preference pairs. All remaining pairs from the 3,547-pair filtered pool are assigned to training. Exact sample/pair overlap is zero, but 607 training rows share a connected… See the full description on the dataset page: https://huggingface.co/datasets/tintin1027/research-ideation-arena-si-rm.texttext-classification1K<n<10K0 likes106 downloads8d agoHugging Face04lensy111 /relabelled-suicide-ideation Relabelled Suicide Ideation Dataset Overview This dataset is a relabelled version of the publicly available Suicide Watch dataset, originally introduced in the paper: K. Nikhileswar, D. Vishal, L. Sphoorthi and S. Fathimabi, "Suicide Ideation Detection in Social Media Forums," 2021 2nd International Conference on Smart Electronics and Communication (ICOSEC), Trichy, India, 2021, pp. 1741–1747, doi: 10.1109/ICOSEC51865.2021.9591887 The dataset was obtained from… See the full description on the dataset page: https://huggingface.co/datasets/lensy111/relabelled-suicide-ideation.text-classification100K<n<1M0 likes63 downloads1mo agoHugging Face05stindardlogic /brainstorming-ideation-sft-100k Brainstorming and Ideation SFT (100K) 100,000 ShareGPT conversations demonstrating structured, high-quality brainstorming and ideation across 22 professional domains. Each example takes a realistic context and constraint, then generates specific, actionable, well-reasoned ideas — not generic advice dressed as creativity. Motivation Brainstorming and ideation is one of the highest-value use cases for AI assistants, and one where models routinely underperform:… See the full description on the dataset page: https://huggingface.co/datasets/stindardlogic/brainstorming-ideation-sft-100k.texttext-generation100K<n<1M0 likes57 downloads2mo agoHugging Face06cypsiSAS /transformed_Suicidal_ideationtext10K<n<100K1 likes33 downloads2y agoHugging Face07strategy-scope /si_et_al-ideation-gpt41mini-20260414_230629-ideas si_et_al-ideation-gpt41mini-20260414_230629-ideas Per-idea flat table with LLM-judge scores. Parent: si_et_al-ideation-gpt41mini-20260414_230629 Columns topic: NLP topic idea_index: position within pooled topic idea set run_idx: which of the n_runs generation calls produced this idea idea_text: the generated idea (Problem/Existing Methods/Motivation/Proposed Method/Experiment Plan) overall: 1-10 LLM-judge score (port of ai_researcher/src/idea_direct_score.py)… See the full description on the dataset page: https://huggingface.co/datasets/strategy-scope/si_et_al-ideation-gpt41mini-20260414_230629-ideas.tabularn<1K0 likes13 downloads5mo agoHugging Face08azguo /ideationtext10K<n<100K0 likes8 downloads1y agoHugging Face09ideations2 /StreamRank0 likes8 downloads5mo agoHugging Face10strategy-scope /si_et_al-ideation-gpt41mini-20260414_221654-evaluation si_et_al-ideation-gpt41mini-20260414_221654-evaluation Aggregate per-topic metrics (+ overall row where topic = __overall__). Parent: si_et_al-ideation-gpt41mini-20260414_221654 Run Parameters model: gpt-4.1-mini-2025-04-14 judge_model: gpt-4o-mini-2024-07-18 strategy: none n_ideas_per_run: 5 n_runs: 3 n_topics: 3 rag: False Columns topic / n_ideas mean_{novelty,excitement,feasibility,effectiveness,overall}: LLM-judge means diversity_cosine_{pairwise,nn} /… See the full description on the dataset page: https://huggingface.co/datasets/strategy-scope/si_et_al-ideation-gpt41mini-20260414_221654-evaluation.tabularn<1K0 likes7 