Datasets:
Download samples/iiot/qa/iiot_2AC3.json from gfcfirefly/AV-QuantBench-Dataset: direct link, hf CLI and curl.
- Browser
- Download file 550 Bytes
-
https://huggingface.co/datasets/gfcfirefly/AV-QuantBench-Dataset/resolve/main/samples/iiot/qa/iiot_2AC3.json
- Command line
-
hf download hf://datasets/gfcfirefly/AV-QuantBench-Dataset/samples/iiot/qa/iiot_2AC3.json
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curl -L -o iiot_2AC3.json https://huggingface.co/datasets/gfcfirefly/AV-QuantBench-Dataset/resolve/main/samples/iiot/qa/iiot_2AC3.json
550 Bytes
| { | |
| "sample_id": "iiot_2AC3", | |
| "domain": "iiot", | |
| "task_type": "Cross-Modal Alignment", | |
| "question": "Between t=10s and t=15s, does the acoustic signal support a stable machine state consistent with the visual motion pattern?", | |
| "ground_truth": "Yes. The visual motion pattern and the acoustic state are broadly aligned during the final interval.", | |
| "algorithmic_metadata": { | |
| "primary_gradient": 66.04242652913854, | |
| "secondary_gradient": -0.024292970096707, | |
| "interval": [ | |
| 10, | |
| 15 | |
| ], | |
| "injected_conflict": false | |
| } | |
| } |