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378
academic-paper-db_01812f
train
academic-paper-db
[ "academic-paper-db" ]
Search Academic Paper DB for "colonoscopy" and tell me how many papers are found.
[ "search", "report_information" ]
A1
{"task_id": "academic-paper-db_01812f", "site": "academic-paper-db", "sites": ["academic-paper-db"], "instruction": "Search Academic Paper DB for \"colonoscopy\" and tell me how many papers are found.", "macros": ["search", "report_information"], "num_sites": 1, "num_macros": 2, "expected_answer": "1 paper", "answer_ty...
{"task_id": "academic-paper-db_01812f", "macros": {"search": {"type": "request_made", "method": "GET", "url": "re:(?i)/sites/academic\\-paper\\-db/\\?(?=(?:[^#]*&)?q=colonoscopy(?:&|$))", "status": 200}, "report_information": {"op": "AND", "checks": [{"type": "request_made", "method": "GET", "url": "re:(?i)/sites/acade...
{"instruction": "How many papers are there that contain the word \"colonoscopy\".", "expected_answer": "1 paper", "answer_type": "string", "alternatives": "1\none", "expected_outcome": "Find and extract specific information from the page: \n- colonoscopy is contained in the search request\n- agent executes all required...
{"search": {"op": "AND", "label": "search (backend gate + advisory FE)", "checks": [{"type": "request_made", "label": "Check if the search request is made", "method": "GET", "url": "re:/sites/academic\\-paper\\-db/\\?.*(q=)"}, {"op": "OR", "advisory": true, "label": "affordance used (advisory)", "checks": [{"type": "ac...
{"task_id": "academic-paper-db_01812f", "split": "train", "author": "A1", "task": {"repaired": true, "changed_fields": ["instruction", "macros", "macro_edges", "macro_subtasks", "macro_spans", "macro_operations"], "original": "original/task.json", "review": {"recommendation": "repaired", "changes": ["Instruction and ve...
{"task_id": "academic-paper-db_01812f", "split": "train", "site": "academic-paper-db", "sites": ["academic-paper-db"], "primitives": ["search", "report_information"], "author": "A1", "task_repaired": true, "changed_fields": ["instruction", "macros", "macro_edges", "macro_subtasks", "macro_spans", "macro_operations"], "...
null
[{"action": "keypress", "key": "Enter", "selector": "input[name=\"q\"]", "target": "input[text] 'q'", "timestamp": "2026-07-08T20:38:34.059Z", "url": "/sites/academic-paper-db/"}, {"action": "submit", "formData": {"q": "infant"}, "selector": "form.search-bar", "target": "form.search-bar", "timestamp": "2026-07-08T20:38...
null
10
academic-paper-db_1b6dd0
train
academic-paper-db
[ "academic-paper-db" ]
Search Academic Paper DB for "Continual Learning" and leave the results displayed.
[ "search" ]
A1
{"task_id": "academic-paper-db_1b6dd0", "site": "academic-paper-db", "sites": ["academic-paper-db"], "instruction": "Search Academic Paper DB for \"Continual Learning\" and leave the results displayed.", "macros": ["search"], "num_sites": 1, "num_macros": 1, "expected_answer": "", "answer_type": "string", "alternatives...
{"task_id": "academic-paper-db_1b6dd0", "macros": {"search": {"type": "request_made", "method": "GET", "url": "re:(?i)/sites/academic\\-paper\\-db/\\?(?=(?:[^#]*&)?q=Continual(?:\\+|%20| )Learning(?:&|$))", "status": 200}}, "model": null, "built_by": "human-builder-v2", "archetype_v2": true, "query_gated": true, "saved...
{"instruction": "Find and display papers that contain the term \"Continual Learning\". ", "expected_answer": "", "answer_type": "string", "alternatives": "5", "expected_outcome": "Filter using a natural language description: \n- Correctly arrive at the paper site using natural language searching\n- Has to typed \"conti...
