Download data/qa_check_50k.json from ChengyiX/ornith-256k-bench: direct link, hf CLI and curl.
- Browser
- Download file 608 Bytes
-
https://huggingface.co/datasets/ChengyiX/ornith-256k-bench/resolve/main/data/qa_check_50k.json
- Command line
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hf download hf://datasets/ChengyiX/ornith-256k-bench/data/qa_check_50k.json
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curl -L -o qa_check_50k.json https://huggingface.co/datasets/ChengyiX/ornith-256k-bench/resolve/main/data/qa_check_50k.json
608 Bytes
| [ | |
| { | |
| "test": "needle", | |
| "ctx_target": 50000, | |
| "prompt_tokens": 67511, | |
| "found": "5/5", | |
| "pass": true, | |
| "latency_s": 251.1, | |
| "answer_head": "ZEBRA-7741, LANTERN-3382, QUARTZ-9056, HARBOR-1173, MEADOW-6649" | |
| }, | |
| { | |
| "test": "coding", | |
| "has_signature": true, | |
| "has_guard": true, | |
| "plausible_on": true, | |
| "gen_tokens": 104, | |
| "latency_s": 2.7, | |
| "answer_head": "```python def moving_average(nums: list[float], k: int) -> list[float]: if k <= 0 or k > len(nums): return [] result = [] current_sum = sum(nums[:k]) result.append(current" | |
| } | |
| ] | |