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01saidutta69 /red-pill-drug-discovery-formulation 🔴 RED-PILL Research Enhanced Dataset for Pharmaceutical Innovation in Learning & Language The first open instruction-tuning dataset for drug discovery & formulation development. Built for fine-tuning Heretic-ablated models that won't refuse your pharmaceutical R&D questions. ⚡ Quick Start from datasets import load_dataset # Load the full dataset ds = load_dataset("saidutta69/red-pill-drug-discovery-formulation"… See the full description on the dataset page: https://huggingface.co/datasets/saidutta69/red-pill-drug-discovery-formulation.texttext-generation1K<n<10K0 likes111 downloads12d agoHugging Face02Banodoco /discord-archive Discord Archive This is an archive of messages from the Banodoco Discord community, where technical and artistic practitioners have been discussing open source AI art for the past three years. The archive captures a long-running community record of people learning, training, evaluating, and using open source AI art models in practice. It contains discussion around model releases, workflows, tooling, troubleshooting, creative experiments, training details, and the many small… See the full description on the dataset page: https://huggingface.co/datasets/Banodoco/discord-archive.tabulartext-generation1M<n<10M4 likes71 downloads4mo agoHugging Face03Dans-DiscountModels /RUCAIBox-Story-Generation-Alpacahttps://huggingface.co/datasets/RUCAIBox/Story-Generation RUC AI Box HC Story Generation augmented and converted to alpaca format. No filtering has been done. texttext-generation1K<n<10K13 likes65 downloads3y agoHugging Face04liuchengwu /discover-and-prove MiniF2F-Hard & FIMO-Hard Expert-reannotated Hard Mode variants of the MiniF2F and FIMO theorem-proving benchmarks, released with our paper Discover and Prove: An Open-source Agentic Framework for Hard Mode Automated Theorem Proving in Lean 4 (ACL 2026). In Hard Mode, the final answer is not embedded in the formal statement: the system must first discover the answer before constructing a formal proof — mirroring what a human competitor actually faces. Each solution-style… See the full description on the dataset page: https://huggingface.co/datasets/liuchengwu/discover-and-prove.texttext-generationn<1K0 likes59 downloads3mo agoHugging Face05DiscoPosse /cc-traces-weka-with-subagents-051826 CC Traces — Weka, With Subagents, v5 only (May 18 2026) A collection of 96 multi-turn agentic traces drawn from real production traffic against the Claude Code CLI ≥ 2.1.139. Each trace captures the full request/response sequence of a single agent session, including per-request KV block hashes AND the original sub-agent fan-out structure (Task-tool spawned sub-agents grouped into WekaSubagentEntry blocks). With-subagents, v5-only variant. Companion to… See the full description on the dataset page: https://huggingface.co/datasets/DiscoPosse/cc-traces-weka-with-subagents-051826.texttext-generationn<1K0 likes56 downloads3mo agoHugging Face06Dans-DiscountModels /Alpaca_Evol_Instruct_CleanedAlpaca Evol Instruct cleaned of refusals, scrubbed of overly repetitive responses, aggresively deduplicated, and all URLs removed from the output. The final dataset has aproximately 54k instructions. Base dataset https://huggingface.co/datasets/victor123/evol_instruct_70k texttext-generation100K<n<1M6 likes48 downloads3y agoHugging Face07DiscoPosse /RAGPulse RAGPulse: A Real-World RAG Workload Trace to Optimize RAG Serving Systems 🌐 Github Link | 🤗 Workload Trace | 📑 Arxiv Paper | 🤖 How to use? RAGPulse is a real-world RAG workload trace collected from an university-wide Q&A service scenario. The system has been serving over 40,000 students and faculties since April 2024, providing intelligent policy Q&A services. The trace contains a total of 7,106 records entries, sampled from one week of our Q&A service. Dataset… See the full description on the dataset page: https://huggingface.co/datasets/DiscoPosse/RAGPulse.tabulartext-generation1K<n<10K0 likes32 downloads3mo agoHugging Face08dreeseaw /cleo-value-discovery Cleo Value-Discovery Benchmark A small (66-question), held-out benchmark for a failure mode that ordinary text-to-SQL evaluations miss: questions whose correct SQL depends on a literal that lives in the data, not the schema. The schema tells you a column is named status; only the data reveals its values are {'O','C','X'}. The schema shows to_date; only the data reveals that "current" is encoded as the sentinel '9999-01-01'. A one-shot text-to-SQL model has to guess these… See the full description on the dataset page: https://huggingface.co/datasets/dreeseaw/cleo-value-discovery.texttable-question-answeringn<1K0 likes23 downloads4mo agoHugging Face09theprint /databird-discoursetexttext-generation1K<n<10K0 likes17 downloads1y agoHugging Face10Dans-DiscountModels /text-splitter-alpacahttps://huggingface.co/datasets/mhenrichsen/context-aware-splits-english texttext-generation10K<n<100K1 likes15 downloads3y agoHugging Face11fineset-io /ai-drug-discovery-papers AI for Drug Discovery Papers — FineSet A research-paper dataset on AI for Drug Discovery Papers, assembled, deduplicated, and quality-scored by FineSet from arXiv and Semantic Scholar. 📸 This is a dated snapshot — generated 2026-06-19. It is not auto-updated. Research on AI for Drug Discovery Papers moves fast — new papers land on arXiv every week. Want this same dataset refreshed daily, on a topic you choose? See the bottom. ↓ Why this dataset Quality-scored:… See the full description on the dataset page: https://huggingface.co/datasets/fineset-io/ai-drug-discovery-papers.tabulartext-classificationn<1K0 likes14 downloads3mo agoHugging Face

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