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DataComp: fixed-recipe multimodal dataset experiments

Provided candidate image-text pools, fixed CLIP training/evaluation recipes and compute-scaled tracks, with DataComp-1B demonstrating the importance of filtering under controlled training conditions.

What is recorded here?

Provided candidate image-text pools, fixed CLIP training/evaluation recipes and compute-scaled tracks, with DataComp-1B demonstrating the importance of filtering under controlled training conditions.

Source-linked catalogue note. A detailed explanatory guide has not yet been prepared for this entry.

Scientific scope

Inherits CLIP and web-pair collection rather than inventing them. Ninefold compute comparison involves a larger LAION-trained architecture; not a universally hardware-matched data-only speedup. Fixed test suites do not guarantee uncontaminated or universal real-world generalization.

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People and systems

Samir Yitzhak Gadre; Gabriel Ilharco; Alex Fang; Jonathan Hayase; Georgios Smyrnis; Thao Nguyen; Ryan Marten; Mitchell Wortsman; Dhruba Ghosh; Jieyu Zhang; Eyal Orgad; Rahim Entezari; Giannis Daras; Sarah Pratt; Vivek Ramanujan; Yonatan Bitton; Kalyani Marathe; Stephen Mussmann; Richard Vencu; Mehdi Cherti; Ranjay Krishna; Pang Wei Koh; Olga Saukh; Alexander Ratner; Shuran Song; Hannaneh Hajishirzi; Ali Farhadi; Romain Beaumont; Sewoong Oh; Alexandros G. Dimakis; Jenia Jitsev; Yair Carmon; Vaishaal Shankar; Ludwig Schmidt

Source-listed authors or explicitly credited technical contributors for the cited versions. Family entries retain source-specific attribution; a combined list is not one original-paper byline or equal individual work. Names alone do not establish resolved identities.

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English catalogue narrative

DataComp: fixed-recipe multimodal dataset experiments

Provided candidate image-text pools, fixed CLIP training/evaluation recipes and compute-scaled tracks, with DataComp-1B demonstrating the importance of filtering under controlled training conditions.

Scientific scope

Inherits CLIP and web-pair collection rather than inventing them. Ninefold compute comparison involves a larger LAION-trained architecture; not a universally hardware-matched data-only speedup. Fixed test suites do not guarantee uncontaminated or universal real-world generalization.

Reading status

This is a source-linked WRS catalogue note. A full explanatory guide and independent scientific reconstruction have not been completed for this entry. Read the identified original work for its complete narrative and arguments.

People and systems

Samir Yitzhak Gadre; Gabriel Ilharco; Alex Fang; Jonathan Hayase; Georgios Smyrnis; Thao Nguyen; Ryan Marten; Mitchell Wortsman; Dhruba Ghosh; Jieyu Zhang; Eyal Orgad; Rahim Entezari; Giannis Daras; Sarah Pratt; Vivek Ramanujan; Yonatan Bitton; Kalyani Marathe; Stephen Mussmann; Richard Vencu; Mehdi Cherti; Ranjay Krishna; Pang Wei Koh; Olga Saukh; Alexander Ratner; Shuran Song; Hannaneh Hajishirzi; Ali Farhadi; Romain Beaumont; Sewoong Oh; Alexandros G. Dimakis; Jenia Jitsev; Yair Carmon; Vaishaal Shankar; Ludwig Schmidt

Source-listed authors or explicitly credited technical contributors for the cited versions. Family entries retain source-specific attribution; a combined list is not one original-paper byline or equal individual work. Names alone do not establish resolved identities.

Original sources