Document benchmark scope and reproducible Browser Eval usage

README.md

@@ -42,7 +42,7 @@ The `factual-v1` configuration contains every question in the pinned 1,000-row p
 
 Publisher row order, question text and reference answer text are retained. Case IDs use `sqv-` followed by the publisher's `original_index`, preserving the link to OpenAI SimpleQA. Supporting URLs are split from the CSV field, deduplicated in order, and stripped of unmatched trailing closing parentheses. Topic and answer-type labels are retained. The publisher's `multi_step` and `requires_reasoning` fields are not part of these derived task records.
 
-[The source manifest](definitions/factual-source.json) records the exact publisher CSV revision and SHA-256, selection rule and expected counts. [The selection implementation](https://github.com/lexmount/browser-eval/blob/e782f972fec7a8482e2e0b9aa90757c86f1f6e05/lexbench_websearch/simpleqa.py) rebuilds the population from that input. This release contains no search-provider rankings, relevance grades or measured results.
+[The source manifest](definitions/factual-source.json) records the exact publisher CSV revision and SHA-256, selection rule and expected counts. [The selection implementation](https://github.com/lexmount/browser-eval/blob/7199af4ebccb3f81d7619f403f442eeaaa3b7704/lexbench_websearch/simpleqa.py) rebuilds the population from that input. This release contains no search-provider rankings, relevance grades or measured results.
 
 ## Data and schema
 
@@ -74,7 +74,7 @@ query = task["query"]
 answer, supporting_urls = task["reference_answer"], task["reference_urls"]
 ```
 
-`definitions.tar.gz` contains the same definition bytes as `definitions/`. Browser Eval's [data lock](https://github.com/lexmount/browser-eval/blob/e782f972fec7a8482e2e0b9aa90757c86f1f6e05/harness/benchmarks/data-lock.json) selects the installed snapshot. Follow the [Web Search guide](https://github.com/lexmount/browser-eval/blob/e782f972fec7a8482e2e0b9aa90757c86f1f6e05/harness/web_search/README.md) to declare a profile, collect provider responses and build a report with saved evidence. The certified collector is `scripts/run_certified_benchmark.py web-search`.
+`definitions.tar.gz` contains the same definition bytes as `definitions/`. Browser Eval's [data lock](https://github.com/lexmount/browser-eval/blob/7199af4ebccb3f81d7619f403f442eeaaa3b7704/harness/benchmarks/data-lock.json) selects the installed snapshot. Follow the [Web Search guide](https://github.com/lexmount/browser-eval/blob/7199af4ebccb3f81d7619f403f442eeaaa3b7704/harness/web_search/README.md) to declare a profile, collect provider responses and build a report with saved evidence. The certified collector is `scripts/run_certified_benchmark.py web-search`.
 
 Reference Hit@k tests whether a supplied supporting URL appears in the first k results; MRR@k measures the first such hit's reciprocal rank. Answer Match@k checks answer cues in returned text. Source references are not an exhaustive set of relevant pages, and lexical answer matches do not establish that a result correctly answers the question. Report these measures separately from graded relevance. Searchable copies of the dataset can also create contamination; Browser Eval exposes a separate contamination diagnostic while retaining the original results.
 
@@ -88,6 +88,6 @@ Cite both upstream works when using this derivative, and identify the selected d
 >
 > Wei et al. (2024). [Measuring Short-Form Factuality in Large Language Models](https://github.com/openai/simple-evals). OpenAI SimpleQA.
 
-For the harness, cite [Browser Eval: Benchmarking Browsers and Web Tools for AI Agents](https://github.com/lexmount/browser-eval/blob/e782f972fec7a8482e2e0b9aa90757c86f1f6e05/CITATION.cff).
+For the harness, cite [Browser Eval: Benchmarking Browsers and Web Tools for AI Agents](https://github.com/lexmount/browser-eval/blob/7199af4ebccb3f81d7619f403f442eeaaa3b7704/CITATION.cff).
 
 [LexBench Web Search](https://huggingface.co/datasets/Lexmount/lexbench-websearch) contains the separate scenario-query suites. [LexBench Web Fetch](https://huggingface.co/datasets/Lexmount/lexbench-webfetch) and [LexBench WebMainBench](https://huggingface.co/datasets/Lexmount/lexbench-webmainbench) evaluate fetching and extraction with their own task populations.

manifest.json

@@ -50,7 +50,7 @@
   "source_revision": "0e4c0cd7d828dc80f0a701886d208cc6c0d598e9",
   "tooling": {
     "repository": "https://github.com/lexmount/browser-eval",
-    "revision": "e782f972fec7a8482e2e0b9aa90757c86f1f6e05"
+    "revision": "7199af4ebccb3f81d7619f403f442eeaaa3b7704"
   },
   "track": "simpleqa-verified",
   "viewer": {