datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
md-2-xml-wiki-tables
md-2-xml-wiki-tables
958 markdown tables extracted from fan/community MediaWiki sites for markdown-to-XML format conversion tasks.
Format
JSONL with fields:
title: article title from the source wiki page
section: section heading the table appeared under
wiki: source wiki name
table_md: raw markdown table
filename: original filename
Splits
train: 894 tables
eval: 64 held-out tables
Source
Various fan/community MediaWiki sites. Most use CC-BY-SA… See the full description on the dataset page: https://huggingface.co/datasets/kalomaze/md-2-xml-wiki-tables.table-sft-eval-predictions
💾 Raw Predictions for "What Really Matters for Table LLMs?"
This dataset contains the raw model outputs from the experiments in:
Naihao Deng, Sheng Zhang, Henghui Zhu, Shuaichen Chang, Jiani Zhang,
Alexander Hanbo Li, Chung-Wei Hang, Hideo Kobayashi, Yiqun Hu, Patrick Ng.
What Really Matters for Table LLMs? A Meta-Evaluation of Model and Data Effects.
Findings of EACL 2026. https://aclanthology.org/2026.findings-eacl.195/
🗂️ Layout… See the full description on the dataset page: https://huggingface.co/datasets/dnaihao/table-sft-eval-predictions.relationalrag-tables-artifact-data
RelationalRAG-Tables Artifact Data
This public dataset repository mirrors the lightweight data payloads from the
RelationalRAG-Tables reproducibility artifact:
fixtures/: smoke and synthetic fixtures used by the CPU-only artifact path.
artifacts/: stored JSON outputs and manifest.json hashes for reported
experimental numbers.
The repository does not redistribute heavyweight upstream benchmark corpora
such as BIRD or HybridQA, nor does it redistribute pretrained model weights.… See the full description on the dataset page: https://huggingface.co/datasets/lexuanbach/relationalrag-tables-artifact-data.custom_tablesThis table has a similar format as the synthetic_text_to_sql (names the sql_context, sql_prompt, and sql columns).
