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openweb_0
train
Find a chicken recipe.
https://www.google.com/
https://littlesunnykitchen.com/marry-me-chicken/
3
keep
true
true
Clear objective to find a chicken recipe. Trajectory searches for chicken recipes and lands on a specific chicken recipe page, matching the goal.
claude-haiku-4-5-20251001
page: https://www.google.com/ 1. type [95] [chicken recipe ] where [95] is Search page: https://www.google.com/search?q=chicken+recipe&sca_esv=53e635cf3415af69&source=hp&ei=vkl7Z9DgCejJkPIPoPzE8A0&iflsig=AL9… 2. click [569] where [569] is Marry Me Chicken Little Sunny Kitchen Rated 5.0 out of 5, (2.1K) 25 min Chi...
openweb_1
train
Look for chicken recipes.
https://www.google.com/
https://www.cookingclassy.com/?s=chicken
9
keep
true
true
Objective is clear and coherent. Trajectory successfully searches for chicken recipes on Google, navigates to Cooking Classy, and performs searches specifically for chicken recipes, ending at results page.
claude-haiku-4-5-20251001
page: https://www.google.com/ 1. type [112] [cooking recipes ] where [112] is Search page: https://www.google.com/search?q=cooking+recipes&sca_esv=c8f39132a967e6fa&source=hp&ei=hGhvZ4XhDK7PkPIPlrr4qAM&iflsig=AL… 2. click [541] where [541] is Cooking Classy: Delicious, Easy-to-Make Recipes ... Cooking Classy https...
openweb_10
train
Search for something on the BBC News website.
https://www.bbc.com/news
https://www.bbc.com/search?q=latest%20sports%20news&edgeauth=eyJhbGciOiAiSFMyNTYiLCAidHlwIjogIkpXVCJ9.eyJrZXkiOiAiZmFzdGx5LXVyaS10b2tlbi0xIiwiZXhwIjogMTczNjIyMjYzNiwibmJmIjogMTczNjIyMjI3NiwicmVxdWVzdHVyaSI6ICIlMkZzZWFyY2glM0ZxJTNEbGF0ZXN0JTI1MjBzcG9ydHMlMjUyMG5ld3MifQ.G3SbI_vgCUcnWxuSMQWdAiMDB9caTvzsReM73IwfiJo
20
keep
true
true
Clear objective to search BBC News. Trajectory executes multiple searches, eventually landing on 'latest sports news' search results matching the objective.
claude-haiku-4-5-20251001
page: https://www.bbc.com/news 1. click [125] where [125] is Search BBC 2. type [235] [news ] where [235] is Search news, topics and more page: https://www.bbc.com/search?q=news&edgeauth=eyJhbGciOiAiSFMyNTYiLCAidHlwIjogIkpXVCJ9.eyJrZXkiOiAiZmFzdGx5LXVyaS10b2tlbi0… 3. press [Enter] 4. click [246] where [246] is Cl...
openweb_100
train
Find out how to upgrade from the free version of GitHub Copilot to the pro version.
https://github.com/
https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fsettings%2Fcopilot%3Futm_campaign%3Dcopilotfree-bannerheader%26utm_medium%3Dbanner%26utm_source%3Dgithub
13
keep
true
true
Objective is clear and coherent. Trajectory directly pursues learning about upgrading from free to pro Copilot, including checking FAQs and attempting to access settings.
claude-haiku-4-5-20251001
page: https://github.com/ 1. click [156] where [156] is Learn more page: https://github.com/features/copilot/?utm_source=github&utm_medium=banner&utm_campaign=copilotfree-bannerheader 2. hover [660] where [660] is 3. click [372] where [372] is page: https://github.com/pricing?utm_campaign=copilotfree-bannerhea...
openweb_1000
train
Find the results of the research on Gamma-Ray Burst Radiation Mechanisms from the article titled "New Insights on Gamma-Ray Burst Radiation Mechanisms from Multiwavelength Observations".
https://arxiv.org/
https://arxiv.org/html/2412.18577v1#S1
37
keep
true
true
Agent navigates to correct article and explores its sections (Abstract, Introduction, Results, Methods) to find research results on GRB radiation mechanisms, successfully locating relevant findings.
