datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
HeliumSLM-Datasethelium-market-resolution-benchmark
What is this?
Market Resolution contains 299 ranked option-contract questions. Most test calculations or comparisons from frozen quotes. Sixty test an implied-volatility prior with the premium hidden, and 11 test probability-of-finishing-in-the-money forecasts against a later outcome.
It does not measure trading profitability. It measures bounded option-chain reasoning: implied volatility (IV), delta, time value, parity, term structure, relative IV, chain surfaces, and… See the full description on the dataset page: https://huggingface.co/datasets/HeliumTrades/helium-market-resolution-benchmark.helium-model-worldview-benchmark
What is this?
Model Worldview is a 323-item probe suite. It includes 93 paired tests that hold a scenario fixed while changing a source, identity, or framing cue, plus standalone value tradeoffs, political survey items, and evidence questions.
It is not a single left-right score or a ranking of the "best worldview."
Across 16 matched stereotype-essay prompts, 6 models triggered the refusal classifier every time. The lowest rate was grok-4.20-reasoning: 3/16. Same requests… See the full description on the dataset page: https://huggingface.co/datasets/HeliumTrades/helium-model-worldview-benchmark.helium_memory
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Model card ·
OpenAI blog
Welcome to the gpt-oss series, OpenAI’s open-weight models designed for powerful reasoning, agentic tasks, and versatile developer use cases.
We’re releasing two flavors of these open models:
gpt-oss-120b — for production, general purpose, high reasoning use cases that fit into a single 80GB GPU (like NVIDIA H100 or AMD MI300X) (117B parameters with 5.1B active parameters)gpt-oss-20b — for lower latency, and local or… See the full description on the dataset page: https://huggingface.co/datasets/Fred808/helium_memory.imtalker-helium-audio-8s-backup
IMTalker Helium + Audio 8s Backup
Tar archive backup made before closing pod on 2026-05-13.
Files:
audio_hdtf_tf_helium_25fps.tar: 8s Helium-derived 25fps audio features
audio_hdtf_tf_helium_25fps_meta.tar: metadata for Helium features
audio_hdtf_tf_adapter768.tar: 8s adapter/wav2vec-style 768 audio features
audio_hdtf_tf_adapter768_meta.tar: metadata for adapter768 features
checkpoints/fp32_1layer_8s_best.pt
checkpoints/fp32_12layer_8s_best.pt… See the full description on the dataset page: https://huggingface.co/datasets/niloy629/imtalker-helium-audio-8s-backup.heliumos_reward_score
Dataset Card for heliumos_reward_score
This dataset has been created with distilabel.
Dataset Summary
This dataset contains a pipeline.yaml which can be used to reproduce the pipeline that generated it in distilabel using the distilabel CLI:
distilabel pipeline run --config "https://huggingface.co/datasets/weiminw/heliumos_reward_score/raw/main/pipeline.yaml"
or explore the configuration:
distilabel pipeline info --config… See the full description on the dataset page: https://huggingface.co/datasets/weiminw/heliumos_reward_score.kyutai__helium-1-preview-2b-details
Dataset Card for Evaluation run of kyutai/helium-1-preview-2b
Dataset automatically created during the evaluation run of model kyutai/helium-1-preview-2b
The dataset is composed of 38 configuration(s), each one corresponding to one of the evaluated task.
The dataset has been created from 1 run(s). Each run can be found as a specific split in each configuration, the split being named using the timestamp of the run.The "train" split is always pointing to the latest results.
An… See the full description on the dataset page: https://huggingface.co/datasets/open-llm-leaderboard/kyutai__helium-1-preview-2b-details.heliumos_pair_rank_reward
Dataset Card for heliumos_pair_rank_reward
This dataset has been created with distilabel.
Dataset Summary
This dataset contains a pipeline.yaml which can be used to reproduce the pipeline that generated it in distilabel using the distilabel CLI:
distilabel pipeline run --config "https://huggingface.co/datasets/weiminw/heliumos_pair_rank_reward/raw/main/pipeline.yaml"
or explore the configuration:
distilabel pipeline info --config… See the full description on the dataset page: https://huggingface.co/datasets/weiminw/heliumos_pair_rank_reward.