{"search": {"op": "AND", "label": "search (backend gate + advisory FE)", "checks": [{"type": "request_made", "label": "Check if the search request is made", "method": "GET", "url": "re:/sites/academic\\-paper\\-db/\\?.*(q=)"}, {"op": "OR", "advisory": true, "label": "affordance used (advisory)", "checks": [{"type": "ac...
{"task_id": "academic-paper-db_1b6dd0", "split": "train", "author": "A1", "task": {"repaired": true, "changed_fields": ["instruction", "macro_subtasks", "macro_spans"], "original": "original/task.json", "review": {"recommendation": "keep", "changes": ["Instruction and verifier reviewed in the original 404-task review."...
{"task_id": "academic-paper-db_1b6dd0", "split": "train", "site": "academic-paper-db", "sites": ["academic-paper-db"], "primitives": ["search"], "author": "A1", "task_repaired": true, "changed_fields": ["instruction", "macro_subtasks", "macro_spans"], "verifier_repaired": true, "demonstration": "original", "demonstrati...
[{"duration_ms": 508, "method": "GET", "path": "/sites/academic-paper-db/", "query": {"q": "Continual Learning"}, "status": 200, "timestamp": "2026-07-08T20:25:51.013918"}]
[{"action": "click", "selector": "input[name=\"q\"]", "target": "input[text] 'q'", "timestamp": "2026-07-08T20:25:47.938Z", "url": "/sites/academic-paper-db/", "value": "", "x": 744, "y": 185}, {"action": "keypress", "key": "Enter", "selector": "input[name=\"q\"]", "target": "input[text] 'q'", "timestamp": "2026-07-08T...
null
16
academic-paper-db_240639
train
academic-paper-db
[ "academic-paper-db" ]
Find "Self-Net: Lifelong Learning via Continual Self-Modeling" in Academic Paper DB and open its full abstract.
[ "search", "navigate_by_route" ]
A1
{"task_id": "academic-paper-db_240639", "site": "academic-paper-db", "sites": ["academic-paper-db"], "instruction": "Find \"Self-Net: Lifelong Learning via Continual Self-Modeling\" in Academic Paper DB and open its full abstract.", "macros": ["search", "navigate_by_route"], "num_sites": 1, "num_macros": 2, "expected_a...
{"task_id": "academic-paper-db_240639", "macros": {"search": {"op": "AND", "checks": [{"type": "request_made", "method": "GET", "url": "re:/sites/academic-paper-db/\\?[^#]*q=[^&]+", "status": 200}, {"type": "page_visited", "url": "/sites/academic-paper-db/paper/67104"}]}, "navigate_by_route": {"type": "page_visited", "...
{"instruction": "Find and open the page that contains the full abstract of the paper \"Self-Net: Lifelong Learning via Continual Self-Modeling\".", "expected_answer": "", "answer_type": "string", "alternatives": "", "expected_outcome": "Search using a text query in a search box: \n- correctly arrive at the paper page u...
{"search": {"op": "AND", "label": "search (backend gate + advisory FE)", "checks": [{"type": "request_made", "label": "Check if the search request is made", "method": "GET", "url": "/sites/academic-paper-db/"}, {"op": "OR", "advisory": true, "label": "affordance used (advisory)", "checks": [{"type": "action_included", ...
{"task_id": "academic-paper-db_240639", "split": "train", "author": "A1", "task": {"repaired": true, "changed_fields": ["instruction", "macros", "macro_edges", "macro_subtasks", "macro_spans"], "original": "original/task.json", "review": {"recommendation": "keep", "changes": ["Instruction and verifier reviewed in the o...
{"task_id": "academic-paper-db_240639", "split": "train", "site": "academic-paper-db", "sites": ["academic-paper-db"], "primitives": ["search", "navigate_by_route"], "author": "A1", "task_repaired": true, "changed_fields": ["instruction", "macros", "macro_edges", "macro_subtasks", "macro_spans"], "verifier_repaired": t...
null
