datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
to-tool-call-datasets-LFM2.5-pythonic
to-tool-call-datasets → LFM2.5 Pythonic tool-call format
A derivative of zhangdw/to-tool-call-datasets (apache-2.0)
normalized for fine-tuning Liquid AI LFM2 / LFM2.5 models, whose native tool-call format is Pythonic:
<|im_start|>assistant
<|tool_call_start|>[get_weather(location='Paris, France', unit='celsius')]<|tool_call_end|><|im_end|>
Nine public tool-calling corpora (APIGen-MT, ButtonInstruct, Glaive v2, GraphSyn, LoopTool, τ-bench train, ToolACE, When2Call, xLAM-60k)… See the full description on the dataset page: https://huggingface.co/datasets/hungbenjamin402/to-tool-call-datasets-LFM2.5-pythonic.uncgpt-conversations-v7-69-total
UncGPT — Live-Approved Conversations (v7, 69-total)
4,761 approved multi-turn caregiving conversations across 11 languages, 69 skill axes, and 3 care levels. This is the live-approved canonical cohort used as the substrate for the NeurIPS 2026 UncGPT competition.
Part of the UncGPT NeurIPS 2026 Competition collection.
At a glance
Conversations
4,761
Languages
11 (en, yo, fr, pt, sw, zh, es, tl, bn, fa, hi)
Skill axes
69 (all covered)
Care levels… See the full description on the dataset page: https://huggingface.co/datasets/Reza2kn/uncgpt-conversations-v7-69-total.codex5.5_ToT
Codex 5.5 Handwritten TropicalGT/ToricGT ToT Reasoning
This dataset contains individually authored Tree-of-Thought style reasoning records for TropicalGT/ToricGT training. Each row represents one accepted JSON reasoning artifact, flattened into stable Parquet columns for filtering and dataset-viewer compatibility while preserving the complete canonical JSON object in record_json.
The source dataset is maintained in tot_reasoning_dataset_handwritten/. The rejected bulk-generated… See the full description on the dataset page: https://huggingface.co/datasets/AmelieSchreiber/codex5.5_ToT.iris-tote-genui-500k-v0.1
Iris TOTE GenUI 500k v0.1
Synthetic text-to-TOTE dataset for GenUI pretraining.
Recommended HF repo name:
iris-tote-genui-500k-v0.1
Contents
This release is compiled from:
/Users/ggwplarin/src/repos/iris-train-s/runs/bronze_500k_llm_paraphrase_contract_clipped_v0002
It expands 5,000 validated gold TOTE rows into 500,000 bronze rows using deterministic LLM paraphrase overlays and contract clipping. The target TOTE is unchanged from validated gold seeds.
Splits… See the full description on the dataset page: https://huggingface.co/datasets/ggwplarin/iris-tote-genui-500k-v0.1.