CoolFace
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sharded

ArmelR /sharded-pile0 likes3k downloads3y agoHugging Faceafg1 /rnacentral-pretokenized-sharded10M<n<100M0 likes731 downloads3mo agoHugging Faceplaceholderlabs /Nemotron-SFT-Science-v2-Sharded Nemotron-SFT-Science-v2-Sharded Byte-preserving sequential 100 MB JSONL shards of selected files from nvidia/Nemotron-SFT-Science-v2. All credit for data generation and upstream curation belongs to the source authors. See the upstream dataset card for attribution, source descriptions and license terms. Included files: vendor.jsonl, so.jsonl, rqa.jsonl, syn_mcq.jsonl. No filtering, shuffling, normalization, tokenization or truncation was performed. Complete records and all… See the full description on the dataset page: https://huggingface.co/datasets/placeholderlabs/Nemotron-SFT-Science-v2-Sharded.text1M<n<10M0 likes515 downloads18d agoHugging Facehuyle1611 /bridgev2_vjepa21_latent_sharded0 likes419 downloads27d agoHugging Facenovogaia /massive-v2-ms2-t095-l080-sharded-10gb MassIVE v2 exact-MS2 training shards This dataset is a training-oriented repack of novogaia/massive-v2 at revision 10c48d8184119829c48651b8a40ea5e0b9015687. It includes only source files ending in _t0.95_l0.80_grouped.hdf5 and retains every row whose MS level is exactly 2. Rows: 1,584,408,553 Eligible training rows: 1,516,329,213 Train shards: 65 Validation shards: 3 The training_eligible column records the canonical precursor, retention-time, and usable-spectrum policy… See the full description on the dataset page: https://huggingface.co/datasets/novogaia/massive-v2-ms2-t095-l080-sharded-10gb.feature-extraction0 likes377 downloads1mo agoHugging Facemlfoundations-dev /REASONING_evalchemy_64_sharded_gpt-4o-mini Dataset card for REASONING_evalchemy_64_sharded_gpt-4o-mini This dataset was made with Curator. Dataset details A sample from the dataset: { "context": [ { "content": "Generate an executable Python function generated from the given prompt. Return the function body without invoking it at the final solution.You are given a 0-indexed array nums of n integers and an integer target.\nYou are initially positioned at index 0. In one step, you can… See the full description on the dataset page: https://huggingface.co/datasets/mlfoundations-dev/REASONING_evalchemy_64_sharded_gpt-4o-mini.tabular1K<n<10K0 likes360 downloads2y agoHugging Face