Update data: 5 units

- health_medicine/simglucose_safe_basal_control_instance_1/base/software
- health_medicine/wsi_tumor_localization_1/bounding_box/input
- legal/agora_governance_classify_instance_1/base/input
- legal/agora_governance_classify_instance_1/base/software
- legal/legal_dr_fees_01/base/input

tasks/health_medicine/simglucose_safe_basal_control_instance_1/base/software/README.md

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+# Software Notes
+
+This task does not require benchmark-owned GUI software.
+
+Agent-facing runtime truth lives under `input/runtime_env/`.
+The public Docker reproduction path lives under `input/public/runtime/`.

tasks/health_medicine/wsi_tumor_localization_1/bounding_box/input/runtime_env/pyproject.toml

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+[project]
+name = "wsi-tumor-localization-runtime"
+version = "0.1.0"
+requires-python = ">=3.10"
+dependencies = [
+  "numpy>=1.26,<3",
+  "openslide-python>=1.3,<2",
+  "pillow>=10,<13",
+  "shapely>=2,<3",
+]

tasks/health_medicine/wsi_tumor_localization_1/bounding_box/input/wsi_tools.py

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+
+import openslide
+import numpy as np
+from PIL import Image
+import time
+
+class WSINavigationEnvironment:
+    """Pre-built tool interface for agent WSI navigation."""
+    
+    def __init__(self, wsi_path):
+        self.slide = openslide.OpenSlide(wsi_path)
+        self.dimensions = self.slide.dimensions
+        self.level_count = self.slide.level_count
+        self.call_log = []
+
+    def get_slide_metadata(self):
+        self._log('get_slide_metadata', {})
+        return {
+            'dimensions_level0': self.dimensions,
+            'level_count': self.level_count,
+            'level_dimensions': {i: self.slide.level_dimensions[i] for i in range(self.level_count)},
+            'level_downsamples': {i: self.slide.level_downsamples[i] for i in range(self.level_count)},
+            'mpp': self.slide.properties.get('openslide.mpp-x', 'unknown'),
+        }
+
+    def get_thumbnail(self, size=1024):
+        self._log('get_thumbnail', {'size': size})
+        return self.slide.get_thumbnail((size, size))
+
+    def read_region(self, x, y, width, height, level=0):
+        x = max(0, min(x, self.dimensions[0]-1))
+        y = max(0, min(y, self.dimensions[1]-1))
+        level = max(0, min(level, self.level_count-1))
+        self._log('read_region', {'x':x,'y':y,'width':width,'height':height,'level':level})
+        return self.slide.read_region((x,y), level, (width,height))
+
+    def get_tissue_mask(self, level=-1):
+        if level == -1: level = self.level_count - 1
+        level = max(0, min(level, self.level_count-1))
+        self._log('get_tissue_mask', {'level': level})
+        dims = self.slide.level_dimensions[level]
+        thumb = self.slide.read_region((0,0), level, dims)
+        gray = np.mean(np.array(thumb.convert("RGB")), axis=2)
+        return ((gray < 220) & (gray > 10)).astype(np.uint8)
+
+    def _log(self, name, params):
+        self.call_log.append({'tool':name,'params':params,'timestamp':time.time()})
+
+    def close(self):
+        self.slide.close()

tasks/legal/agora_governance_classify_instance_1/base/software/README.txt

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+No special licensed software is required. The stable optional Python helper is software/python; standard text/JSON tools are already present on the VM. A browser is optional because the public documents are cached under input/documents/.

tasks/legal/agora_governance_classify_instance_1/base/software/python

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+#!/usr/bin/env bash
+set -euo pipefail
+exec /opt/cua-server/.venv/bin/python "$@"