claude-haiku-4-5-20251001
page: https://arxiv.org/ 1. click [220] where [220] is Physics page: https://arxiv.org/archive/physics 2. type [52] [astrophysics ] where [52] is Search term or terms page: http://arxiv.org/search/?query=astrophysics&searchtype=all&source=header 3. click [1090] where [1090] is page: https://arxiv.org/abs/24...
openweb_1001
train
Search for bike-friendly restaurants near Stanford.
https://www.google.com/maps
https://www.google.com/maps/search/bike-friendly+restaurants+near+Stanford/@37.4352519,-122.168975,15z?entry=ttu&g_ep=EgoyMDI0MTIxMS4wIKXMDSoASAFQAw%3D%3D
5
keep
true
true
Objective is clear and well-formed. Trajectory directly pursues it via Google Maps search refinement, successfully reaching bike-friendly restaurants near Stanford.
claude-haiku-4-5-20251001
page: https://www.google.com/maps 1. type [142] [restaurants near me ] where [142] is Search Google Maps page: https://www.google.com/maps/search/restaurants+near+me/@37.4767616,-122.2017024,12z?entry=ttu&g_ep=EgoyMDI0MTIxMS4wIKXM… 2. type [142] [restaurants near Stanford ] where [142] is page: https://www.goo...
openweb_1002
train
Find highly-rated bike-friendly restaurants near Stanford.
https://www.google.com/maps
https://www.google.com/maps/search/bike-friendly+restaurants+near+Stanford/@37.4352492,-122.1689751,15z/data=!3m1!4b1!4m2!2m1!6e5?entry=ttu&g_ep=EgoyMDI0MTIxMS4wIKXMDSoASAFQAw%3D%3D
9
keep
true
true
Agent searches for bike-friendly restaurants near Stanford, filters by rating, and reaches results page. Trajectory directly pursues the stated objective.
claude-haiku-4-5-20251001
page: https://www.google.com/maps 1. type [142] [restaurants near me ] where [142] is Search Google Maps page: https://www.google.com/maps/search/restaurants+near+me/@37.4767616,-122.2017024,12z?entry=ttu&g_ep=EgoyMDI0MTIxMS4wIKXM… 2. type [142] [restaurants near Stanford ] where [142] is page: https://www.goo...
openweb_1003
train
Find "The Melt" restaurant near Stanford.
https://www.google.com/maps
https://www.google.com/maps/place/The+Melt/@37.4333076,-122.1853184,14z/data=!4m6!3m5!1s0x808fbb343b58d50f:0x959033ad7d29ceba!8m2!3d37.4430947!4d-122.1725973!16s%2Fg%2F1hc243ntl?entry=ttu&g_ep=EgoyMDI1MDEwMS4wIKXMDSoASAFQAw%3D%3D
2
keep
true
true
Objective is clear and well-formed. Trajectory directly searches for and finds The Melt restaurant near Stanford on Google Maps as requested.
claude-haiku-4-5-20251001
page: https://www.google.com/maps 1. type [142] [The Melt near Stanford ] where [142] is Search Google Maps page: https://www.google.com/maps/place/The+Melt/@37.4333076,-122.1853184,14z/data=!4m6!3m5!1s0x808fbb343b58d50f:0x959033ad7d… 2. stop [Found the information about The Melt restaurant near Stanford on the G...
openweb_1004
heldout
Find information about adjectives in English grammar.
https://dictionary.cambridge.org/
https://dictionary.cambridge.org/grammar/british-grammar/adjectives_1?q=Adjectives
5
keep
true
true
Objective is clear and well-formed. Trajectory successfully navigates to the adjectives grammar page on Cambridge Dictionary, directly pursuing the stated goal.
claude-haiku-4-5-20251001
page: https://dictionary.cambridge.org/ 1. click [170] where [170] is Dictionary page: https://dictionary.cambridge.org/dictionary/ 2. click [164] where [164] is Grammar page: https://dictionary.cambridge.org/grammar/british-grammar/ 3. type [260] [adjectives ] where [260] is Search page: https://dictionary...
openweb_1005
heldout
Find out how to use adjectives in phrases.
https://dictionary.cambridge.org/
https://dictionary.cambridge.org/grammar/british-grammar/adjective-phrases
5
keep
true
true
Objective clearly asks about adjective phrases. Trajectory navigates through grammar sections directly to the adjective phrases page and stops appropriately.
