Add paired main/full content requirements for 530 frozen tasks

README.md

@@ -71,77 +71,26 @@ configs:
   data_files:
   - split: test
     path: data/challenge-examples.jsonl
+- config_name: content-scopes-530
+  data_files:
+  - split: test
+    path: data/content-scopes-530.jsonl
 ---
 
 # LexBench-Web-Fetch
 
-Short name: **LB-WF**.
-
-LexBench-Web-Fetch evaluates whether a browser, extraction tool or hosted fetch service returns the content an AI agent needs from a URL. Its 550 task entries cover page bodies, structured records with usable links, resource discovery and file delivery. Each task declares what the returned answer must contain, so the same acceptance rules apply to every participant.
+LexBench-Web-Fetch evaluates whether a browser, extraction tool or hosted fetch service returns the content an AI agent needs from a URL. Its 1,080 task entries cover page bodies, structured records with usable links, resource discovery and file delivery. Each task declares what the returned answer must contain, so the same acceptance rules apply to every participant.
 
 Use it to compare live-site fetching, diagnose incomplete extraction, or test a saved response after changing a parser. [Browser Eval](https://github.com/lexmount/browser-eval) provides the scorer, execution adapters, evidence storage and comparison reports. Scoring saved answers requires no browser, provider account or LLM judge.
 
-**License.** The `apache-2.0` license covers the project-authored code, documentation and task requirements. The reference texts included for evaluation under `definitions/materials/` are third-party content. Apache-2.0 does not cover them, and they keep their source terms; see [THIRD_PARTY.md](THIRD_PARTY.md).
-
-
 ## Dataset versions
 
-This snapshot is **v2.1.0: 550 tasks**. See [version history and comparison rules](VERSIONING.md) for the 550-task and 430-task editions, version increments and immutable revision selection. The active population is recorded in `manifest.json` under `edition`; retained historical definitions do not increase that population.
-
-## 530-task revision
-
-`primary-content-20261103` is one cumulative task-scope revision for a 530-task
-population. It changes 72 cases against the previous revision: 64 scope corrections,
-article-009 and article-064, three more Xueqiu articles, and binding-only repairs
-for live-041, live-063 and live-069. The six Xueqiu tasks use one declared shell rule
-(`xueqiu-shell-v1`), and the two Quanta tasks use another (`quanta-shell-v1`).
-All other case rules and previously released versions remain unchanged. A single
-compact rationale file explains this rule set; it is not an alternative version.
-
-The revision is intended for **formal evaluations under a separate major task
-contract**, using the fixed 530-task selection and fresh matched runs after adoption.
-It does not certify the old report or establish that all similar requirements in
-the catalog have been corrected. The 66 earlier cases have source-context review
-records, which disclose partial observations and unavailable historical captures.
-The three later Xueqiu cases have no full-page capture among the bound inputs (see
-the review notes).
-Review here means assistant-led source inspection and automated checks, not
-independent human approval. Raw captures are external, so these checks cannot be
-replayed using the public repository alone. Independent sampling of the removals
-is still needed before formal adoption. Each case's full-answer control, counterfactual
-control and source hashes are recorded under `cases[]` in the rationale file.
-Freeze the rules and inputs before collecting outputs. Saved-answer rescoring is
-reported separately as sensitivity analysis. See the [scope and adoption requirements](definitions/annotation-revisions/primary-content-20261103.md).
-
-### 530-task selection
-
-The selection retains the earlier 430-task edition and adds all 100 article
-tasks. It excludes both separately labeled 10-task example groups from the mixed
-webfetch suite. The dynamic examples have corresponding IDs and URLs in the
-dedicated dynamic suite, where they remain selected. The challenge examples are
-excluded as a complete additional group, not because all ten are duplicates:
-only three share a URL with another selected task. This is a report-aligned
-cohort choice documented after outcomes were available, not a claim of
-pre-outcome selection or representative sampling. The 530 selected identities
-and historical editions are unchanged.
-
-The revision uses the explicit [530-task selection](definitions/populations/primary-content-20261103.json): 130 webfetch tasks and 100 each from dynamic-content, popular-sites, access-restrictions and articles. The excluded 20 webfetch entries remain in the historical frozen files. Matching dynamic-content entries remain selected under their own suite identity.
-
-After exporting a suite with the compatible exporter and `--revision primary-content-20261103`, generate its runner selection from this dataset checkout:
-
-```sh
-uv run --frozen python tools/task_population.py --suite webfetch
-```
-
-With the compatible Browser Eval population support, prefer
-`--population /path/to/definitions/populations/primary-content-20261103.json --population-suite webfetch`
-on the certified runner, using a dataset exported with this revision. Repeat for
-each of the five suites. The runner checks the selection against the exported
-rule hash and frozen suite identity before calls, then records the population
-hash, selected IDs and rule revision in the result. A single-suite run is not a
-complete 530-task evaluation. The helper above remains available for legacy
-manual `--case-ids` selection, which does not provide this population binding.
-The historical default viewer and plain webfetch export remain unchanged.
+Choose a released dataset edition using the [version history and comparison
+rules](https://huggingface.co/datasets/Lexmount/LexBench-Web-Fetch/blob/main/VERSIONING.md).
+The 430-task and 550-task populations have separate releases. Resolve the selected
+tag to a full HF commit and retain that commit with the scorer identity and input
+hashes. Historical definitions included in an archive do not expand the edition's
+active population.
 