[{"action": "click", "selector": "form.search-bar", "target": "form.search-bar", "timestamp": "2026-08-13T19:12:14.997Z", "url": "/sites/academic-paper-db/", "x": 647, "y": 200}, {"action": "click", "selector": "input[name=\"q\"]", "target": "input[text] 'q'", "timestamp": "2026-08-13T19:12:15.422Z", "url": "/sites/aca...
null
20
academic-paper-db_540fc8
train
academic-paper-db
[ "academic-paper-db" ]
How many pages are listed for "Cassini states for black hole binaries" in Academic Paper DB?
[ "report_information" ]
A1
{"task_id": "academic-paper-db_540fc8", "site": "academic-paper-db", "sites": ["academic-paper-db"], "instruction": "How many pages are listed for \"Cassini states for black hole binaries\" in Academic Paper DB?", "macros": ["report_information"], "num_sites": 1, "num_macros": 1, "expected_answer": "5 pages", "answer_t...
{"task_id": "academic-paper-db_540fc8", "macros": {"report_information": {"op": "AND", "checks": [{"type": "page_visited", "url": "/sites/academic-paper-db/paper/40"}, {"type": "qa_answer", "expected": "5 pages", "mode": "contains", "leaf": true}]}}, "model": null, "built_by": "human-builder-v2", "archetype_v2": true, ...
{"instruction": "How many pages does this paper contain?", "expected_answer": "5 pages", "answer_type": "string", "alternatives": "5 page", "expected_outcome": "Extract info from a specific page/route: \n- Answer is correct", "sites": ["academic-paper-db"], "macros": ["report_information"], "macro_operations": {"report...
{"report_information": {"op": "AND", "label": "report_information (backend gate + advisory FE)", "checks": [{"expected": "5 pages", "label": "Reported answer matches the expected value (per the tag's reasoning op)", "mode": "fuzzy", "type": "qa_answer", "leaf": true, "alternatives": "5 page"}, {"op": "OR", "advisory": ...
{"task_id": "academic-paper-db_540fc8", "split": "train", "author": "A1", "task": {"repaired": true, "changed_fields": ["instruction", "macro_subtasks", "macro_spans"], "original": "original/task.json", "review": {"recommendation": "repaired", "changes": ["Instruction and verifier reviewed in the original 404-task revi...
{"task_id": "academic-paper-db_540fc8", "split": "train", "site": "academic-paper-db", "sites": ["academic-paper-db"], "primitives": ["report_information"], "author": "A1", "task_repaired": true, "changed_fields": ["instruction", "macro_subtasks", "macro_spans"], "verifier_repaired": true, "demonstration": "original", ...
[{"duration_ms": 134, "method": "GET", "path": "/sites/academic-paper-db/", "query": {}, "status": 200, "timestamp": "2026-07-08T20:31:05.106177"}, {"duration_ms": 146, "method": "GET", "path": "/sites/academic-paper-db/", "query": {"category": "astro-ph"}, "status": 200, "timestamp": "2026-07-08T20:31:19.715080"}]
null
null
6
academic-paper-db_553487
train
academic-paper-db
[ "academic-paper-db" ]
Follow Zheng Wen, the author of the paper on efficient reinforcement learning through value function generalization, in Academic Paper DB.
[ "search", "toggle_relationship" ]
A1
{"task_id": "academic-paper-db_553487", "site": "academic-paper-db", "sites": ["academic-paper-db"], "instruction": "Follow Zheng Wen, the author of the paper on efficient reinforcement learning through value function generalization, in Academic Paper DB.", "macros": ["search", "toggle_relationship"], "num_sites": 1, "...
{"task_id": "academic-paper-db_553487", "macros": {"search": {"op": "AND", "checks": [{"type": "request_made", "method": "GET", "url": "re:/sites/academic-paper-db/\\?[^#]*q=[^&]+", "status": 200}, {"type": "page_visited", "url": "/sites/academic-paper-db/paper/615"}]}, "toggle_relationship": {"op": "AND", "checks": [{...
