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01TableSenseAI /TabMWPtext1K<n<10K0 likes2.8k downloads1y agoHugging Face02TableSenseAI /WikiTableQuestionstext10K<n<100K3 likes1.6k downloads1y agoHugging Face03TableSenseAI /FreeformTableQAtext1K<n<10K0 likes334 downloads1y agoHugging Face04TableSenseAI /WikiTableQuestionsSelectionThis dataset is a curated subset of the original WikiTableQuestions (Pasupat and Liang, 2015). To address inconsistencies and inaccuracies found in the source material—such as ambiguous queries and incorrect ground-truth labels—this version consists of 100 hand-selected examples. Each entry has been verified to ensure high data quality and factual alignment, making it an ideal benchmark for precise table-based QA evaluation. texttable-question-answeringn<1K0 likes259 downloads7mo agoHugging Face05TableSenseAI /TabMWPSelectionThis dataset is a high-fidelity selection from the Tabular Math Word Problems (TabMWP) benchmark (Lu et al., 2023). TabMWP is a leading resource for evaluating mathematical reasoning over heterogeneous tabular and textual data. To address potential noise and ensure the highest standards of logical grounding, this curated version consists of 100 hand-verified examples. Each entry has been audited to confirm that the multi-step reasoning chains—including information look-up and numerical… See the full description on the dataset page: https://huggingface.co/datasets/TableSenseAI/TabMWPSelection.textquestion-answeringn<1K0 likes189 downloads7mo agoHugging Face06TableSenseAI /FreeformTableQASelectionThis dataset represents a curated subset of the FreeformTableQA collection, refined to provide a more rigorous benchmark for table-based reasoning. While the original dataset covers a broad range of "free-form" queries—which often include complex, semi-structured, or non-grid layouts—it also contains instances of noise and misaligned labels. To ensure higher evaluation accuracy, this version features 100 manually verified examples where the natural language queries and tabular evidence have… See the full description on the dataset page: https://huggingface.co/datasets/TableSenseAI/FreeformTableQASelection.texttable-question-answeringn<1K0 likes76 downloads7mo agoHugging Face07skebbe /punditbench-2026-27-season-tables PunditBench 2026-27 pre-registered season tables How did 40–42 language models rank every club in Europe's five largest football leagues before the season began? This static dataset contains 204 complete final-table forecasts from PunditBench's 2026–27 league benchmark. Each row is one model's predicted finishing order for one league. Every included forecast was locked before that league's opening kickoff, committed publicly, hashed, and tagged in Git. La Liga: 40 tables… See the full description on the dataset page: https://huggingface.co/datasets/skebbe/punditbench-2026-27-season-tables.textn<1K1 likes41 downloads1mo agoHugging Face08llmsql-bench /prompts_for_tables_normalization_and_new_sqlstext100K<n<1M0 likes28 downloads4mo agoHugging Face09kalomaze /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.texttext-generationn<1K1 likes24 downloads8mo agoHugging Face10dnaihao /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.texttext-generation100K<n<1M0 likes23 downloads4mo agoHugging Face11wendymthompson /hecm-plf-tables HECM Principal Limit Factor (PLF) Tables Complete PLF lookup table with 4,864 age-rate combinations for calculating reverse mortgage borrowing capacity. Ages 62-99, interest rates 3.0%-18.875%. How PLF Works PLF determines what percentage of your home's value you can access: Higher age = higher PLF (more money available) Lower interest rate = higher PLF Example: Age 72 at 6.5% rate = PLF of 0.434 (43.4% of home value) Data Fields Field Type Description… See the full description on the dataset page: https://huggingface.co/datasets/wendymthompson/hecm-plf-tables.tabulartabular-regression1K<n<10K0 likes11 downloads7mo agoHugging Face12dlsmarta /simple-between-tables-clariden-conversionsgated SIMPLE BetweenTables Clariden conversions This dataset is the dedicated publication boundary for SIMPLE→SONIC conversions produced and accepted on CSCS Clariden for G1WholebodyLocomotionPickBetweenTablesTeleop-v0. Current status Reserved; no accepted generation is published yet. The submitted Clariden pilot must complete and pass fresh source-free replay before any token payload is uploaded. Existing lab-machine campaigns from minimax, monotone, or optimality are… See the full description on the dataset page: https://huggingface.co/datasets/dlsmarta/simple-between-tables-clariden-conversions.textroboticsn<1K0 likes10 downloads1mo agoHugging Face13lexuanbach /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.texttable-question-answering1K<n<10K0 likes8 downloads4mo agoHugging Face14sanchit42 /f_up_tablestextn<1K0 likes5 downloads2y agoHugging Face15Shrutiras /ExplainMed-lookup-tablestextn<1K0 likes4 downloads3mo agoHugging Face

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