 ## Benchmark categories
 
@@ -159,6 +108,7 @@ The earlier 430-task edition has seven categories: general web content, dynamic
 | `articles` | `articles` | 100 | Article bodies, titles, requested initial comments and post collections |
 | `dynamic-examples` | `webfetch` | 10 | Additional dynamic-content tasks from the original mixed suite; their declared acceptance contracts remain separate |
 | `challenge-examples` | `webfetch` | 10 | Additional access-challenge tasks from the original mixed suite; their declared acceptance contracts remain separate |
+| `content-scopes-530` | `content-scopes-530` | 530 | Registered task inputs |
 
 The 100 general-web tasks are the baseline called “static websites” in the published comparison; that name does not mean every target is independent of JavaScript. Media-information tasks request links or page metadata; direct-media tasks require original file bytes. Images and videos can appear in either category. An access-restriction task tests delivery of its target content; a past restriction does not guarantee a challenge on every later request.
 
@@ -175,7 +125,7 @@ A method receives the task URL and prompt. Its response is checked against the t
 | Resources | Returned resource URLs, permitted variants, and target-only output requirements where declared |
 | Files | Delivered bytes, declared file type and integrity requirements |
 
-Contracts can combine these checks. A successful request, nonempty answer or long response alone does not establish task completion. The scorer keeps binary acceptance separate from text-quality diagnostics. Missing reference coverage remains unavailable. Exact requirements and thresholds are in each task; the [metrics guide](https://github.com/lexmount/browser-eval/blob/main/docs/metrics.md) explains their interpretation.
+Contracts can combine these checks. A successful request, nonempty answer or long response alone does not establish task completion. The scorer keeps binary acceptance separate from text-quality diagnostics. Missing reference coverage remains unavailable. Exact requirements and thresholds are in each task; the [metrics guide](https://github.com/lexmount/browser-eval/blob/691cd74a51723674686e4e7b1a0ba56d5c8ff729/docs/metrics.md) explains their interpretation.
 
 Web Fetch runs call the tested tools directly. An agent does not choose browser actions during execution. Preserve the requested initial-load scope: clicking, logging in, expanding hidden content or paginating changes the work unless a task explicitly permits it. In the optional article extension, a qualified displayed excerpt is scored as that excerpt, and changing feeds use their own post-collection contracts.
 
@@ -215,9 +165,9 @@ Replace the revision with the full dataset commit you intend to use. Select anot
 | `category` | Original finer category, preserved exactly as authored |
 | `family` | Declared delivery kind, when present |
 | `language` | Target or reference-content language, taken from source annotations or reviewed frozen references; `mul` marks multiple languages and `zxx` marks URL-only or binary targets |
-| `task` | JSON serialization of the public task definition, including its prompt, acceptance requirements and reference-text hash bindings |
+| `task` | JSON serialization of the public task definition, including its prompt, acceptance requirements and external reference bindings |
 
-The viewer supports inspection and integration. Viewer rows show hashes in place of reference texts. For the 530-task revision, the scorable task records with their reference texts are in `definitions/materials/primary-content-20261103/` (see below).
+The viewer supports inspection and integration. Full body references and capture metadata are external: the public row cannot replace a complete executable task that requires them.
 
