Collaborator access only

This repository is a compilation of third-party catalogs, not an original discovery list. Public download is disabled. Access is granted only to approved project collaborators.

I understand that this is a homogenized compilation, not an original catalog; that scientific credit belongs to the source papers; that I will not copy or redistribute these files without written permission from the OneAstronomy maintainers; and that any approved use remains subject to the licenses and terms of the original catalogs.

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OneAstronomy Strong Lens Master Catalog (v1)

Unified lens and non-lens system tables compiled for the OneAstronomy strong-lensing workflow (2026).
This Hugging Face release contains master tables only (no image cutouts). Cutouts will be released separately.

What's in this release

File Rows Description
data/lens_systems.csv 42,834 Unique strong-lens / candidate systems
data/nonlens_systems.csv 62,858 Explicit non-lens / contaminant systems
data/field_dictionary.csv Column definitions
data/merge_report.json Build statistics (2026-08-24)
SOURCES_AND_CITATIONS.md Required reading: provenance & papers to cite
citations.bib BibTeX for source catalogs
catalog_provenance.csv catalog_id → citation mapping + record counts

Not included here: source_records.csv (~62 MB row-level provenance) and Legacy Survey cutouts. Ask if you need them, or wait for a follow-up release.

Access

This compilation is not openly downloadable.

  • The dataset card is public so collaborators can find the project.
  • Data files are gated. Download is available only after the maintainers approve your access request.
  • Do not treat this table as an original discovery catalog.

Collaborators with approved access can then load:

from datasets import load_dataset

lens = load_dataset("jady-zhao/OneAstro_StrongLens", name="lens", split="train")
nonlens = load_dataset("jady-zhao/OneAstro_StrongLens", name="nonlens", split="train")

How the catalog was built

  1. Ingest public discovery / spectroscopic / meta catalogs into uniform source_records.
  2. Split sample_class = lens | nonlens (explicit negatives only).
  3. Spatially cluster within lens_type at 2 arcsec (union-find).
  4. Aggregate to one row per uid (SL2026_* lenses, NL2026_* non-lenses).
  5. Drop non-lens records that fall within 2″ of a known lens of the same type.

Full workflow notes: see project DATASET_DOCUMENTATION.md (copied as DATASET_DOCUMENTATION.md in this folder).

Status and confidence tiers (lens table)

Field Values Use
status confirmed / likely / candidate / unknown Evidence strength (strongest across sources)
confidence_tier L2 / L1 / L0 Training / validation split

Approximate counts (lens systems): L0 35,197 · L1 7,213 · L2 424 · confirmed 630.

Important: candidate means a positive selection by at least one catalog (weak evidence), not a non-lens.

Citation policy (please read)

If you use this compilation, please cite:

  1. This dataset (Hugging Face / forthcoming DOI).
  2. Every original catalog that contributed systems you actually use (see SOURCES_AND_CITATIONS.md).
    The sources column on each row lists contributing catalog_ids.

This product is a compilation and homogenization. Scientific credit belongs primarily to the discovery papers and survey teams listed in the provenance files.

License and access

This product is a compilation, not an original discovery catalog. It is not released under an open license. Public download is disabled.

  • Compilation metadata and aggregation: restricted; no redistribution.
  • Underlying catalog values: still governed by the original papers and archives.
  • Files: gated; access by maintainer approval for collaborators only.

If you are a project partner, request access on this page and wait for approval. Cite the original catalogs listed in SOURCES_AND_CITATIONS.md, not this compilation as a primary source.

Contact / project

OneAstronomy — strong gravitational lensing workstream (2026).

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