{"instruction": "Can you help me follow Zheng Wen. He has a paper on the topic Efficient RL through Value Function Generalization. Make sure that you follow the correct author", "expected_answer": "", "answer_type": "string", "alternatives": "", "expected_outcome": "Search using natural language or meaning-based query:...
{"search": {"checks": [{"advisory": true, "checks": [{"action": "type", "target": {"open": true}, "type": "action_included", "value": {"open": true}, "advisory": false}, {"action": "click", "target": {"open": true}, "type": "action_included", "value": {"open": true}}, {"action": "keypress", "target": {"open": true}, "t...
{"task_id": "academic-paper-db_553487", "split": "train", "author": "A1", "task": {"repaired": true, "changed_fields": ["instruction", "macro_subtasks", "macro_spans"], "original": "original/task.json", "review": {"recommendation": "repaired", "changes": ["Instruction and verifier reviewed in the original 404-task revi...
{"task_id": "academic-paper-db_553487", "split": "train", "site": "academic-paper-db", "sites": ["academic-paper-db"], "primitives": ["search", "toggle_relationship"], "author": "A1", "task_repaired": true, "changed_fields": ["instruction", "macro_subtasks", "macro_spans"], "verifier_repaired": true, "demonstration": "...
[{"duration_ms": 5445, "method": "GET", "path": "/sites/academic-paper-db/", "query": {}, "status": 200, "timestamp": "2026-07-19T02:20:07.283446"}, {"body": {"redirect_to": "/sites/academic-paper-db/paper/615"}, "duration_ms": 90, "method": "POST", "path": "/sites/academic-paper-db/author/Zheng Wen/follow", "query": {...
[{"action": "click", "selector": "input[name=\"q\"]", "target": "input[text] 'q'", "timestamp": "2026-07-19T02:20:13.705Z", "url": "/sites/academic-paper-db/", "value": "", "x": 758, "y": 186}, {"action": "type", "selector": "input[name=\"q\"]", "target": "input[text] 'q'", "text": "Reinforcement Learning", "timestamp"...
null
24
academic-paper-db_7e4361
train
academic-paper-db
[ "academic-paper-db" ]
Search Academic Paper DB for "neural", then use the Year dropdown to show papers published since 2018.
[ "search", "filter_by_dropdown" ]
A5
{"task_id": "academic-paper-db_7e4361", "site": "academic-paper-db", "sites": ["academic-paper-db"], "instruction": "Search Academic Paper DB for \"neural\", then use the Year dropdown to show papers published since 2018.", "macros": ["search", "filter_by_dropdown"], "num_sites": 1, "num_macros": 2, "expected_answer": ...
{"task_id": "academic-paper-db_7e4361", "macros": {"search": {"type": "request_made", "method": "GET", "url": "re:(?i)/sites/academic\\-paper\\-db/\\?(?=(?:[^#]*&)?q=neural(?:&|$))", "status": 200}, "filter_by_dropdown": {"op": "AND", "checks": [{"type": "request_made", "method": "GET", "url": "re:(?i)/sites/academic\\...
{"instruction": "Search for 'neural' on Academic Paper DB, then filter the results using the Year dropdown to show papers since 2018.", "expected_answer": "", "answer_type": "number", "alternatives": "", "expected_outcome": "search: Check that agent searched 'neural'.\n\nfilter_by_dropdown: Check that agent filtered se...
{"filter_by_dropdown": {"op": "AND", "label": "filter_by_dropdown (backend gate + advisory FE)", "checks": [{"type": "request_made", "label": "Check if a request is made to apply the filter", "method": "GET", "url": "re:/sites/academic\\-paper\\-db/\\?.*(date_from=|q=)"}, {"op": "OR", "advisory": true, "label": "afford...
{"task_id": "academic-paper-db_7e4361", "split": "train", "author": "A5", "task": {"repaired": true, "changed_fields": ["instruction", "macros", "macro_subtasks"], "original": "original/task.json", "review": {"recommendation": "keep", "changes": ["Instruction and verifier reviewed in the original 404-task review.", "Re...
