Datasets:
Add default inference system prompt
Browse files- pointerbench-sheets/eval.py +19 -1
pointerbench-sheets/eval.py
CHANGED
|
@@ -14,6 +14,7 @@ Accepted point keys: "point" / "pred" / "coordinate", or flat "x" and "y".
|
|
| 14 |
Coordinates are absolute pixels on the 1024x768 image.
|
| 15 |
|
| 16 |
Usage:
|
|
|
|
| 17 |
python eval.py --predictions preds.jsonl
|
| 18 |
python eval.py --predictions preds.jsonl --json report.json
|
| 19 |
"""
|
|
@@ -28,6 +29,15 @@ from pathlib import Path
|
|
| 28 |
ROOT = Path(__file__).resolve().parent
|
| 29 |
GT_PATH = ROOT / "data" / "test" / "metadata.jsonl"
|
| 30 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 31 |
|
| 32 |
def _load_jsonl(path: Path) -> list[dict]:
|
| 33 |
text = path.read_text(encoding="utf-8").strip()
|
|
@@ -108,7 +118,9 @@ def _print(report: dict) -> None:
|
|
| 108 |
def main() -> None:
|
| 109 |
ap = argparse.ArgumentParser(description=__doc__,
|
| 110 |
formatter_class=argparse.RawDescriptionHelpFormatter)
|
| 111 |
-
ap.add_argument("--
|
|
|
|
|
|
|
| 112 |
help="JSONL/JSON predictions: {id, point:[x,y]} per example")
|
| 113 |
ap.add_argument("--gt", type=Path, default=GT_PATH,
|
| 114 |
help=f"ground-truth metadata (default: {GT_PATH})")
|
|
@@ -116,6 +128,12 @@ def main() -> None:
|
|
| 116 |
help="also write the full report to this JSON path")
|
| 117 |
args = ap.parse_args()
|
| 118 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 119 |
gt = _load_jsonl(args.gt)
|
| 120 |
preds = {r["id"]: r for r in _load_jsonl(args.predictions) if "id" in r}
|
| 121 |
report = evaluate(gt, preds)
|
|
|
|
| 14 |
Coordinates are absolute pixels on the 1024x768 image.
|
| 15 |
|
| 16 |
Usage:
|
| 17 |
+
python eval.py --show-system-prompt
|
| 18 |
python eval.py --predictions preds.jsonl
|
| 19 |
python eval.py --predictions preds.jsonl --json report.json
|
| 20 |
"""
|
|
|
|
| 29 |
ROOT = Path(__file__).resolve().parent
|
| 30 |
GT_PATH = ROOT / "data" / "test" / "metadata.jsonl"
|
| 31 |
|
| 32 |
+
DEFAULT_SYSTEM_PROMPT = (
|
| 33 |
+
"You are evaluating Pointerbench, a GUI grounding benchmark. "
|
| 34 |
+
"You will receive one 1024x768 screenshot and one task instruction. "
|
| 35 |
+
"Use absolute pixel coordinates with origin at the top-left of the image. "
|
| 36 |
+
"Do not return normalized coordinates. Do not crop or resize the coordinate frame. "
|
| 37 |
+
"For point tasks, return JSON like {\"point\": [x, y]}. "
|
| 38 |
+
"For bounding-box tasks, return JSON like {\"bbox\": [x0, y0, x1, y1]}."
|
| 39 |
+
)
|
| 40 |
+
|
| 41 |
|
| 42 |
def _load_jsonl(path: Path) -> list[dict]:
|
| 43 |
text = path.read_text(encoding="utf-8").strip()
|
|
|
|
| 118 |
def main() -> None:
|
| 119 |
ap = argparse.ArgumentParser(description=__doc__,
|
| 120 |
formatter_class=argparse.RawDescriptionHelpFormatter)
|
| 121 |
+
ap.add_argument("--show-system-prompt", action="store_true",
|
| 122 |
+
help="print the recommended inference system prompt and exit")
|
| 123 |
+
ap.add_argument("--predictions", type=Path,
|
| 124 |
help="JSONL/JSON predictions: {id, point:[x,y]} per example")
|
| 125 |
ap.add_argument("--gt", type=Path, default=GT_PATH,
|
| 126 |
help=f"ground-truth metadata (default: {GT_PATH})")
|
|
|
|
| 128 |
help="also write the full report to this JSON path")
|
| 129 |
args = ap.parse_args()
|
| 130 |
|
| 131 |
+
if args.show_system_prompt:
|
| 132 |
+
print(DEFAULT_SYSTEM_PROMPT)
|
| 133 |
+
return
|
| 134 |
+
if args.predictions is None:
|
| 135 |
+
ap.error("--predictions is required unless --show-system-prompt is used")
|
| 136 |
+
|
| 137 |
gt = _load_jsonl(args.gt)
|
| 138 |
preds = {r["id"]: r for r in _load_jsonl(args.predictions) if "id" in r}
|
| 139 |
report = evaluate(gt, preds)
|