downloads5mo agoHugging Face11strategy-scope /si_et_al-ideation-gpt41mini-20260414_223535-ideas si_et_al-ideation-gpt41mini-20260414_223535-ideas Per-idea flat table with LLM-judge scores. Parent: si_et_al-ideation-gpt41mini-20260414_223535 Columns topic: NLP topic idea_index: position within pooled topic idea set run_idx: which of the n_runs generation calls produced this idea idea_text: the generated idea (Problem/Existing Methods/Motivation/Proposed Method/Experiment Plan) overall: 1-10 LLM-judge score (port of ai_researcher/src/idea_direct_score.py)… See the full description on the dataset page: https://huggingface.co/datasets/strategy-scope/si_et_al-ideation-gpt41mini-20260414_223535-ideas.tabularn<1K0 likes7 downloads5mo agoHugging Face12strategy-scope /si_et_al-ideation-gpt5mini-full-20260415_022018-ideas si_et_al-ideation-gpt5mini-full-20260415_022018-ideas Per-idea flat table with LLM-judge scores. Parent: si_et_al-ideation-gpt5mini-full-20260415_022018 Columns topic: NLP topic idea_index: position within pooled topic idea set run_idx: which of the n_runs generation calls produced this idea idea_text: the generated idea (Problem/Existing Methods/Motivation/Proposed Method/Experiment Plan) overall: 1-10 LLM-judge score (port of ai_researcher/src/idea_direct_score.py)… See the full description on the dataset page: https://huggingface.co/datasets/strategy-scope/si_et_al-ideation-gpt5mini-full-20260415_022018-ideas.tabularn<1K0 likes7 downloads5mo agoHugging Face13strategy-scope /si_et_al-ideation-gpt41mini-20260414_233911 si_et_al-ideation-gpt41mini-20260414_233911 Benchmark: si_et_al Generated: 2026-04-14T23:49:15.816891 Parameters model: gpt-4.1-mini-2025-04-14 judge_model: anthropic/claude-sonnet-4-5-20250929 strategy: none n_ideas_per_run: 5 n_runs: 3 n_topics: 7 rag: False Overall Averages Topics: 7 Total ideas: 101 Generation model: gpt-4.1-mini-2025-04-14 Judge model: anthropic/claude-sonnet-4-5-20250929 Runs per topic: 3 Ideas per run: 5 Evaluation protocol: port of… See the full description on the dataset page: https://huggingface.co/datasets/strategy-scope/si_et_al-ideation-gpt41mini-20260414_233911.tabularn<1K0 likes6 downloads5mo agoHugging Face14tax-free /scientific-ideation-diversity Scientific Ideation Diversity Raw data release for the paper "On the Effects of Reasoning Effort and Prompt-Based Diversification on Scientific Ideation Diversity" (Discovery Science 2026). The paper studies how reasoning effort (low/medium/high) and prompt-based diversification (Verbalized Sampling, String Seed of Thought) shift the diversity of LLM-generated scientific ideas across three frontier models — Claude Sonnet 4.6, GPT-5.4, Gemini 3.1 Pro — evaluated with lexical… See the full description on the dataset page: https://huggingface.co/datasets/tax-free/scientific-ideation-diversity.1M<n<10M0 likes6 downloads2mo agoHugging Face15strategy-scope /si_et_al-ideation-gpt41mini-20260414_223535 si_et_al-ideation-gpt41mini-20260414_223535 Benchmark: si_et_al Generated: 2026-04-14T22:46:55.858516 Parameters model: gpt-4.1-mini-2025-04-14 judge_model: anthropic/claude-sonnet-4-5-20250929 strategy: none n_ideas_per_run: 5 n_runs: 3 n_topics: 3 rag: False Overall Averages Topics: 3 Total ideas: 41 Generation model: gpt-4.1-mini-2025-04-14 Judge model: anthropic/claude-sonnet-4-5-20250929 Runs per topic: 3 Ideas per run: 5 Evaluation protocol: port