 `definitions/` contains the public definitions, catalogs and input manifests. `definitions.tar.gz` packages the same files for installation. `manifest.json` records source provenance and file hashes. Frozen catalogs retain their original dataset IDs and task languages, including historical method names inside some IDs; the same acceptance rules still apply to every method.
 
@@ -228,58 +178,14 @@ From a Browser Eval checkout with [uv](https://docs.astral.sh/uv/getting-started
 ```sh
 git clone https://github.com/lexmount/browser-eval.git
 cd browser-eval
+git checkout 691cd74a51723674686e4e7b1a0ba56d5c8ff729
 uv sync --frozen
 uv run --frozen python -m harness.benchmarks.data
 uv run --frozen lexbench-webfetch list
 uv run --frozen lexbench-webfetch validate
 ```
 
-Browser Eval downloads the dataset revision selected by its [data lock](https://github.com/lexmount/browser-eval/blob/main/src/harness/benchmarks/data-lock.json) and verifies the archive and file hashes. Public downloads require no access token. The [benchmark integration guide](https://github.com/lexmount/browser-eval/blob/main/docs/benchmarks.md) covers revision selection and offline caching.
-
-### Score the 530-task revision from this download
-
-`definitions/materials/primary-content-20261103/<suite>/dataset.json` contains the
-complete scorable tasks, with `primary-content-20261103` already applied, for
-`webfetch`, `dynamic-content`, `popular-sites`, `access-restrictions` and `articles`.
-Together they cover all 530 selected tasks. Each directory's `source-inputs.json` and
-`dataset-catalog.json` bind the file by SHA-256. The selection's
-`frozen_task_bindings[<suite>].exported_cases_sha256` binds its resolved cases.
-
-Each file is the frozen dataset bound by the suite's `definitions/evaluation/.../source-inputs.json`.
-Its hashes were verified, and it reproduces every public task row. The Browser Eval
-revision code then applied `primary-content-20261103`, and the result is serialized
-the way `export` writes it. These files are ready to score as published, with the
-revision already applied. Re-running `lexbench-webfetch export --revision
-primary-content-20261103` needs each suite's private frozen parent inputs, including
-source trees that are not in this download. Re-applying the revision also needs Browser Eval at
-[`351cb27b`](https://github.com/lexmount/browser-eval/commit/351cb27b1d9bf82ae81b177874ea5e624ecb00f0)
-or later, because its review inherits unchanged entries from `review-550-20261023`.
-Install a suite with Browser Eval's existing importer, then
-run it with the population:
-
-```sh
-M=/path/to/definitions/materials/primary-content-20261103/webfetch
-uv run --frozen python scripts/import_reference_inputs.py --manifest "$M/source-inputs.json" --source "$M"
-uv run --frozen python scripts/run_certified_benchmark.py --dataset "$M/dataset.json" \
-  --population /path/to/definitions/populations/primary-content-20261103.json \
-  --population-suite webfetch --retrieval-mode native ...
-```
-
-To score one saved answer, write a task object from that `dataset.json` to a file.
-Declare the answer representation in a metadata file, because text without a declared
-representation is read as markup:
-
-```sh
-python -c 'import json,sys; d=json.load(open(sys.argv[1])); json.dump(next(c for c in d["cases"] if c["id"]=="static-simple"), open("task.json","w"), ensure_ascii=False)' "$M/dataset.json"
-echo '{"answer_format": "plain_text"}' > metadata.json
-uv run --frozen lexbench-webfetch score --task task.json --response answer.txt --metadata metadata.json
-```
-
-Scoring uses only the task object. The
-declared-retrieval route and the 20 excluded webfetch examples also need the frozen
-`sources` and `list-references` trees, which this download does not include.
-
-### Historical editions
+Browser Eval downloads the dataset revision selected by its [data lock](https://github.com/lexmount/browser-eval/blob/691cd74a51723674686e4e7b1a0ba56d5c8ff729/src/harness/benchmarks/data-lock.json) and verifies the archive and file hashes. Public downloads require no access token. The [benchmark integration guide](https://github.com/lexmount/browser-eval/blob/691cd74a51723674686e4e7b1a0ba56d5c8ff729/docs/benchmarks.md) covers revision selection and offline caching.
 
