feat(rows): exclude heavy binary columns from /rows response to avoid UI lag (#3052)#3209
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ArjunJagdale wants to merge 1 commit intohuggingface:mainfrom
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feat(rows): exclude heavy binary columns from /rows response to avoid UI lag (#3052)#3209ArjunJagdale wants to merge 1 commit intohuggingface:mainfrom
ArjunJagdale wants to merge 1 commit intohuggingface:mainfrom
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…e_latents from /rows output feat(rows): exclude heavy binary columns like t5_prompt_embeds and vae_latents from /rows output This change introduces a safeguard against rendering performance issues in the Dataset Viewer by skipping certain heavy binary columns (e.g., ~5KB per row) that are not useful for display. Currently hardcoded to drop columns like "t5_prompt_embeds" and "vae_latents", which caused UI freezing in datasets like `frutiemax/themoviedb_posters`. This is handled right before response construction in the /rows endpoint.
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Fixes: #3052
This PR improves the responsiveness of the Dataset Viewer by skipping binary-heavy columns (e.g.,
t5_prompt_embeds,vae_latents) from the/rowsendpoint payload.These columns typically contain thousands of bytes per row and are not meaningful in the UI. The change introduces a hardcoded exclusion list (
EXCLUDED_COLUMNS) and drops those columns from the finalpyarrow.Tablebefore response generation.Tested manually using datasets with large binary columns and confirmed a reduction in payload size and frontend lag.
Future improvements could include: