Rename Browser Eval references to Webstone

The GitHub repository lexmount/browser-eval is now lexmount/webstone. Prose and links only; manifest.json, snapshots.json and definitions/ are unchanged, so pinned revisions and hashes stay valid.

README.md

@@ -6,7 +6,7 @@ license:
 tags:
 - benchmark
 - evaluation
-- browser-eval
+- webstone
 - web-search
 - information-retrieval
 - retrieval-evaluation
@@ -30,7 +30,7 @@ configs:
 
 Short name: **LB-SQAV**.
 
-A 831-question retrieval edition of [Google SimpleQA Verified](https://huggingface.co/datasets/google/simpleqa-verified), used by [Browser Eval](https://github.com/lexmount/browser-eval) to compare search tools. It retains publisher questions, reference answers and supporting URLs so a search result list can be checked for reference-page retrieval and answer-bearing text.
+A 831-question retrieval edition of [Google SimpleQA Verified](https://huggingface.co/datasets/google/simpleqa-verified), used by [Webstone](https://github.com/lexmount/webstone) to compare search tools. It retains publisher questions, reference answers and supporting URLs so a search result list can be checked for reference-page retrieval and answer-bearing text.
 
 Google DeepMind and Google Research designed the original benchmark to measure a model's factual knowledge without search tools. This derivative changes the task to retrieval evaluation. Its retrieval metrics are not official SimpleQA Verified accuracy or evidence of a model's closed-book factual knowledge.
 
@@ -46,7 +46,7 @@ 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/d3a474c85b0c0249b11edf3e712bcd6284d9b008/src/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/webstone/blob/d3a474c85b0c0249b11edf3e712bcd6284d9b008/src/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
 
@@ -78,9 +78,9 @@ 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/d3a474c85b0c0249b11edf3e712bcd6284d9b008/harness/benchmarks/data-lock.json) selects the installed snapshot. Follow the [Web Search guide](https://github.com/lexmount/browser-eval/blob/d3a474c85b0c0249b11edf3e712bcd6284d9b008/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/`. Webstone's [data lock](https://github.com/lexmount/webstone/blob/d3a474c85b0c0249b11edf3e712bcd6284d9b008/harness/benchmarks/data-lock.json) selects the installed snapshot. Follow the [Web Search guide](https://github.com/lexmount/webstone/blob/d3a474c85b0c0249b11edf3e712bcd6284d9b008/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.
+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; Webstone exposes a separate contamination diagnostic while retaining the original results.
 
 ## License and citations
 
@@ -92,6 +92,6 @@ 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/d3a474c85b0c0249b11edf3e712bcd6284d9b008/CITATION.cff).
+For the harness, cite [Webstone: Benchmarking Browsers and Web Tools for AI Agents](https://github.com/lexmount/webstone/blob/d3a474c85b0c0249b11edf3e712bcd6284d9b008/CITATION.cff).
 
 [LexBench-Web-Search](https://huggingface.co/datasets/Lexmount/LexBench-Web-Search) contains the separate scenario-query suites. [LexBench-Web-Fetch](https://huggingface.co/datasets/Lexmount/LexBench-Web-Fetch) and [LexBench-WebMainBench](https://huggingface.co/datasets/Lexmount/LexBench-WebMainBench) evaluate fetching and extraction with their own task populations.