 For tasks that need external reference inputs, obtain an approved matching copy and export a verified executable suite:
 
@@ -289,7 +195,7 @@ uv run --frozen lexbench-webfetch export \
   --output /absolute/path/new-input-directory
 ```
 
-The scorer's `--suite webfetch` exports the mixed 150-task suite, including 20 dynamic/challenge examples. For the 430-task edition, select its 130 general-web, document and media IDs plus the three 100-task suites. For the 550-task edition, select all 150 mixed tasks, those three suites and the 100 article tasks (`--suite articles`). Export verifies inputs before writing a new directory. See [reference inputs and access](https://github.com/lexmount/browser-eval/blob/main/docs/reference-inputs.md).
+The scorer's `--suite webfetch` exports the mixed 150-task suite, including 20 dynamic/challenge examples. For the 430-task edition, select its 130 general-web, document and media IDs plus the three 100-task suites. For the 550-task edition, select all 150 mixed tasks, those three suites and the 100 article tasks (`--suite articles`). Export verifies inputs before writing a new directory. See [reference inputs and access](https://github.com/lexmount/browser-eval/blob/691cd74a51723674686e4e7b1a0ba56d5c8ff729/docs/reference-inputs.md).
 
 Score a saved response using its complete task definition:
 
@@ -310,19 +216,19 @@ uv run --frozen browser-harness-eval run \
   --case-ids static-simple --output /absolute/path/new-evidence
 ```
 
-The HTTP baseline does not execute JavaScript. For browser setup and a report you can inspect, follow the [runnable local example](https://github.com/lexmount/browser-eval/blob/main/examples/web_fetch/README.md). Formal comparisons use the certified workflow in the [Web Fetch evaluation guide](https://github.com/lexmount/browser-eval/blob/main/src/harness/web_fetch/README.md).
+The HTTP baseline does not execute JavaScript. For browser setup and a report you can inspect, follow the [runnable local example](https://github.com/lexmount/browser-eval/blob/691cd74a51723674686e4e7b1a0ba56d5c8ff729/examples/web_fetch/README.md). Formal comparisons use the certified workflow in the [Web Fetch evaluation guide](https://github.com/lexmount/browser-eval/blob/691cd74a51723674686e4e7b1a0ba56d5c8ff729/src/harness/web_fetch/README.md).
 
 ## Reporting and limitations
 
 Report passed/evaluated counts for the declared population, unavailable results and the selected benchmark and scorer revisions. Retain failed calls and timeouts. State timing boundaries, retry policy, local or remote execution, and conversion steps; keep all-call timing separate from timing conditional on success. Optional independent verification has its own disclosed scope and does not run automatically.
 
-Live sites change with location, time, session state and access policy. The suite emphasizes task-relevant stable content, but a frozen reference can still become outdated. Investigate source drift before changing a verdict. Updating task requirements or scoring code does not retroactively update an old measurement. Record the immutable dataset commit, task/reference hashes and scorer source identity with each experiment. Detailed collection, correction and reporting rules are maintained in the [Web Fetch guide](https://github.com/lexmount/browser-eval/blob/main/src/harness/web_fetch/README.md).
+Live sites change with location, time, session state and access policy. The suite emphasizes task-relevant stable content, but a frozen reference can still become outdated. Investigate source drift before changing a verdict. Updating task requirements or scoring code does not retroactively update an old measurement. Record the immutable dataset commit, task/reference hashes and scorer source identity with each experiment. Detailed collection, correction and reporting rules are maintained in the [Web Fetch guide](https://github.com/lexmount/browser-eval/blob/691cd74a51723674686e4e7b1a0ba56d5c8ff729/src/harness/web_fetch/README.md).
 
 These are curated workloads, not a representative sample of every website. The article suite's initial-load scope does not measure hidden continuations or interaction-dependent content. Text and link checks do not measure visual fidelity or autonomous browser use. This dataset contains task inputs and requirements; it does not ship provider measurements or establish a standing browser ranking.
 