claude-haiku-4-5-20251001
page: https://dictionary.cambridge.org/ 1. click [173] where [173] is Grammar page: https://dictionary.cambridge.org/grammar/british-grammar/ 2. click [301] where [301] is Adjectives and adverbs page: https://dictionary.cambridge.org/grammar/british-grammar/adjectives-and-adverbs 3. click [300] where [300] is ...
openweb_1007
train
Find the profile of Scottie Barnes from the Toronto Raptors.
https://www.espn.com/
https://www.espn.com/nba/player/_/id/4433134/scottie-barnes
9
keep
true
true
Objective is clear and coherent. Trajectory successfully navigates to Scottie Barnes' ESPN player profile, achieving the stated goal.
claude-haiku-4-5-20251001
page: https://www.espn.com/ 1. click [535] where [535] is NBA 2. click [6742] where [6742] is Full Scoreboard » page: https://www.espn.com/nba/scoreboard 3. click [348] where [348] is Full Scoreboard » 4. scroll [down] 5. click [1680] where [1680] is 6. click [865] where [865] is page: https://www.espn.com/nba...
openweb_1008
train
Find Toronto Raptors team information.
https://www.espn.com/
https://www.espn.com/nba/team/_/name/tor/toronto-raptors
4
keep
true
true
Objective is clear and well-formed. Trajectory directly searches for and navigates to Toronto Raptors team information page on ESPN.
claude-haiku-4-5-20251001
page: https://www.espn.com/ 1. click [1830] where [1830] is Open Search 2. type [1833] [Toronto Raptors ] where [1833] is Search page: https://www.espn.com/search/_/q/Toronto%20Raptors 3. click [289] where [289] is Toronto Raptors Toronto Raptors NBA page: https://www.espn.com/nba/team/_/name/tor/toronto-rapto...
openweb_1009
train
Ask Hugging Face how many datasets support Qwen models.
https://huggingface.co/
https://huggingface.co/datasets?sort=trending&search=Qwen+models
7
keep
true
true
Agent searches for datasets related to Qwen models and reaches a filtered results page. Trajectory pursues the objective despite some navigation detours.
claude-haiku-4-5-20251001
page: https://huggingface.co/ 1. type [44] [Qwen ] where [44] is Search models, datasets, users... page: https://huggingface.co/Qwen/QVQ-72B-Preview 2. click [152] where [152] is Datasets page: https://huggingface.co/datasets 3. click [242] where [242] is Full-text search page: https://huggingface.co/search...
openweb_1010
train
Find out more about the Qwen model's capabilities and limitations.
https://huggingface.co/
https://huggingface.co/Qwen/QwQ-32B-Preview/blob/main/README.md?code=true#L16
15
keep
true
true
The objective is clear: find information about Qwen model capabilities and limitations. The trajectory searches for Qwen models on Hugging Face and navigates to relevant model cards that contain this information.
claude-haiku-4-5-20251001
page: https://huggingface.co/ 1. type [44] [Qwen model ] where [44] is Search models, datasets, users... page: https://huggingface.co/deepseek-ai/DeepSeek-V3 2. click [149] where [149] is Models page: https://huggingface.co/models 3. click [878] where [878] is Qwen/Qwen2-VL-7B-Instruct page: https://hugging...
openweb_1011
train
Find out what the Qwen model can do.
https://huggingface.co/
https://huggingface.co/Qwen/QVQ-72B-Preview
2
keep
true
true
User searches for Qwen model information, reaches its HuggingFace page, and reads about its capabilities. Coherent objective with matching trajectory.
claude-haiku-4-5-20251001
page: https://huggingface.co/ 1. type [44] [Qwen ] where [44] is Search models, datasets, users... page: https://huggingface.co/Qwen/QVQ-72B-Preview 2. stop [The Qwen model is mainly for visual reasoning tasks, including but not limited to: enhancing visual reasoning capabilities; multidisciplinary understanding ...
openweb_1012
train
What are the capabilities of the Qwen/QwQ-32B-Preview model (specifically, can it translate from languages like Spanish, French, or Chinese)?
https://huggingface.co/
https://huggingface.co/Qwen/QwQ-32B-Preview
7
drop
true
false
Trajectory clicks 'Datasets' then searches for the model, but never actually interacts with the model's capabilities documentation or interface to answer the question asked.
