flickr30k
2b239be · updated 3y ago · Hugging Face · dc0e7bd2566db98c0ded9ad42de7431206f5dbeb4bc7e573600b32ac6a1f26e6
Flickr30k Original paper: From image descriptions to visual denotations: New similarity metrics for semantic inference over event descriptions Homepage: https://shannon.cs.illinois.edu/DenotationGraph/ Bibtex: @article{young2014image, title={From image descriptions to visual denotations: New similarity metrics for semantic inference over event descriptions}, author={Young, Peter and Lai, Alice and Hodosh, Micah and Hockenmaier, Julia}, journal={Transactions of the… See the full description on the dataset page: https://huggingface.co/datasets/nlphuji/flickr30k.
Documentation Coverage reflects what was present in the Hugging Face record on August 7, 2026. A field marked "not found" means Archivum did not locate it in the published metadata — not that the dataset lacks that property. How coverage is measured
Records
31,014
Size
4.4 GB
Languages
Not stated
Modality
multimodal
Domain
—
First published
Jan 19, 2023
Last checked
Aug 7, 2026
Platform
Hugging Face
Lineage
The steps this dataset documents between its original sources and the version at the platform. Stages the source does not document are shown as gaps, not hidden.
- Original source: undocumented
- Raw acquisition: undocumented
- Cleaning: undocumented
- Annotation: undocumented
- Embedding: undocumented
- Current version: Documented, nlphuji, Jan 19, 2023
Stage passport
The record as published at the source.
4 stages undocumented. Gaps lower the lineage-completeness factor and are shown, not hidden.
Licence
Terms as published by the source. Archivum reports what the record states — this is not legal advice.
Commercial terms
terms not stated
Declared licence
Not stated
Version history
Per-version coverage makes documentation drift visible over time.
First recorded at Archivum.
Aug 7, 2026v1nlphuji+0 / −0 rowscoverage 36%
Schema
Not documented at the source.
Sample records
Not documented at the source.
Integrate
from archivum import Client
client = Client()
ds = client.pull("huggingface-nlphuji-flickr30k", version="2b239be")
print(ds.coverage.total) # % documented
print(ds.license.spdx) # licence as published
ds.export("llamaindex") # provenance travels with the data