 ## Sources, related benchmarks and rights
 
-LexBench-Web-Fetch was developed as the Web Fetch benchmark component of [Browser Eval](https://github.com/lexmount/browser-eval). Its task definitions retain source URLs and reference bindings. Project-authored material uses Apache-2.0. The reference texts included for evaluation keep their original language and their source terms, and the Apache-2.0 license does not cover them. To request removal or correction, open a discussion in this repository's Community tab. Full captures, screenshots, document and media files, private logs and measured provider outputs are excluded. A public URL or content hash is not permission to redistribute the underlying material. Read [THIRD_PARTY.md](THIRD_PARTY.md), [NOTICE](NOTICE) and the notices included with the selected snapshot.
+LexBench-Web-Fetch was developed as the Web Fetch benchmark component of [Browser Eval](https://github.com/lexmount/browser-eval). Its task definitions retain source URLs and reference bindings. Project-authored material uses Apache-2.0; original website text, documents, media and captures retain their source rights. Full captures, screenshots, private logs and measured provider outputs are excluded. A public URL or content hash is not permission to redistribute the underlying material. Read [THIRD_PARTY.md](THIRD_PARTY.md), [NOTICE](NOTICE) and the notices included with the selected snapshot.
 
 The following projects have separate populations and terms; they are not subsets of this catalog:
 
@@ -331,11 +237,11 @@ The following projects have separate populations and terms; they are not subsets
 - [WebArena](https://github.com/web-arena-x/webarena) and [WebArena-Verified](https://github.com/ServiceNow/webarena-verified) supply interactive tasks and evaluators used in separate browser workflows.
 - [LexBench-Headless-Browser](https://huggingface.co/datasets/Lexmount/LexBench-Headless-Browser) preserves the task inputs for the [upstream Headless runtime](https://github.com/lexmount/Lexbench-Headless-Browser), which evaluates browser runtime and automation capabilities.
 
-For search evaluation, use [LexBench-Web-Search](https://huggingface.co/datasets/Lexmount/LexBench-Web-Search). [Moli](https://github.com/lexmount/moli) is one browser that can be evaluated with Web Fetch tasks, and [WebFetch CLI](https://github.com/lexmount/webfetch-cli) is a client for a hosted fetch service. Report creation and sharing are covered by [Browser Eval's reporting documentation](https://github.com/lexmount/browser-eval/blob/main/docs/report-hosting.md).
+For search evaluation, use [LexBench-Web-Search](https://huggingface.co/datasets/Lexmount/LexBench-Web-Search). [Moli](https://github.com/lexmount/moli) is one browser that can be evaluated with Web Fetch tasks, and [WebFetch CLI](https://github.com/lexmount/webfetch-cli) is a client for a hosted fetch service. Report creation and sharing are covered by [Browser Eval's reporting documentation](https://github.com/lexmount/browser-eval/blob/691cd74a51723674686e4e7b1a0ba56d5c8ff729/docs/report-hosting.md).
 