claude-haiku-4-5-20251001
page: https://huggingface.co/ 1. click [55] where [55] is Datasets page: https://huggingface.co/datasets 2. type [76] [Qwen/QwQ-32B-Preview ] where [76] is Search models, datasets, users... page: https://huggingface.co/Qwen/QwQ-32B-Preview 3. type [479] [Can you translate text from languages such as Spanish, F...
openweb_1013
train
Find math college courses online.
https://www.coursera.org/
https://www.coursera.org/search?query=math%20college%20courses
3
keep
true
true
The objective is clear and well-formed. The trajectory plausibly pursues it by searching for math college courses on Coursera and clicking a relevant result.
claude-haiku-4-5-20251001
page: https://www.coursera.org/ 1. type [2057] [math college courses ] where [2057] is What do you want to learn? page: https://www.coursera.org/search?query=math%20college%20courses 2. click [799] where [799] is Math Prep: College & Work Ready free Course by University of North Texas, 4.5 stars, by 251 reviews, ...
openweb_1015
train
Find out the course content for Data Science Math Skills on Coursera.
https://www.coursera.org/
https://www.coursera.org/learn/datasciencemathskills#modules
13
keep
true
true
Demonstrator successfully navigates to Data Science Math Skills course and accesses the modules section, viewing course content structure despite access limitations.
claude-haiku-4-5-20251001
page: https://www.coursera.org/ 1. type [2058] [Math ] where [2058] is What do you want to learn? page: https://www.coursera.org/search?query=Math 2. click [753] where [753] is Math Prep: College & Work Ready free Course by University of North Texas, 4.5 stars, by 250 reviews, provide skills Algebra, Mathema… ...
openweb_1016
train
Find the instructor for the "Data Science Math Skills" course.
https://www.coursera.org/
https://www.coursera.org/learn/datasciencemathskills
3
keep
true
true
Agent searched for the course, navigated to its page, and identified the instructors Daniel Egger and Paul Bendich, directly fulfilling the objective.
claude-haiku-4-5-20251001
page: https://www.coursera.org/ 1. type [2058] [Data Science Math Skills ] where [2058] is What do you want to learn? page: https://www.coursera.org/search?query=Data%20Science%20Math%20Skills 2. click [800] where [800] is Data Science Math Skills page: https://www.coursera.org/learn/datasciencemathskills 3. s...
openweb_1017
train
Find out what courses are available for someone interested in 'Data Science Math Skills' at Duke University.
https://www.coursera.org/
https://www.coursera.org/learn/datasciencemathskills
6
keep
true
true
Objective is clear: find Data Science Math Skills courses at Duke. Trajectory searches for and locates the course, explores Duke's offerings, demonstrating relevant exploration.
claude-haiku-4-5-20251001
page: https://www.coursera.org/ 1. type [2058] [Data Science Math Skills at Duke University ] where [2058] is What do you want to learn? page: https://www.coursera.org/search?query=Data%20Science%20Math%20Skills%20at%20Duke%20University 2. click [799] where [799] is Data Science Math Skills free Course by Duke Un...
openweb_1019
train
Find out more about the Data Science Math Skills course at Coursera and the admission process for its related field of study at Duke University.
https://www.coursera.org/
https://admissions.duke.edu/apply/#requirements
29
keep
true
true
Agent explores Data Science Math Skills course on Coursera, then navigates to Duke admissions application page showing admission requirements as instructed.
claude-haiku-4-5-20251001
page: https://www.coursera.org/ 1. type [2058] [Math ] where [2058] is What do you want to learn? page: https://www.coursera.org/search?query=Math 2. click [753] where [753] is Math Prep: College & Work Ready free Course by University of North Texas, 4.5 stars, by 250 reviews, provide skills Algebra, Mathema… ...
openweb_1021
train
Research and gather information about the application process and deadlines for Duke University's undergraduate admissions.
https://www.coursera.org/
https://admissions.duke.edu/apply/
4
keep
true
true
Objective is clear and well-formed. Trajectory navigates to Duke admissions site and reaches the apply page with deadline information, directly pursuing the stated research goal.
claude-haiku-4-5-20251001
page: https://www.coursera.org/ 1. new_tab page: about:blank 2. goto [https://admissions.duke.edu] page: https://admissions.duke.edu/ 3. click [519] where [519] is LEARN MORE ABOUT ADMISSIONS Arrow Right page: https://admissions.duke.edu/apply/ 4. stop [The webpage contains information regarding deadlines: ...
