Comprising processed locomotion data from Drosophila fruit flies, derived from a 2019 eLife publication. It was used to develop the Carré du champ flow matching generative model in a 2026 ICLR paper. The row count, column count, and specific features are unknown.
Use Cases
- Train generative models like CDC-FM on processed locomotion sequences for motion synthesis.
- Analyze limb coordination patterns derived from the original Drosophila walking data.
- Benchmark novel generative algorithms against the data used in the CDC-FM paper.
Strengths
- Data is directly associated with a peer-reviewed ICLR 2026 publication on generative models.
- Derived from a foundational 2019 eLife study on Drosophila limb coordination.
- Hosted on the Harvard Dataverse platform, indicating institutional backing.
Limitations
- The specific processed features, row count, and column structure are unknown.
- The dataset's size, file formats, and license are not specified.
- Without column details, the analytical scope and potential for direct replication are limited.
Provenance
- Source
- Derived from data published by DeAngelis, Zavatone-Veth, and Clark in eLife 2019.
- Collection Method
- Processed from raw Drosophila locomotion tracking data.
- Time Range
- null
- Freshness
- Last updated on February 12, 2026.
- Geography
- null