of… See the full description on the dataset page: https://huggingface.co/datasets/strategy-scope/si_et_al-ideation-gpt41mini-20260414_223535.tabularn<1K0 likes5 downloads5mo agoHugging Face16strategy-scope /si_et_al-ideation-gpt41mini-20260414_230629 si_et_al-ideation-gpt41mini-20260414_230629 Benchmark: si_et_al Generated: 2026-04-14T23:11:11.121297 Parameters model: gpt-4.1-mini-2025-04-14 judge_model: anthropic/claude-sonnet-4-5-20250929 strategy: none n_ideas_per_run: 5 n_runs: 3 n_topics: 3 rag: False Overall Averages Topics: 3 Total ideas: 45 Generation model: gpt-4.1-mini-2025-04-14 Judge model: anthropic/claude-sonnet-4-5-20250929 Runs per topic: 3 Ideas per run: 5 Evaluation protocol: port of… See the full description on the dataset page: https://huggingface.co/datasets/strategy-scope/si_et_al-ideation-gpt41mini-20260414_230629.tabularn<1K0 likes5 downloads5mo agoHugging Face17strategy-scope /si_et_al-ideation-gpt41mini-20260414_230629-evaluation si_et_al-ideation-gpt41mini-20260414_230629-evaluation Aggregate per-topic metrics (+ overall row where topic = __overall__). Parent: si_et_al-ideation-gpt41mini-20260414_230629 Run Parameters model: gpt-4.1-mini-2025-04-14 judge_model: anthropic/claude-sonnet-4-5-20250929 strategy: none n_ideas_per_run: 5 n_runs: 3 n_topics: 3 rag: False Columns topic / n_ideas mean_overall: mean of per-idea 1-10 overall scores (port of… See the full description on the dataset page: https://huggingface.co/datasets/strategy-scope/si_et_al-ideation-gpt41mini-20260414_230629-evaluation.tabularn<1K0 likes5 downloads5mo agoHugging Face18strategy-scope /si_et_al-ideation-gpt41mini-20260414_233911-ideas si_et_al-ideation-gpt41mini-20260414_233911-ideas Per-idea flat table with LLM-judge scores. Parent: si_et_al-ideation-gpt41mini-20260414_233911 Columns topic: NLP topic idea_index: position within pooled topic idea set run_idx: which of the n_runs generation calls produced this idea idea_text: the generated idea (Problem/Existing Methods/Motivation/Proposed Method/Experiment Plan) overall: 1-10 LLM-judge score (port of ai_researcher/src/idea_direct_score.py)… See the full description on the dataset page: https://huggingface.co/datasets/strategy-scope/si_et_al-ideation-gpt41mini-20260414_233911-ideas.tabularn<1K0 likes5 downloads5mo agoHugging Face19strategy-scope /si_et_al-ideation-gpt41mini-full-20260415_003054 si_et_al-ideation-gpt41mini-full-20260415_003054 Benchmark: si_et_al Generated: 2026-04-15T00:40:56.025185 Parameters model: gpt-4.1-mini-2025-04-14 judge_model: anthropic/claude-sonnet-4-5-20250929 strategy: full n_ideas_per_run: 5 n_runs: 3 n_topics: 7 rag: False Overall Averages Topics: 7 Total ideas: 103 Generation model: gpt-4.1-mini-2025-04-14 Judge model: anthropic/claude-sonnet-4-5-20250929 Runs per topic: 3 Ideas per run: 5 Evaluation protocol:… See the full description on the dataset page: https://huggingface.co/datasets/strategy-scope/si_et_al-ideation-gpt41mini-full-20260415_003054.tabularn<1K0 likes5 downloads5mo agoHugging Face20strategy-scope /si_et_al-ideation-gpt41mini-full-20260415_003054-ideas si_et_al-ideation-gpt41mini-full-20260415_003054-ideas Per-idea flat table with LLM-judge scores. Parent: si_et_al-ideation-gpt41mini-full-20260415_003054 Columns topic: NLP topic idea_index: position within pooled topic idea set run_idx: which of the n_runs generation calls produced this idea