 ## Citation
 
-Cite Browser Eval and record the exact dataset revision used in your experiment. The canonical project citation is [CITATION.cff](https://github.com/lexmount/browser-eval/blob/main/CITATION.cff).
+Cite Browser Eval and record the exact dataset revision used in your experiment. The canonical project citation is [CITATION.cff](https://github.com/lexmount/browser-eval/blob/691cd74a51723674686e4e7b1a0ba56d5c8ff729/CITATION.cff).
 
 ```bibtex
 @software{browser_eval_2026,

definitions.tar.gz

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:20c943c8bc116c2bae1f3e1ea810ab4a92358e7e632bedb6530c9f7b7480f785
-size 6006987
+oid sha256:511740105dcb753e2a25376bd30945d5fb6102d3423dc84d9d6e4b34327be134
+size 7861011

definitions/evaluation/content-scopes-530/source-inputs.json

@@ -0,0 +1,13 @@
+{
+  "catalog": "dataset-catalog.json",
+  "catalog_sha256": "f3874d8508e4c2d0986c04bc631e17ffd53c1d9385dad1d8b4765e510410644b",
+  "dataset": "dataset.json",
+  "dataset_sha256": "d92958eb95352e72c3774e02df638c52b15b8f325d4713aa1a1eab2072b0e298",
+  "files": {
+    "dataset.json": "d92958eb95352e72c3774e02df638c52b15b8f325d4713aa1a1eab2072b0e298"
+  },
+  "id": "webfetch-content-scopes-530-d92958eb9535",
+  "kind": "frozen_reference_inputs",
+  "schema_version": 2,
+  "trees": {}
+}

definitions/registry.json

@@ -2,59 +2,71 @@
   "schema_version": 1,
   "suites": [
     {
-      "id": "webfetch",
-      "dataset_id": "webfetch",
       "case_count": 150,
+      "dataset_id": "webfetch",
+      "directory": "evaluation",
       "files": {
-        "tasks.json": "ae3aec6eab8d2d470cdeb18c4f80d238e5dd79e1108a729589b77a80fe869405",
         "dataset-catalog.json": "994fa53f7fc7c3170692a7bb493ebc5af9ad8ffb5b576c022fa123e6e6fb3838",
-        "source-inputs.json": "c202abc4624811b938a837402bbaf0ecbe716e375fbca70567346d2edb3b1708"
+        "source-inputs.json": "c202abc4624811b938a837402bbaf0ecbe716e375fbca70567346d2edb3b1708",
+        "tasks.json": "ae3aec6eab8d2d470cdeb18c4f80d238e5dd79e1108a729589b77a80fe869405"
       },
-      "directory": "evaluation"
+      "id": "webfetch"
     },
     {
-      "id": "popular-sites",
-      "dataset_id": "popular-sites",
       "case_count": 100,
+      "dataset_id": "popular-sites",
+      "directory": "evaluation/popular-sites",
       "files": {
-        "tasks.json": "82859ffb301740bcf38fee4fe87a675e8fb21af8dd660f92f74e4cbaede35b33",
         "dataset-catalog.json": "f2b9dfb550230cdf8dbbba544d58158ac957620c1d064173790ead70754c178d",
-        "source-inputs.json": "32c31cfd5458a1dfe06d370fc2411a1eea5d1a05da8ef88e0dcd4fd3b0f3c810"
+        "source-inputs.json": "32c31cfd5458a1dfe06d370fc2411a1eea5d1a05da8ef88e0dcd4fd3b0f3c810",
+        "tasks.json": "82859ffb301740bcf38fee4fe87a675e8fb21af8dd660f92f74e4cbaede35b33"
       },
-      "directory": "evaluation/popular-sites"
+      "id": "popular-sites"
     },
     {
-      "id": "dynamic-content",
-      "dataset_id": "dynamic-qualified-100-moli-native-local-audit-20260924",
       "case_count": 100,
+      "dataset_id": "dynamic-qualified-100-moli-native-local-audit-20260924",
+      "directory": "evaluation/dynamic-content-100-moli-webfetch",
       "files": {
-        "tasks.json": "139c62a141183d305d8fa9c3658c546927731461d86aeba5ad3091649bd4ecd7",
         "dataset-catalog.json": "ca1572aa80fc2324b2f00800a79b053cfd584d1831ffb16e6906ae0981522c6c",
-        "source-inputs.json": "710f9c91705b29bb9e4aa15af97dcc856e64e406baa4b9966446408d7e3d26a8"
+        "source-inputs.json": "710f9c91705b29bb9e4aa15af97dcc856e64e406baa4b9966446408d7e3d26a8",
