Datasets:
Download samples/finance/qa/finance_2GFQ.json from gfcfirefly/AV-QuantBench-Dataset: direct link, hf CLI and curl.
- Browser
- Download file 593 Bytes
-
https://huggingface.co/datasets/gfcfirefly/AV-QuantBench-Dataset/resolve/main/samples/finance/qa/finance_2GFQ.json
- Command line
-
hf download hf://datasets/gfcfirefly/AV-QuantBench-Dataset/samples/finance/qa/finance_2GFQ.json
-
curl -L -o finance_2GFQ.json https://huggingface.co/datasets/gfcfirefly/AV-QuantBench-Dataset/resolve/main/samples/finance/qa/finance_2GFQ.json
593 Bytes
| { | |
| "sample_id": "finance_2GFQ", | |
| "domain": "finance", | |
| "task_type": "Cross-Modal Conflict", | |
| "question": "Between t=10s and t=15s, does the acoustic momentum support the visual upward trend?", | |
| "ground_truth": "No. The visual candlestick structure trends upward, but the acoustic tempo decelerates because the underlying volume signal declines, indicating a bearish cross-modal divergence.", | |
| "algorithmic_metadata": { | |
| "primary_gradient": 8.501810227146379, | |
| "secondary_gradient": -81.46688869732877, | |
| "interval": [ | |
| 10, | |
| 15 | |
| ], | |
| "injected_conflict": true | |
| } | |
| } |