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01THU-ATOM /cameo_data CAMEO Dataset for Protein Structure Prediction This dataset contains protein sequences and structures from CAMEO (Continuous Automated Model EvaluatiOn) for monomer structure prediction tasks. Dataset Description CAMEO is a community-wide initiative to continuously evaluate the performance of protein structure prediction methods. This dataset includes 141 protein targets collected from January to April 2025. Dataset Structure cameo/ ├── sequences.fasta… See the full description on the dataset page: https://huggingface.co/datasets/THU-ATOM/cameo_data.tabulartext-to-3dn<1K1 likes310 downloads11mo agoHugging Face02Ty-Perez /AtomisticEvaltext100K<n<1M0 likes233 downloads3mo agoHugging Face03wskal /ATO-datasets ATO: Augmenting Text to Increase Translation Difficulty — datasets William Kalikman*, Šimon Sukup*, Michal Tešnar, Vilém Zouhar (*equal contribution) ETH Zurich This dataset contains the (original, augmented) text pairs produced by the two ATO variants. The method, code, and configs can be seen in the repository: https://github.com/BreakingMT/ATO Columns (both files) original_sentence — source English sentence (FLORES200 or WMT22/23/24 news test set)… See the full description on the dataset page: https://huggingface.co/datasets/wskal/ATO-datasets.texttranslationn<1K1 likes81 downloads5mo agoHugging Face04svjack /comet-atomic-ja-zhtext10K<n<100K0 likes79 downloads4y agoHugging Face05bensblueprints /atomic-scraper-leads Atomic Scraper Leads Public business listings scraped from Google Maps for leads.benjaminboyce.com. This dataset is an export of the leads table from the Atomic / gmaps-scraper-suite pipeline. Each row is a local business listing with contact and location fields plus scrape metadata. Freshness Use scraped_at (UTC timestamps) as the freshness signal. This snapshot was exported on 2026-08-25. Oldest scraped_at: 2026-08-09 Newest scraped_at: 2026-08-25 Listings… See the full description on the dataset page: https://huggingface.co/datasets/bensblueprints/atomic-scraper-leads.tabulartabular-to-text10K<n<100K0 likes59 downloads29d agoHugging Face06id4thomas /emotion-prediction-comet-atomic-2020 emotion-prediction-comet-atomic-2020 This dataset extends the COMET-Atomic-2020 commonsense reasoning dataset by focusing on the xReact (subject’s emotional reaction) and oReact (other person’s emotional reaction) relations. Description Each entry is expanded into a realistic, three‑sentence scenario, replacing the placeholders (PersonX/PersonY) with human names and adding contextual details. Source (comet-atomic-2020) Example: source relation target PersonX… See the full description on the dataset page: https://huggingface.co/datasets/id4thomas/emotion-prediction-comet-atomic-2020.imagetext-generation100K<n<1M0 likes48 downloads1y agoHugging Face07THU-ATOM /RecentPDBDirectory structure of recentpdb.tar.gz /data/protein/YHData/Data/airdd/datasets/recentpdb ├── input.json ├── mmcif │   ├── 6st5.cif │   ├── 6zsu.cif │   ├── 6zsv.cif │ ├── ··· │   ├── 8hii.cif │   ├── 8hij.cif │   └── 8hik.cif ├── pdb_id_list.txt └── precomputed_msa text10M<n<100M0 likes12 downloads5mo agoHugging Face08atom-team /shit-nlp-sentimenttext100K<n<1M0 likes11 downloads3y agoHugging Face09Youngseung /RAGPPI_Atomics RAG Benchmark for Protein-Protein Interactions (RAGPPI) 📊 Overview Retrieving expected therapeutic impacts in protein-protein interactions (PPIs) is crucial in drug development, enabling researchers to prioritize promising targets and improve success rates. While Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) frameworks accelerate discovery, no benchmark exists for identifying therapeutic impacts in PPIs. RAGPPI is the first factual QA benchmark… See the full description on the dataset page: https://huggingface.co/datasets/Youngseung/RAGPPI_Atomics.texttext-generation10K<n<100K0 likes9 downloads1y agoHugging Face10ali8933445566 /atom-explanations-middle-schooltextn<1K0 likes4 downloads2mo agoHugging Face11tacticalv2 /tactical_atomic_multiple_change_datasettext1K<n<10K0 likes2 downloads1y agoHugging Face

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