openweb_1023
train
What is myBMI if I am 5 ft 9 in and I weigh 170 lbs?
https://www.wolframalpha.com/
https://www.wolframalpha.com/input?i=BMI&assumption=%7B%22F%22%2C+%22BodyMassIndex%22%2C+%22H%22%7D+-%3E%225+ft+9+in%22&assumption=%7B%22FS%22%7D+-%3E+%7B%7B%22BodyMassIndex%22%2C+%22BMI%22%7D%2C+%7B%22BodyMassIndex%22%2C+%22H%22%7D%2C+%7B%22BodyMassIndex%22%2C+%22W%22%7D%7D&assumption=%7B%22F%22%2C+%22BodyMassIndex%22...
9
keep
true
true
User asks to calculate BMI given height and weight. Trajectory uses WolframAlpha to input these values and retrieve the BMI result.
claude-haiku-4-5-20251001
page: https://www.wolframalpha.com/ 1. type [89] [BMI ] where [89] is WolframAlpha input field page: https://www.wolframalpha.com/input?i=BMI 2. type [508] [170 lb] where [508] is 3. type [512] [5 ft 9 in ] where [512] is page: https://www.wolframalpha.com/input?i=BMI&assumption=%7B%22F%22%2C+%22BodyMassIndex%...
openweb_1027
train
Calculate my BMI.
https://www.wolframalpha.com/
https://www.wolframalpha.com/input?i=bmi+calculator&assumption=%7B%22F%22%2C+%22BodyMassIndex%22%2C+%22H%22%7D+-%3E%225+ft+8+in%22&assumption=%7B%22FS%22%7D+-%3E+%7B%7B%22BodyMassIndex%22%2C+%22BMI%22%7D%2C+%7B%22BodyMassIndex%22%2C+%22H%22%7D%2C+%7B%22BodyMassIndex%22%2C+%22W%22%7D%7D&assumption=%7B%22F%22%2C+%22BodyM...
5
keep
true
true
Objective is clear and coherent. Trajectory uses WolframAlpha's BMI calculator with height and weight inputs, reaching a calculated BMI result of 23.42.
claude-haiku-4-5-20251001
page: https://www.wolframalpha.com/ 1. click [96] where [96] is NATURAL LANGUAGE 2. type [89] [BMI calculator ] where [89] is WolframAlpha input field page: https://www.wolframalpha.com/input?i=bmi+calculator 3. type [493] [5 ft 8 in] where [493] is 4. type [489] [154 lb ] where [489] is page: https://www.wolf...
openweb_1028
train
Calculate the BMI for a person who is 5'9" and weighs 170 lbs, and find more information about this calculated value.
https://www.wolframalpha.com/
about:blank
29
keep
true
true
Agent successfully calculated BMI (25.1) for given measurements and explored related information on WolframAlpha before navigation errors occurred.
claude-haiku-4-5-20251001
page: https://www.wolframalpha.com/ 1. type [89] [BMI ] where [89] is WolframAlpha input field page: https://www.wolframalpha.com/input?i=BMI 2. type [508] [170 lb] where [508] is 3. type [512] [5 ft 9 in ] where [512] is page: https://www.wolframalpha.com/input?i=BMI&assumption=%7B%22F%22%2C+%22BodyMassIndex%...
openweb_1029
train
Find the body mass index (BMI) of a person who is 5 ft 9 in (170 lbs) and analyze the result.
https://www.wolframalpha.com/
https://www.wolframalpha.com/input?i=BMI+5+ft+9+in+170+lbs
2
keep
true
true
Objective asks to find and analyze BMI for given measurements. Trajectory successfully queries WolframAlpha with correct values and arrives at result showing overweight classification.
claude-haiku-4-5-20251001
page: https://www.wolframalpha.com/ 1. type [89] [BMI 5 ft 9 in 170 lbs ] where [89] is WolframAlpha input field page: https://www.wolframalpha.com/input?i=BMI+5+ft+9+in+170+lbs 2. stop [overweight] (final recorded decision)
openweb_103
train
Find a specific arXiv paper on machine learning and access its different formats.
https://arxiv.org/
https://arxiv.org/abs/2412.18601
5
keep
true
true
Agent searches for ML paper, finds arXiv:2412.18601, navigates to it, and explores format options. Actions align with objective.
