Link reviewed Browser Eval implementation without changing task inputs

README.md

@@ -86,7 +86,7 @@ page = json.loads(rows[0]["task"])
 html, reference = page["html"], page["groundtruth_content"]
 ```
 
-For a raw-file download, `definitions.tar.gz` contains the same definition bytes as `definitions/`; verify them against `manifest.json`. Browser Eval selects its dataset and scorer through the [data lock](https://github.com/lexmount/browser-eval/blob/3acd045c4124ecd980561263b6f3e3c6bda70130/harness/benchmarks/data-lock.json). Its [benchmark guide](https://github.com/lexmount/browser-eval/blob/3acd045c4124ecd980561263b6f3e3c6bda70130/docs/benchmarks.md#webmainbench-runtime) explains the pinned runner and scorer. Execution starts at `scripts/run_webmainbench_benchmark.py`; `scripts/score_webmainbench_results.py` scores saved outputs.
+For a raw-file download, `definitions.tar.gz` contains the same definition bytes as `definitions/`; verify them against `manifest.json`. Browser Eval selects its dataset and scorer through the [data lock](https://github.com/lexmount/browser-eval/blob/f488414a6610a9871f3a6d2d8615b58090f16184/harness/benchmarks/data-lock.json). Its [benchmark guide](https://github.com/lexmount/browser-eval/blob/f488414a6610a9871f3a6d2d8615b58090f16184/docs/benchmarks.md#webmainbench-runtime) explains the pinned runner and scorer. Execution starts at `scripts/run_webmainbench_benchmark.py`; `scripts/score_webmainbench_results.py` scores saved outputs.
 
 The 545-page scorer measures text, code, formula and table edit similarity, plus table structural similarity (TEDS). Report the components, their applicable populations and the selected aggregation. The full upstream corpus's ROUGE evaluation is a separate protocol. Provider outputs and measured scores are not included in this dataset.
 
@@ -98,6 +98,6 @@ Please cite the upstream work and identify this corrected dataset revision:
 
 > Liu et al. (2025). [Dripper: Token-Efficient Main HTML Extraction with a Lightweight LM](https://huggingface.co/datasets/opendatalab/WebMainBench).
 
-For the execution and reporting harness, cite [Browser Eval: Benchmarking Browsers and Web Tools for AI Agents](https://github.com/lexmount/browser-eval/blob/3acd045c4124ecd980561263b6f3e3c6bda70130/CITATION.cff).
+For the execution and reporting harness, cite [Browser Eval: Benchmarking Browsers and Web Tools for AI Agents](https://github.com/lexmount/browser-eval/blob/f488414a6610a9871f3a6d2d8615b58090f16184/CITATION.cff).
 
 Related datasets: [LexBench Web Fetch](https://huggingface.co/datasets/Lexmount/lexbench-webfetch) covers additional fetch tasks; [LexBench Web Search](https://huggingface.co/datasets/Lexmount/lexbench-websearch) and its separate [SimpleQA Verified retrieval edition](https://huggingface.co/datasets/Lexmount/lexbench-simpleqa-verified) cover search. Their task populations and evaluation contracts are separate from these extraction pages.

manifest.json

@@ -64,7 +64,7 @@
   "source_revision": "65b49124b923e59f3cfcd839ee1af4628c36f340",
   "tooling": {
     "repository": "https://github.com/lexmount/browser-eval",
-    "revision": "3acd045c4124ecd980561263b6f3e3c6bda70130"
+    "revision": "f488414a6610a9871f3a6d2d8615b58090f16184"
   },
   "track": "webmainbench",
   "viewer": {