datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
figment-eval-traces
Figment Eval Traces
Synthetic and de-identified evaluation traces for Figment, a prototype protocol-navigation aid for trained rural-clinic and disaster-response field responders.
These records are intended for model and harness debugging. They are not clinical data, medical advice, diagnosis, treatment instructions, or a substitute for local protocol, clinician judgment, supervisor review, or trained responder judgment.
Dataset Summary
The dataset captures… See the full description on the dataset page: https://huggingface.co/datasets/build-small-hackathon/figment-eval-traces.fabella-traces
Fabella Anonymized Agent Traces
A public, anonymized log of the LangGraph ReAct loop inside Fabella, a small-model Gradio Space for parents who need help explaining hard things to their child in kid-appropriate language. The dataset exists for the Sharing is Caring merit badge in the Build Small Hackathon.
The first version of every explanation is drafted by google/gemma-4-E4B-it via a LangGraph ReAct loop with one tool (validate_explanation). A second small model —… See the full description on the dataset page: https://huggingface.co/datasets/build-small-hackathon/fabella-traces.PaperProf-traces
PaperProf Agent Trace
Step-by-step trace of PaperProf,
an AI study buddy that turns course PDFs into interactive quiz sessions.
What's in this dataset
Each row in paperprof_trace.jsonl is one LLM call. Fields:
Field
Description
session_id
Groups steps from the same session
step
Step index within the session (1–4)
type
question_generation / answer_evaluation / mcq_generation
topic
Domain of the source chunk
input
Exact input sent to the model… See the full description on the dataset page: https://huggingface.co/datasets/build-small-hackathon/PaperProf-traces.exam_zh_multitopic_dialect_culture
exam_zh_multitopic_dialect_culture
This dataset contains 300 multiple-choice questions (MCQs) from a variety of Mandarin-based assessments, spanning both regional dialect comprehension and cultural/general knowledge.
📚 Description
The questions come from publicly available Chinese-language exams and quizzes, and fall into two major categories:
🗣️ Regional Dialect Tests
These assess language understanding across major Chinese dialects and topolects:
Hakka… See the full description on the dataset page: https://huggingface.co/datasets/somosnlp-hackathon-2025/exam_zh_multitopic_dialect_culture.
