Datasets:
task_id stringlengths 11 50 | split stringclasses 1
value | site stringclasses 52
values | sites listlengths 1 3 | instruction stringlengths 30 431 | primitives listlengths 1 6 | author stringclasses 6
values | task stringlengths 5.62k 13.3k | verifier stringlengths 240 5.14k | original_task stringlengths 387 3.82k | original_verifier stringlengths 2 4.71k | provenance stringlengths 798 2.47k | index stringlengths 367 665 | server_log stringlengths 2 123k ⌀ | beacon_log stringlengths 157 29.1k ⌀ | verification_walk stringlengths 20.7k 24.6M ⌀ | num_events int64 2 378 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
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 |
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
sitestable. 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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