{"task_id": "academic-paper-db_7e4361", "split": "train", "site": "academic-paper-db", "sites": ["academic-paper-db"], "primitives": ["search", "filter_by_dropdown"], "author": "A5", "task_repaired": true, "changed_fields": ["instruction", "macros", "macro_subtasks"], "verifier_repaired": true, "demonstration": "origin...
[{"duration_ms": 53, "method": "GET", "path": "/sites/health-portals/billing/10/pay", "query": {}, "status": 200, "timestamp": "2026-08-08T17:18:38.193015"}, {"duration_ms": 119, "method": "GET", "path": "/sites/health-portals/", "query": {}, "status": 200, "timestamp": "2026-08-08T17:18:45.965583"}, {"duration_ms": 23...
[{"action": "click", "selector": "input[name=\"q\"]", "target": "input[text] 'q'", "timestamp": "2026-08-08T17:27:28.130Z", "url": "/sites/academic-paper-db/", "value": "", "x": 326, "y": 170}, {"action": "submit", "formData": {"q": "neural"}, "selector": "form.search-bar", "target": "form.search-bar", "timestamp": "20...
null
39
academic-paper-db_c9ed36
train
academic-paper-db
[ "academic-paper-db" ]
Sign in to Academic Paper DB with username "researcher_arivera" and password "pass123".
[ "authenticate_by_form" ]
A1
{"task_id": "academic-paper-db_c9ed36", "site": "academic-paper-db", "sites": ["academic-paper-db"], "instruction": "Sign in to Academic Paper DB with username \"researcher_arivera\" and password \"pass123\".", "macros": ["authenticate_by_form"], "num_sites": 1, "num_macros": 1, "expected_answer": "", "answer_type": "s...
{"task_id": "academic-paper-db_c9ed36", "macros": {"authenticate_by_form": {"op": "AND", "checks": [{"type": "request_made", "method": "POST", "url": "re:/sites/academic\\-paper\\-db/login(?:[?#]|$)", "body_fields": {"username": "researcher_arivera", "password": "pass123"}, "status": 302}, {"type": "page_visited", "url...
{"instruction": "Can you go to the Academic Paper DB and log in with the username \"researcher_arivera\" and password \"pass123\", so we can access the site?", "expected_answer": "", "answer_type": "string", "alternatives": "", "expected_outcome": "", "sites": ["academic-paper-db"], "starting_url": "/sites/academic-pap...
{"authenticate_by_form": {"op": "AND", "label": "authenticate_by_form (backend gate + advisory FE)", "checks": [{"type": "request_made", "label": "Check if login submission come back correct", "method": "POST", "url": "/sites/academic-paper-db/login", "body_fields": {"username": {"value": "researcher_arivera", "mode": ...
{"task_id": "academic-paper-db_c9ed36", "split": "train", "author": "A1", "task": {"repaired": true, "changed_fields": ["instruction", "macro_subtasks", "macro_spans"], "original": "original/task.json", "review": {"recommendation": "keep", "changes": ["Instruction and verifier reviewed in the original 404-task review."...
{"task_id": "academic-paper-db_c9ed36", "split": "train", "site": "academic-paper-db", "sites": ["academic-paper-db"], "primitives": ["authenticate_by_form"], "author": "A1", "task_repaired": true, "changed_fields": ["instruction", "macro_subtasks", "macro_spans"], "verifier_repaired": true, "demonstration": "original"...
[{"body": {"password": "pass123", "username": "researcher_arivera"}, "duration_ms": 154, "method": "POST", "path": "/sites/academic-paper-db/login", "query": {}, "status": 302, "timestamp": "2026-07-04T12:37:11.294515"}, {"duration_ms": 18, "method": "GET", "path": "/sites/academic-paper-db/dashboard", "query": {}, "st...
