CoolFace
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eta

etahamad /pear Dataset Card for Dataset Name Dataset Summary This dataset card aims to be a base template for new datasets. It has been generated using this raw template. Supported Tasks and Leaderboards [More Information Needed] Languages [More Information Needed] Dataset Structure Data Instances [More Information Needed] Data Fields [More Information Needed] Data Splits [More Information Needed] Dataset Creation… See the full description on the dataset page: https://huggingface.co/datasets/etahamad/pear.image0 likes1.1k downloads4y agoHugging Facemlfoundations-dev /swe_gym_with_metadata_etashtext1K<n<10K0 likes541 downloads1y agoHugging Facemlfoundations-dev /scale_up_swegym_full_annotated_etash Dataset card for scale_up_swegym_full_annotated_etash This dataset was made with Curator. Dataset details A sample from the dataset: { "final_prompt": "a very basic just gradio having app\r\n\r\nfast api 111 fixes issue\r\n\r\nall of my followers now reporting errors and so hard to fix all\r\n\r\ni don't know how can you publish such a devastating bug having version please fix it ASAP\r\n\r\n\r\n```\r\n2024-09-06 00:12:20,515 - INFO - HTTP Request: GET… See the full description on the dataset page: https://huggingface.co/datasets/mlfoundations-dev/scale_up_swegym_full_annotated_etash.text100K<n<1M0 likes468 downloads1y agoHugging FaceEtaYang10th /Open-M3-Bench M3-Bench Image Assets This dataset contains the image assets for M3-Bench: Multi-Modal, Multi-Hop, Multi-Threaded Tool-Using MLLM Agent Benchmark, a benchmark for multimodal tool use under the Model Context Protocol (MCP). M3-Bench targets realistic workflows where an agent must jointly reason over images, text, and MCP tools in multi-hop and sometimes multi-threaded trajectories. For full details, please see the paper: https://arxiv.org/abs/2511.17729. Contents… See the full description on the dataset page: https://huggingface.co/datasets/EtaYang10th/Open-M3-Bench.1 likes448 downloads8mo agoHugging Faceallacza /eta32textn<1K0 likes353 downloads6mo agoHugging Facecallensxavier /socrateai-eta-quotients Eta-Quotients in Lean 4 Machine-checked Lean 4 formalization of the arithmetic and analytic layers of Ligozat's criterion for eta-quotients f(z)  =  ∏δ∣Nη(δz)rδf(z) \;=\; \prod_{\delta \mid N} \eta(\delta z)^{r_\delta}f(z)=δ∣N∏​η(δz)rδ​ together with a precisely named obstruction to the general case. ⚠️ PREPRINT — not peer reviewed. The Lean development compiles and is axiom-audited; those claims are machine-checked. The paper's exposition has had no external referee. DOI:… See the full description on the dataset page: https://huggingface.co/datasets/callensxavier/socrateai-eta-quotients.0 likes274 downloads14d agoHugging Face