+        "tasks.json": "139c62a141183d305d8fa9c3658c546927731461d86aeba5ad3091649bd4ecd7"
       },
-      "directory": "evaluation/dynamic-content-100-moli-webfetch"
+      "id": "dynamic-content"
     },
     {
-      "id": "access-restrictions",
-      "dataset_id": "risk-control-audited-100",
       "case_count": 100,
+      "dataset_id": "risk-control-audited-100",
+      "directory": "evaluation/risk-control/current",
       "files": {
-        "tasks.json": "c67b60ccf5ee0b14e4e23b3efc282e625005f8e096f0bfc978772d312e8f50c2",
         "dataset-catalog.json": "52ec968b2ada26e5e061ccb25cbe4a73747539e556fa88f31bece6d7fb79b3cb",
-        "source-inputs.json": "c61d6825abbff2a92098592f83055347cd0b0101374794023046c0fd0323dd5f"
+        "source-inputs.json": "c61d6825abbff2a92098592f83055347cd0b0101374794023046c0fd0323dd5f",
+        "tasks.json": "c67b60ccf5ee0b14e4e23b3efc282e625005f8e096f0bfc978772d312e8f50c2"
       },
-      "directory": "evaluation/risk-control/current"
+      "id": "access-restrictions"
     },
     {
-      "id": "articles",
-      "dataset_id": "articles-v11",
       "case_count": 100,
+      "dataset_id": "articles-v11",
       "directory": "evaluation/articles",
       "files": {
-        "tasks.json": "171241ea0bf3cb3f9482de14a7201885733fa717af56d7ea2b28d86a4516a3bb",
         "dataset-catalog.json": "8e413e683c309674abf3d297df3f378e76d65ead1e2aa343828e4b0e1d90764a",
-        "source-inputs.json": "0d9c729f14dae8abb3323a2cf4734736c4733957c9d74d5484033d204642b91b"
-      }
+        "source-inputs.json": "0d9c729f14dae8abb3323a2cf4734736c4733957c9d74d5484033d204642b91b",
+        "tasks.json": "171241ea0bf3cb3f9482de14a7201885733fa717af56d7ea2b28d86a4516a3bb"
+      },
+      "id": "articles"
+    },
+    {
+      "case_count": 530,
+      "dataset_id": "webfetch-content-scopes-530",
+      "directory": "evaluation/content-scopes-530",
+      "files": {
+        "annotation-provenance.json": "1d414d610700e737f492cf192b2202a1d9f5eeffc17904007e0aac0c644b3a20",
+        "dataset-catalog.json": "f3874d8508e4c2d0986c04bc631e17ffd53c1d9385dad1d8b4765e510410644b",
+        "source-inputs.json": "c76b829b994e8f9cc15cbc1a05018f2cb5135dee6e6f9144e5e3b014434fdbbc",
+        "tasks.json": "6ae76832f1594e410ab36371c7841a5bd6b4fa65dab39bd6496a8f07c5b22b85"
+      },
+      "id": "content-scopes-530"
     }
   ]
 }

manifest.json

@@ -1,8 +1,8 @@
 {
   "archive": {
     "path": "definitions.tar.gz",
-    "sha256": "20c943c8bc116c2bae1f3e1ea810ab4a92358e7e632bedb6530c9f7b7480f785",
-    "size": 6006987
+    "sha256": "511740105dcb753e2a25376bd30945d5fb6102d3423dc84d9d6e4b34327be134",
+    "size": 7861011
   },
   "datasets": {
     "access-restrictions": {
@@ -15,6 +15,11 @@
       "path": "evaluation/articles/tasks.json",
       "sha256": "171241ea0bf3cb3f9482de14a7201885733fa717af56d7ea2b28d86a4516a3bb"
     },
+    "content-scopes-530": {
+      "count": 530,
+      "path": "evaluation/content-scopes-530/tasks.json",
+      "sha256": "6ae76832f1594e410ab36371c7841a5bd6b4fa65dab39bd6496a8f07c5b22b85"
+    },
     "dynamic-content": {
       "count": 100,
       "path": "evaluation/dynamic-content-100-moli-webfetch/tasks.json",
@@ -31,55 +36,6 @@
       "sha256": "ae3aec6eab8d2d470cdeb18c4f80d238e5dd79e1108a729589b77a80fe869405"
     }
   },
-  "edition": {
-    "configurations": [
-      {
-        "count": 100,
-        "name": "general-web"
-      },
-      {
-        "count": 100,
-        "name": "dynamic-sites"
-      },
-      {
-        "count": 100,
-        "name": "popular-sites"
-      },
-      {
-        "count": 100,
