All datasets / WitneyWW
WitneyWW/hd-epic-object-memory-qa
The checks could not identify a recognised licence ID in the dataset's metadata.
- Declared licence
- other, from the tagEvidence: README.md at 0fcccbe
- Licence name on the card
- hd-epic-source-terms, link: https://hd-epic.github.io/Evidence: README.md at 0fcccbe
- Licence files
- No licence file at the top level of the repositoryEvidence: file list at 0fcccbe
- Declared sources
- None listed in the card metadata
- Access gated on Hugging Face
- No
Tasks
Citation text from the card
**Audio event audio_event_0002 ('rustle') spans 6.87s to 29.79s. How many total objects in object_memory cite audio_event_0002, demonstrating its non-discriminative nature?**
- ◦ 4 — `object_memory[1].identity.visual.segmentation.n_masks`
- ✅ **6**
- ◦ 1 — `object_memory[0].identity.visual.segmentation.n_masks`
- ◦ 2 — `object_memory[3].identity.visual.segmentation.n_masks`
**Pseudo ground truth** `6` — read from `audio_events.audio_event_0002.audio_event_id`
**Solution trajectory**
**Without the memory** `clap_events(wav)` → `audio_caption(wav)`
*Audio classifiers detect background rustles but cannot quantify how many visual object records cite them.*
**Answerable from** t = 29.79 s
---
**How many objects cite audio_event_0007 ('metal / plastic collision', 24.74-25.73s) in their identity/history?**
- ◦ 6 — `n_objects`
- ◦ 1 — `object_memory[0].identity.visual.segmentation.n_masks`
- ✅ **2**
- ◦ 4 — `object_memory[1].identity.visual.segmentation.n_masks`
**Pseudo ground truth** `2` — read from `audio_events.audio_event_0007.audio_event_id`
**Solution trajectory**
**Without the memory** `clap_events(wav)`
*CLAP isolates collision timestamps without mapping how many object instances share the attribution.*
**Answerable from** t = 25.73 s
---
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dataset_licence({ "id": "WitneyWW/hd-epic-object-memory-qa" })
signal: "unclear"
stated_licence: "other"
sources: 0