astronomy
marathi-jyotish-astronomy
🕉️ Vedic Neural Geometry & Jyotish QA Dataset
📊 Dataset Overview
Property
Value
Configs (subsets)
14 domain-specific + 1 original QA config (v2.1)
Languages
Marathi, Sanskrit, English (mixed)
Format
CSV / Parquet, structured tabular
License
MIT
Domain
Vedic Geometry, Jyotish, Numerology, Vastu, Samudrika Shastra
Each config below is an independent, domain-specific table — schemas differ across
domains by design (e.g. a KP event-promise… See the full description on the dataset page: https://huggingface.co/datasets/kalpesh77/marathi-jyotish-astronomy.survey-sim-dataPar-Four-Fineweb-Edu-Fortified-Chemistry-Physics-Astronomy-Math-ReasonExtracted Chemistry Physics Asronomy Math and Logic portions from the original.
Script used for the extraction:
https://huggingface.co/datasets/Josephgflowers/Par-Four-Fineweb-Edu-Fortified-Chemistry-Physics-Astronomy-Math-Reason/resolve/main/find-science-fine.py
arxiv-astronomy-similarity
Dataset card for ArXiv Astronomy Similarity
This dataset is a random sample of ArXiv abstracts labeled as astro-ph. It is intended for training vector similarity models.
It also has a BEIR-compatible version of the test split that can be used to measure the accuracy of vector models trained with this data.
astronomy-video-text-benchmark
Astronomy Video Text Data Notes
Dataset summary
Preparation notes and schema examples for Astronomy tasks using Video Text data. Full source material is intentionally not bundled, so provenance and licensing remain explicit.
Included material
dataloader.py — loading, cleaning, and split preparation code.
dataset_infos.json — schema and split metadata.
metadata_sample.jsonl — small, human-readable records for checking the schema.
README.md — data… See the full description on the dataset page: https://huggingface.co/datasets/ntnguyenke/astronomy-video-text-benchmark.fiesta_training_dataThis repo contains training data for the fiesta surrogates.
The surrogates are based on
possis (https://arxiv.org/abs/2211.14348)
afterglowpy (https://github.com/geoffryan/afterglowpy, https://arxiv.org/abs/1909.11691)
pyblastafterglow (https://github.com/vsevolodnedora/PyBlastAfterglowMag/, https://arxiv.org/abs/2409.16852)