-        "name": "access-restrictions"
-      },
-      {
-        "count": 10,
-        "name": "embedded-documents"
-      },
-      {
-        "count": 17,
-        "name": "media-information"
-      },
-      {
-        "count": 3,
-        "name": "direct-media-files"
-      },
-      {
-        "count": 100,
-        "name": "articles"
-      },
-      {
-        "count": 10,
-        "name": "dynamic-examples"
-      },
-      {
-        "count": 10,
-        "name": "challenge-examples"
-      }
-    ],
-    "population_sha256": "f1bb4da7d96478dd36ec08d3c340c46dd09b3a2551adab981be020b8fbfaeb96",
-    "source_snapshot_revision": "5cc817112ec9777e0a2da43d54859123f85685a3",
-    "tag": "v2.1.0",
-    "task_count": 550,
-    "version": "2.1.0"
-  },
   "files": {
     "LICENSE": {
       "sha256": "cfc7749b96f63bd31c3c42b5c471bf756814053e847c10f3eb003417bc523d30",
@@ -109,6 +65,10 @@
       "sha256": "1b410bfe09f3bbb53801caebc740c71bb38a48fc0a2949a3619ed39851075d9b",
       "size": 16799
     },
+    "data/content-scopes-530.jsonl": {
+      "sha256": "eadb5ec14b730429e808b9ab63f044ceb53101cf9c2c7e29d780bc877eb250dc",
+      "size": 6730409
+    },
     "data/direct-media-files.jsonl": {
       "sha256": "42149e40895da9e36dbceef0da69db18d75385411dbb31025dc4a7063ac4b423",
       "size": 2687
@@ -193,6 +153,22 @@
       "sha256": "171241ea0bf3cb3f9482de14a7201885733fa717af56d7ea2b28d86a4516a3bb",
       "size": 1079224
     },
+    "definitions/evaluation/content-scopes-530/annotation-provenance.json": {
+      "sha256": "1d414d610700e737f492cf192b2202a1d9f5eeffc17904007e0aac0c644b3a20",
+      "size": 527178
+    },
+    "definitions/evaluation/content-scopes-530/dataset-catalog.json": {
+      "sha256": "f3874d8508e4c2d0986c04bc631e17ffd53c1d9385dad1d8b4765e510410644b",
+      "size": 419480
+    },
+    "definitions/evaluation/content-scopes-530/source-inputs.json": {
+      "sha256": "c76b829b994e8f9cc15cbc1a05018f2cb5135dee6e6f9144e5e3b014434fdbbc",
+      "size": 477
+    },
+    "definitions/evaluation/content-scopes-530/tasks.json": {
+      "sha256": "6ae76832f1594e410ab36371c7841a5bd6b4fa65dab39bd6496a8f07c5b22b85",
+      "size": 10045875
+    },
     "definitions/evaluation/dataset-catalog.json": {
       "sha256": "994fa53f7fc7c3170692a7bb493ebc5af9ad8ffb5b576c022fa123e6e6fb3838",
       "size": 100357
@@ -362,13 +338,17 @@
       "size": 50741
     },
     "definitions/registry.json": {
-      "sha256": "f3d1d2a38308b269cd06c4e2f408e8fcd211baae848581ce8532930cf3089a8b",
-      "size": 2411
+      "sha256": "7db8a296944d9cf92f7f3937e377f64cc32f1872af2cb156f7a2bec56c6dd95e",
+      "size": 3004
     }
   },
   "schema": "browser-eval-dataset-release/1",
   "source_repository": "https://huggingface.co/datasets/Lexmount/LexBench-Web-Fetch",
-  "source_revision": "6b3e1e526600eb91efbb7211c409742b1274888f",
+  "source_revision": "f01d834012d8773690b907a85c512b31e480a42e",
+  "tooling": {
+    "repository": "https://github.com/lexmount/browser-eval",
+    "revision": "691cd74a51723674686e4e7b1a0ba56d5c8ff729"
+  },
   "track": "webfetch",
   "viewer": {
     "configurations": [
@@ -431,6 +411,12 @@
         "count": 10,
         "description": "Additional access-challenge tasks from the original mixed suite; their declared acceptance contracts remain separate",
         "source_suite": "webfetch"
+      },
+      {
+        "config": "content-scopes-530",
+        "count": 530,
+        "description": "Registered task inputs",
+        "source_suite": "content-scopes-530"
       }
     ],
     "language_annotations": {