datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
svgen_500k_rasterized_jsonified_uuided
SVGEN RJU - SVGEN 500k: Rasterized, JSONified, UUID'ed
I have selected every svg image from svgen that would rasterize under cairosvg, which is significantly less than a 1% failure rate. Under development.
Reasoning
This is the 1st of many SVG datasets I am collecting, extracting, and rasterizing in an attempt to produce a meaningfully helpful spatial reasoning and vertex manipulation model.
Usage
The rasterized images are in PNG format, as bytes. They may be… See the full description on the dataset page: https://huggingface.co/datasets/MrOvkill/svgen_500k_rasterized_jsonified_uuided.fallacies-fallacy-base
Fallacies
This dataset was produced for the purpose of enabling more accurate detection and handling of logical and other fallacies in LLMs. Video Summary
Provenance
Seed data taken from Wikipedia's list of Fallacies, using the PDF representaton of each sub-page as seed data to produce each row synthetically with Gemini 1.5 Flash, Experimental, and Pro over the Vertex AI Google Cloud UI. This was both for rate limitation reasons ( I hate stopping in the middle of a task.… See the full description on the dataset page: https://huggingface.co/datasets/MrOvkill/fallacies-fallacy-base.pdox-reversed
PDOX Reversed - Paradoxes
A collection of paradox-related questions, answers, and workarounds presented in JSONL, syntheized with the use of Gemini 1.5 Pro.
{
"question": "A description",
"answer": "A paradox name",
"workaround": "A logical way to accomadate the paradox",
"proper_name": "The name of the paradox in question",
"perplexity": h0w.p3r13x1ng1715
}
Medical-Reasoning-SFT-GPT-OSS-120B
Medical-Reasoning-SFT-GPT-OSS-120B
A high-quality synthetic dataset of medical reasoning conversations generated using OpenAI's gpt-oss-120B model with reasoning effort set to high, designed for supervised fine-tuning of large language models in healthcare applications. I used Intelligent-Internet/II-Medical-Reasoning-SFT as a seed dataset, so I would like to thank the authors and Intelligent-Internet for their great work.
Dataset Statistics
Total Samples: 200… See the full description on the dataset page: https://huggingface.co/datasets/mroberts186/Medical-Reasoning-SFT-GPT-OSS-120B.tool-calling-conversations-mro68lc0
Tool Calling Conversations
An Arena-style dataset of anonymized, multi-turn conversations focused on real-world
tool use. It is intended for research, evaluation, and training of models that decide
when and how to call tools.
The conversations include:
Tool selection and no-tool decisions
Structured tool arguments
Sequential and parallel tool calls
Tool results and error recovery
Multi-step agent workflows
Final responses after tool execution
Data is organized into… See the full description on the dataset page: https://huggingface.co/datasets/dakr-pandas/tool-calling-conversations-mro68lc0.fallacies-list-wikipedia
Provenance
Sourced from Wikipedia - List of fallacies to provide seed data for a dataset of examples of logical and other fallacies.
Methodology
The data was processed using Gemini 1.5 Pro via the Google GenAI API via a Colab notebook, which is available Here