[{"action": "click", "selector": "#username", "target": "input[text] 'Username'", "timestamp": "2026-07-04T18:37:03.782Z", "url": "/sites/academic-paper-db/logout", "value": "", "x": 555, "y": 271}, {"action": "type", "selector": "#username", "target": "input[text] 'Username'", "text": "researcher_arivera", "timestamp"...
null
14
academic-paper-db_e94538
train
academic-paper-db
[ "academic-paper-db" ]
Save "Towards Robust Evaluations of Continual Learning" to my Academic Paper DB library.
[ "toggle_relationship" ]
A1
"{\"task_id\": \"academic-paper-db_e94538\", \"site\": \"academic-paper-db\", \"sites\": [\"academic(...TRUNCATED)
"{\"task_id\": \"academic-paper-db_e94538\", \"macros\": {\"toggle_relationship\": {\"op\": \"AND\",(...TRUNCATED)
"{\"instruction\": \"Save the paper \\\"Towards Robust Evaluations of Continual Learning\\\" to the(...TRUNCATED)
"{\"toggle_relationship\": {\"op\": \"AND\", \"label\": \"toggle_relationship (backend gate + adviso(...TRUNCATED)
"{\"task_id\": \"academic-paper-db_e94538\", \"split\": \"train\", \"author\": \"A1\", \"task\": {\"(...TRUNCATED)
"{\"task_id\": \"academic-paper-db_e94538\", \"split\": \"train\", \"site\": \"academic-paper-db\", (...TRUNCATED)
"[{\"duration_ms\": 496, \"method\": \"GET\", \"path\": \"/sites/academic-paper-db/\", \"query\": {\(...TRUNCATED)
"[{\"action\": \"click\", \"selector\": \"input[name=\\\"q\\\"]\", \"target\": \"input[text] 'q'\", (...TRUNCATED)
"{\"task_id\": \"academic-paper-db_e94538\", \"answer\": \"\", \"recorded_at\": \"2026-09-22T19:05:2(...TRUNCATED)
6
agency-portals_05cc35
train
agency-portals
[ "agency-portals" ]
According to the City of Lakeport website, where is the Fourth of July fireworks celebration held?
[ "report_information" ]
A1
"{\"task_id\": \"agency-portals_05cc35\", \"site\": \"agency-portals\", \"sites\": [\"agency-portals(...TRUNCATED)
"{\"task_id\": \"agency-portals_05cc35\", \"macros\": {\"report_information\": {\"op\": \"AND\", \"c(...TRUNCATED)
"{\"instruction\": \"Where can I go watch the Fourth of July fireworks in Lakeport.\", \"expected_an(...TRUNCATED)
"{\"report_information\": {\"op\": \"AND\", \"label\": \"report_information (backend gate + advisory(...TRUNCATED)
"{\"task_id\": \"agency-portals_05cc35\", \"split\": \"train\", \"author\": \"A1\", \"task\": {\"rep(...TRUNCATED)
"{\"task_id\": \"agency-portals_05cc35\", \"split\": \"train\", \"site\": \"agency-portals\", \"site(...TRUNCATED)
"[{\"duration_ms\": 11, \"method\": \"GET\", \"path\": \"/sites/agency-portals/\", \"query\": {}, \"(...TRUNCATED)
null
null
5
agency-portals_1e848a
train
agency-portals
[ "agency-portals" ]
"Use the City of Lakeport search bar to find and open the permit information for hosting a special e(...TRUNCATED)
[ "search", "navigate_by_route" ]
A1
"{\"task_id\": \"agency-portals_1e848a\", \"site\": \"agency-portals\", \"sites\": [\"agency-portals(...TRUNCATED)
"{\"task_id\": \"agency-portals_1e848a\", \"macros\": {\"search\": {\"op\": \"AND\", \"checks\": [{\(...TRUNCATED)
"{\"instruction\": \"I'm thinking of hosting a special events. Use the search bar to research me wha(...TRUNCATED)
"{\"search\": {\"op\": \"AND\", \"label\": \"search (backend gate + advisory FE)\", \"checks\": [{\"(...TRUNCATED)
"{\"task_id\": \"agency-portals_1e848a\", \"split\": \"train\", \"author\": \"A1\", \"task\": {\"rep(...TRUNCATED)
"{\"task_id\": \"agency-portals_1e848a\", \"split\": \"train\", \"site\": \"agency-portals\", \"site(...TRUNCATED)
"[{\"duration_ms\": 24, \"method\": \"GET\", \"path\": \"/sites/agency-portals/services\", \"query\"(...TRUNCATED)
"[{\"action\": \"click\", \"option_text\": \"Art\", \"selector\": \"select[name=\\\"category\\\"]\",(...TRUNCATED)
null
28
End of preview. Expand in Data Studio