idea_text: the generated idea (Problem/Existing Methods/Motivation/Proposed Method/Experiment Plan) overall: 1-10 LLM-judge score (port of ai_researcher/src/idea_direct_score.py)… See the full description on the dataset page: https://huggingface.co/datasets/strategy-scope/si_et_al-ideation-gpt41mini-full-20260415_003054-ideas.tabularn<1K0 likes5 downloads5mo agoHugging Face21strategy-scope /si_et_al-ideation-gpt41mini-20260414_221654-ideas si_et_al-ideation-gpt41mini-20260414_221654-ideas Per-idea flat table with LLM-judge scores. Parent: si_et_al-ideation-gpt41mini-20260414_221654 Columns topic: NLP topic idea_index: position within pooled topic idea set run_idx: which of the n_runs generation calls produced this idea idea_text: the generated idea (Problem/Existing Methods/Motivation/Proposed Method/Experiment Plan) novelty / excitement / feasibility / effectiveness / overall: 1-10 LLM-judge scores tabularn<1K0 likes4 downloads5mo agoHugging Face22strategy-scope /si_et_al-ideation-gpt41mini-20260414_233911-evaluation si_et_al-ideation-gpt41mini-20260414_233911-evaluation Aggregate per-topic metrics (+ overall row where topic = __overall__). Parent: si_et_al-ideation-gpt41mini-20260414_233911 Run Parameters model: gpt-4.1-mini-2025-04-14 judge_model: anthropic/claude-sonnet-4-5-20250929 strategy: none n_ideas_per_run: 5 n_runs: 3 n_topics: 7 rag: False Columns topic / n_ideas mean_overall: mean of per-idea 1-10 overall scores (port of… See the full description on the dataset page: https://huggingface.co/datasets/strategy-scope/si_et_al-ideation-gpt41mini-20260414_233911-evaluation.tabularn<1K0 likes4 downloads5mo agoHugging Face23strategy-scope /si_et_al-ideation-gpt41mini-full-20260415_003054-evaluation si_et_al-ideation-gpt41mini-full-20260415_003054-evaluation Aggregate per-topic metrics (+ overall row where topic = __overall__). Parent: si_et_al-ideation-gpt41mini-full-20260415_003054 Run Parameters model: gpt-4.1-mini-2025-04-14 judge_model: anthropic/claude-sonnet-4-5-20250929 strategy: full n_ideas_per_run: 5 n_runs: 3 n_topics: 7 rag: False Columns topic / n_ideas mean_overall: mean of per-idea 1-10 overall scores (port of… See the full description on the dataset page: https://huggingface.co/datasets/strategy-scope/si_et_al-ideation-gpt41mini-full-20260415_003054-evaluation.tabularn<1K0 likes4 downloads5mo agoHugging Face24strategy-scope /si_et_al-ideation-gpt5mini-full-20260415_012526-ideas si_et_al-ideation-gpt5mini-full-20260415_012526-ideas Per-idea flat table with LLM-judge scores. Parent: si_et_al-ideation-gpt5mini-full-20260415_012526 Columns topic: NLP topic idea_index: position within pooled topic idea set run_idx: which of the n_runs generation calls produced this idea idea_text: the generated idea (Problem/Existing Methods/Motivation/Proposed Method/Experiment Plan) overall: 1-10 LLM-judge score (port of ai_researcher/src/idea_direct_score.py)… See the full description on the dataset page: https://huggingface.co/datasets/strategy-scope/si_et_al-ideation-gpt5mini-full-20260415_012526-ideas.tabularn<1K0 likes4 downloads5mo agoHugging Face25ideations2 /StreamRank-v20 likes4 downloads5mo agoHugging Face26strategy-scope /si_et_al-ideation-gpt41mini-20260414_221654 si_et_al-ideation-gpt41mini-20260414_221654 Benchmark: si_et_al Generated: 2026-04-14T22:21:29.593222 Parameters model: gpt-4.1-mini-2025-04-14 judge_model: