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Download README.md from giannor/test2: direct link, hf CLI and curl.
- Browser
- Download file 1.34 kB
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https://huggingface.co/datasets/giannor/test2/resolve/main/README.md
- Command line
-
hf download hf://datasets/giannor/test2/README.md
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curl -L -o README.md https://huggingface.co/datasets/giannor/test2/resolve/main/README.md
1.34 kB
metadata
pretty_name: synth-kg-text hetionet v1.0
tags:
- knowledge-graph
- synthetic-data
- supervised-fine-tuning
configs:
- config_name: default
data_files:
- split: train
path: data/train.parquet
- split: validation
path: data/validation.parquet
- split: test
path: data/test.parquet
- split: seen_fact_unseen_phrasing
path: data/seen_fact_unseen_phrasing.parquet
- split: compositional
path: data/compositional.parquet
synth-kg-text: hetionet v1.0
This repository contains validated chat-style supervised fine-tuning data generated by synth-kg-text.
- Source run: sglang-smoke-2
- Knowledge graph: hetionet v1.0
- Generator model: Qwen/Qwen3.6-35B-A3B
- Configuration hash: b6c36da6ccc0bae1b024c308a07d25f2e53f38252fd3d954c57ed68baaa7189e
Splits
| Split | Rows |
|---|---|
| train | 75 |
| validation | 5 |
| test | 3 |
| seen_fact_unseen_phrasing | derived evaluation subset |
| compositional | derived evaluation subset |
The metadata directory contains the resolved configuration, prompt snapshots, build manifest, and generation report needed to audit the run. Individual records retain graph provenance, licenses, grounding identifiers, and validation results.
Load
from datasets import load_dataset
dataset = load_dataset("giannor/test2")