## HRBench8K in this pool contains only ONE option rotation — read before using it

`<res>/HRBench8K.tsv` was sampled from HRBench's CircularEval set keeping only
`cycle_category == 0`, so **all 151 answers are `A`**. A model that always answers "A" scores
100%, and any accuracy computed on it as-shipped is meaningless. Signature: the file carries a
`cycle_category` column that is 0 everywhere, and its `index` values step by 4 (0, 12, 16, 24 …)
because every 4th row of the original was taken.

This affects **only HRBench8K**. Every other benchmark here was checked and is fine
(`AMBER`/`WildDoc` have a single label because they genuinely are single-label sets, not because
of rotation sampling).

### Fix: `HRBench8K_rotation_fix.tsv`

A 50 KB sidecar that re-deals one rotation per question so the labels are balanced
(`A:38 B:38 C:38 D:37`, majority class 25.2% = chance). Join on `index` and override
`answer`, `A`, `B`, `C`, `D`:

```python
import csv, sys
csv.field_size_limit(sys.maxsize)
fix = {r["index"]: r for r in csv.DictReader(open("HRBench8K_rotation_fix.tsv"), delimiter="\t")}
for row in csv.DictReader(open("1k/HRBench8K.tsv"), delimiter="\t"):   # any <res>
    f = fix[row["index"]]
    row.update({k: f[k] for k in ("answer", "A", "B", "C", "D", "cycle_category")})
    # row["image"] is untouched
```

The correct answer **content** is unchanged for all 151 questions — only which letter carries it
moves — and the same question gets the same rotation at every resolution, so cross-resolution
comparisons stay valid. `original_answer` preserves the old value; `cycle_category` records which
rotation the row now is.

Options and answers are identical across all five rungs (verified 151/151 for 256/512/4k/8k
against 1k), so this one file serves every resolution.

### If you want full CircularEval instead
Generate all four rotations per question (588 rows) rather than one: rotation *k* places the
option at original position *i* at position *(i+k)%4*, and the answer letter follows the correct
content. That gives mean-per-cycle and strict-4/4 metrics, at 4x the rows.