MiniWeb

MiniWeb is a benchmark for web agents that measures skills, not only tasks: 65 locally hosted websites, 37 interaction primitives (searching, filtering, filling forms, dragging, uploading, ...), and 376 human-written tasks whose every step is labeled with the primitive it exercises and checked by a verifier. MiniWebGen generates practice data for each primitive on the training sites, and MiniWebAgent is trained on it. The code that serves the sites, runs the evaluations and reproduces the paper is in the MiniWeb repository.

Tables

Config Rows One row per
tasks 376 (train 310, test 63, excluded 3) human task: instruction, primitives, the task and verifier as evaluated, the annotator's originals, provenance, the demonstration's server and input logs
demonstrations 17.8K recorded event of a human demonstration (action or observation), with the page's HTML, accessibility tree and screenshot where recorded; screenshot rows at the end hold captures no event points to
miniwebgen_trajectories 3,128 MiniWebGen trajectory of one primitive on a training site, with its backend and judge verdicts
miniwebgen_steps 17.1K step of a MiniWebGen trajectory, with its screenshot and the targeted page element; phase is history for the steps of the primitive a chained trajectory starts with
training_steps 31K step of MiniWebAgent's training data in the agent harness's format: prompt messages, target action, screenshot; is_target and validation mark the 27.6K steps it is fit on
task_centric_tasks 7,280 task proposed for the task-centric comparison, with its judged outcome
task_centric_steps 27.6K step of the task-centric training data, in the same format as training_steps
single_primitive_test_tasks 115 generated single-primitive task of a held-out site (evaluation only)
sites 65 website: domain, train or held-out split, data source and its license
primitives 53 primitive (46 initial, 37 kept) or reasoning operation
guides 46 MiniWebGen's guide for a primitive

Nested fields (verifiers, logs, prompt messages, actions) are JSON strings. test is the 13 held-out sites: no training data comes from them.

from datasets import load_dataset

tasks = load_dataset("miniweb/MiniWeb", "tasks", split="test")
steps = load_dataset("miniweb/MiniWeb", "training_steps", split="train", streaming=True)

The websites

site_db/ holds everything the sites need to run offline: one Parquet file per table of the 65 sites (site_db/tables/<site>/), the schema (schema.json), the rows each full-text index holds (fts_rowids/), the sites' own images (static.parquet: generated product shots, post images, book covers, avatars), and a copy of the external media the pages show (media/: images that site data links to on other hosts, such as product and phone photos, wikiHow step images and images inside posts, plus the map's basemap tiles; media_manifest.parquet lists every linked URL and whether it could still be fetched). scripts/restore_site_db.py in the code repository downloads it, rebuilds the SQLite database the sites run on, with search behaving exactly as when the tasks were recorded, and unpacks the media, which the server then serves in place of the original links. Session state from our evaluations is not included.

Privacy

Annotators appear only as the pseudonyms A1 to A6. The sites' people are synthetic, apart from the public sources listed in sites (for example the Enron email corpus and the WebArena Reddit and GitLab environments).

License

  • Data created for MiniWeb (tasks, verifiers, demonstrations, MiniWebGen and task-centric data, the synthetic data of 44 sites): CC BY 4.0.
  • Data of the 21 sites seeded from public sources: the license of each source, listed in the sites table. Some are share-alike (CC BY-SA, ODbL) and some restrict use (wikiHow: CC BY-NC-SA; USA Real Estate: educational use), so the site database as a whole is for non-commercial research.
  • Screenshots and page snapshots show site content and carry the license of that content.
  • site_db/media/ archives third-party images that site data links to (for example product photos from WebShop's data and phone photos from GSMArena), as WebShop and WebArena use them, so the benchmark stays reproducible; their rights remain with their owners.
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Models trained or fine-tuned on miniweb/MiniWeb