gpt-4o-mini-2024-07-18 strategy: none n_ideas_per_run: 5 n_runs: 3 n_topics: 3 rag: False Overall Averages Topics: 3 Total ideas: 45 Generation model: gpt-4.1-mini-2025-04-14 Judge model: gpt-4o-mini-2024-07-18 Runs per topic: 3 Ideas per run: 5 Metric Mean Novelty 7.98 Excitement 8.93… See the full description on the dataset page: https://huggingface.co/datasets/strategy-scope/si_et_al-ideation-gpt41mini-20260414_221654.tabularn<1K0 likes3 downloads5mo agoHugging Face27strategy-scope /si_et_al-ideation-gpt5mini-full-20260415_012526 si_et_al-ideation-gpt5mini-full-20260415_012526 Benchmark: si_et_al Generated: 2026-04-15T01:44:01.632746 Parameters model: gpt-5-mini judge_model: anthropic/claude-sonnet-4-5-20250929 strategy: full n_ideas_per_run: 5 n_runs: 3 n_topics: 7 rag: False Overall Averages Topics: 7 Total ideas: 108 Generation model: gpt-5-mini Judge model: anthropic/claude-sonnet-4-5-20250929 Runs per topic: 3 Ideas per run: 5 Evaluation protocol: port of Si et al.… See the full description on the dataset page: https://huggingface.co/datasets/strategy-scope/si_et_al-ideation-gpt5mini-full-20260415_012526.tabularn<1K0 likes3 downloads5mo agoHugging Face28strategy-scope /si_et_al-ideation-gpt5mini-full-20260415_012526-evaluation si_et_al-ideation-gpt5mini-full-20260415_012526-evaluation Aggregate per-topic metrics (+ overall row where topic = __overall__). Parent: si_et_al-ideation-gpt5mini-full-20260415_012526 Run Parameters model: gpt-5-mini judge_model: anthropic/claude-sonnet-4-5-20250929 strategy: full n_ideas_per_run: 5 n_runs: 3 n_topics: 7 rag: False Columns topic / n_ideas mean_overall: mean of per-idea 1-10 overall scores (port of ai_researcher/src/idea_direct_score.py)… See the full description on the dataset page: https://huggingface.co/datasets/strategy-scope/si_et_al-ideation-gpt5mini-full-20260415_012526-evaluation.tabularn<1K0 likes3 downloads5mo agoHugging Face29strategy-scope /si_et_al-ideation-gpt5mini-full-20260415_022018 si_et_al-ideation-gpt5mini-full-20260415_022018 Benchmark: si_et_al Generated: 2026-04-15T02:44:39.671539 Parameters model: gpt-5-mini judge_model: anthropic/claude-sonnet-4-5-20250929 strategy: full n_ideas_per_run: 5 n_runs: 3 n_topics: 7 rag: False Overall Averages Topics: 7 Total ideas: 97 Generation model: gpt-5-mini Judge model: anthropic/claude-sonnet-4-5-20250929 Runs per topic: 3 Ideas per run: 5 Evaluation protocol: port of Si et al.… See the full description on the dataset page: https://huggingface.co/datasets/strategy-scope/si_et_al-ideation-gpt5mini-full-20260415_022018.tabularn<1K0 likes3 downloads5mo agoHugging Face30strategy-scope /si_et_al-ideation-gpt5mini-full-20260415_022018-evaluation si_et_al-ideation-gpt5mini-full-20260415_022018-evaluation Aggregate per-topic metrics (+ overall row where topic = __overall__). Parent: si_et_al-ideation-gpt5mini-full-20260415_022018 Run Parameters model: gpt-5-mini judge_model: anthropic/claude-sonnet-4-5-20250929 strategy: full n_ideas_per_run: 5 n_runs: 3 n_topics: 7 rag: False Columns topic / n_ideas mean_overall: mean of per-idea 1-10 overall scores (port of ai_researcher/src/idea_direct_score.py)… See the full description on the dataset page: https://huggingface.co/datasets/strategy-scope/si_et_al-ideation-gpt5mini-full-20260415_022018-evaluation.tabularn<1K0 likes3 downloads5mo agoHugging Face

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