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Hugging Face
AI Dataset·2026
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Blood Pathology LIMS Environment

Yatin Taneja·IM Superintelligence

Simulates a hospital LIMS to benchmark agentic clinical reasoning: agents inspect demographics, medications, lab orders/results and then submit ICD‑10 diagnostic reports scored by deterministic, context‑aware graders. Ships as an OpenEnv/FastAPI runtime with 8 scenarios, step‑level rewards and trajectory capture for RL, tool‑use and evaluation.

#huggingface#RL#evaluation#agent-skills#json+5
Hugging Face
AI Model·2026
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Qwythos-27B-v1

Empero AI, Alibaba (Qwen team)

27B multimodal reasoning model built on Qwen3.5-27B that preserves the base model's native multi-token-prediction head, full vision tower, and a 1,048,576-token YaRN context window. Designed for agentic tool use, long-context reasoning, and research deployments; released under Apache-2.0.

#qwen#multimodal#vision#reasoning#llm+8
Hugging Face
AI Dataset·2026
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GLM-5.2 Conversation

ianncity

50,000 distilled conversational traces (≈120M tokens) generated from GLM-5.2 for high-reasoning text generation and QA, covering STEM, programming, creative and support dialogues; Apache-2.0 licensed.

#huggingface#distillation#reasoning#llm#nlp+8
Hugging Face
AI Dataset·2026
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Claude protein binder design (data release v1.0)

Anthropic, Adaptyv Bio +1

Provides experimental and in-silico data for 1,440 de novo miniprotein binders designed by Anthropic's Claude models, including per-design kinetics, raw sensorgrams, structure-predictions, and design provenance. Includes two independent wet‑lab assessments and extensive per-design files; data released under CC BY 4.0.

#anthropic#huggingface#benchmark#biology#drug-discovery+1
Hugging Face
AI Dataset·2026
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SageBio/mva-hackathon-2026-data

SageBio

Hugging Face dataset for the MVA Hackathon 2026 containing pediatric rare-disease genomic data (~85 GB across 11 files). Access requires accepting dataset conditions; intended for genomic ML, variant analysis, and hackathon submissions, with notable storage and privacy constraints.

#huggingface#genomics#biology#research#privacy
AI Agent Papers·2026
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FrontierChallenge: Evaluating Scientific Workflow Completion

Liangcai Su, Zhaopeng Feng +14

Evaluates AI agents' ability to complete end-to-end scientific workflows by releasing and assessing 97 tasks from a 300-task FrontierChallenge suite across chemistry, materials, life science, and electrochemistry. Finds that top agent configurations achieved only a 20.6% pass rate despite high partial scores, revealing a gap between partial progress/confident completion claims and actual complete scientific deliverables.

#benchmark#benchmarks#evaluation#agent-skills#ai-agent+6
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