datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
cad-gen-freecad-bench
Parametric CAD Bench — results dataset
Run-by-run results for Parametric CAD Bench, a benchmark that
measures whether AI agents can author editable FreeCAD models from
natural-language part descriptions. 1000 rows, one per
(agent, model, task_id, trial) over the
gnucleus-ai/cad-bench@v1
task suite. The public leaderboard view of this data lives at
cadbench.ai.
What's in here
data/cad-bench-v1.parquet — the row table. Each row carries the
composite + sub-scores… See the full description on the dataset page: https://huggingface.co/datasets/gnucleus-ai/cad-gen-freecad-bench.cad-gen-freecad-bench-v2
Parametric CAD Bench v2 — results dataset
Run-by-run results for Parametric CAD Bench v2, a benchmark that measures
whether AI agents can author editable FreeCAD models from natural-language part
descriptions. This archive contains 1,000 rows: one trial for each of 100 tasks
across the 10 public jobs on the live
gnucleus-ai/cad-bench@v2
leaderboard.
What's in here
data/cad-bench-v2.parquet — the trial index. Each row carries the
continuous reward and its… See the full description on the dataset page: https://huggingface.co/datasets/gnucleus-ai/cad-gen-freecad-bench-v2.brahma-sutras
Brahma Sūtras (ब्रह्मसूत्राणि) — Complete Śrī Madhvācārya Dvaita Sarvamūla Canon
The complete computational and hermeneutic dataset of all 555 Brahma Sūtras of Bādarāyaṇa Vyāsa with the Dvaita Vedānta (Tattvavāda) commentaries of Śrī Madhvācārya (Ānandatīrtha).
🏛️ Corpus Structure & Sarvamūla Works
This dataset includes:
555 Canonical Sūtras structured across 4 Adhyāyas (Samanvaya, Avirodha, Sādhana, Phala) and 16 Pādas.
Pāṇinian Padaccheda: Exact… See the full description on the dataset page: https://huggingface.co/datasets/gnumanth/brahma-sutras.mahabharata-characters
Mahabharata Multidimensional Characters Dataset
An analytical, multidimensional dataset classifying 307 figures from the Sanskrit epic Mahabharata, combining genealogical and martial attributes with TypeSafe AI System One decision primitives (Choice, Score, Noul) and deterministic ethical indices.
Dataset Summary
Total Characters: 307
Factions: 90 Pandava Coalition, 153 Kaurava Host, 64 Neutral / Rishis / Allied Kings
Philosophical Gunas: 135 Sattva (Purity /… See the full description on the dataset page: https://huggingface.co/datasets/gnumanth/mahabharata-characters.tc39
Usage:
from datasets import load_dataset
proposals = load_dataset("gnumanth/tc39", split="train")
print(proposals[0])
{
'url': 'https://github.com/tc39/proposal-array-is-template-object',
'edition': None,
'authors': ['Mike Samuel', 'Krzysztof Kotowicz'],
'champions': ['Krzysztof Kotowicz'],
'description': 'TC39 proposal to identify template strings',
'id': 'proposal-array-is-template-object',
'rationale': None,
'name': 'Array.isTemplateObject',
'has-specification': True… See the full description on the dataset page: https://huggingface.co/datasets/gnumanth/tc39.gita