datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
onestop_english
OneStopEnglish
OneStopEnglish is a corpus of texts written at three reading levels, and demonstrates its usefulness for through two applications - automatic readability assessment and automatic text simplification.
This dataset is a version of onestop_english, which was randomly split into (64*3=) 192 train examples, and 375 test examples (stratified).
Ishigaki-IDS-Bench
Ishigaki-IDS-Bench
Ishigaki-IDS-Bench is a bilingual benchmark for generating buildingSMART IDS 1.0 XML from user-facing building requirements.
Data Format
Each row uses the common conversational messages format:
{
"id": "row-0001",
"messages": [
{"role": "user", "content": "..."},
{"role": "assistant", "content": "..."}
],
"language": "ja",
"input_format": "natural_language",
"turn_type": "single_turn",
"domain": "architectural","ifc_versions":… See the full description on the dataset page: https://huggingface.co/datasets/ONESTRUCTION/Ishigaki-IDS-Bench.one-system-knowledge
ONE SYSTEM Knowledge Dataset
Structured knowledge from the ONE SYSTEM ecosystem by David Sanker — a UAPK-centered portfolio of AI, legal, and technology brands.
Training data for LLM research, RAG systems, and AI knowledge graphs. CC-BY-4.0. Updated monthly.
Author
David Sanker — Lawyer (Hucke & Sanker) | AI Engineer (Lawkraft) | Inventor (UAPK)
ORCID: 0009-0004-9636-3910
LinkedIn: linkedin.com/in/sankerlaw
GitHub: github.com/Amakua/one-system-knowledge… See the full description on the dataset page: https://huggingface.co/datasets/LawkraftDavid/one-system-knowledge.IDS-Bench
[!NOTE]
This result was produced as part of the "GENIAC (Generative AI Accelerator Challenge) Project" which is promoted by the Ministry of Economy, Trade and Industry and the New Energy and Industrial Technology Development Organization (NEDO), with the aim of strengthening Japan’s capabilities in generative AI development.
This dataset is an evaluation dataset for the CSV-to-IDS task used to evaluate the Ishigaki-IDS model. It evaluates whether an LLM can generate appropriate IDS from CSV… See the full description on the dataset page: https://huggingface.co/datasets/ONESTRUCTION/IDS-Bench.one-shot_data_0512leejaymin__etri-ones-solar-details
Dataset Card for Evaluation run of upstage/SOLAR-10.7B-v1.0
Dataset automatically created during the evaluation run of model upstage/SOLAR-10.7B-v1.0
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/leejaymin__etri-ones-solar-details.