claude-haiku-4-5-20251001
page: https://arxiv.org/ 1. type [50] [machine learning ] where [50] is Search term or terms page: http://arxiv.org/search/?query=machine+learning&searchtype=all&source=header 2. click [205] where [205] is arXiv:2412.18601 page: https://arxiv.org/abs/2412.18601 3. click [219] where [219] is 4. click [276] wher...
openweb_1030
train
Search for flights on January 1, 2025, to January 3, 2025.
https://www.google.com/travel/flights
https://www.google.com/travel/flights?tfs=CBwQARoaEgoyMDI1LTAxLTAxagwIAhIIL20vMGQ2bHAaGhIKMjAyNS0wMS0wM3IMCAISCC9tLzBkNmxwQAFIAXABggELCP___________wGYAQE&tfu=KgIIAw
5
keep
true
true
Objective is clear and well-formed. Trajectory enters correct departure and return dates on Google Flights matching the objective dates, reaching expected results page.
claude-haiku-4-5-20251001
page: https://www.google.com/travel/flights 1. type [691] [2025-01-01 ] where [691] is Departure page: https://www.google.com/travel/flights?tfs=CBwQARoaEgoyMDI1LTAxLTAxagwIAhIIL20vMGQ2bHAaDnIMCAISCC9tLzBkNmxwQAFIAXABggELC… 2. type [712] [2025-01-03 ] where [712] is Return page: https://www.google.com/travel/f...
openweb_1033
train
Find out how Transformers work in the Hugging Face NLP course.
https://huggingface.co/
https://huggingface.co/learn/nlp-course/chapter1/5?fw=pt
9
keep
true
true
Objective clearly asks to learn how Transformers work in HF NLP course. Trajectory navigates through course chapters, reaching detailed Transformer content as requested.
claude-haiku-4-5-20251001
page: https://huggingface.co/ 1. click [615] where [615] is Learn page: https://huggingface.co/learn 2. click [82] where [82] is NLP Course This course will teach you about natural language processing using libraries from the HF ecosystem. page: https://huggingface.co/learn/nlp-course/chapter1/1 3. click [185]...
openweb_1035
heldout
Search for "Winter Sale toys".
https://www.amazon.com/
https://www.amazon.com/s?k=Winter+Sale+toys&crid=VBT80R7R6DQA&sprefix=winter+sale+toys%2Caps%2C164&ref=nb_sb_noss_1
3
keep
true
true
Objective is clear and coherent. Trajectory searches for 'Winter Sale toys' on Amazon, reaching the search results page as intended. The subsequent filter action is a normal refinement.
claude-haiku-4-5-20251001
page: https://www.amazon.com/ 1. type [239] [Winter Sale toys ] where [239] is Search Amazon page: https://www.amazon.com/s?k=Winter+Sale+toys&crid=VBT80R7R6DQA&sprefix=winter+sale+toys%2Caps%2C164&ref=nb_sb_noss_1 2. type [152] [Toys & Games ] where [152] is 3. stop [] (final recorded decision)
openweb_1036
heldout
Find the cheapest stuffed animals in the Winter Sale.
https://www.amazon.com/
https://www.amazon.com/Christmas-Keychain-Birthday-Decoration-White-red/dp/B0DHTQ8V7P/ref=sr_1_1?crid=3DHRPG43W6TVE&dib=eyJ2IjoiMSJ9.zgUu-fffZ-VdnZCzHTLN0D8L2hE0LWAxjZlWzymLD8L1P2pc1l5cG1unxn4oxKpEwgSDN-V7AtDbhqMzzpmsmAK92dAelDvEU1KhMYNzRDWt7QKCb7pnFlFbfZnhauii4Ahqc4MJG1eIvNAJff2VT007fj4h_Sl7EOLMhnB-SkB73z2gm9aotoYk6EF...
9
drop
true
false
Trajectory stops at single product without comparing prices to find cheapest. Goal requires price comparison; trajectory doesn't achieve it.
claude-haiku-4-5-20251001
page: https://www.amazon.com/ 1. click [184] where [184] is Search Amazon 2. type [184] [Winter Sale toys ] where [184] is Search Amazon page: https://www.amazon.com/s?k=Winter+Sale+toys&crid=15FG1S7D9BO87&sprefix=winter+sale+toys%2Caps%2C131&ref=nb_sb_noss 3. hover [86] where [86] is 4. type [86] [Toy Deals] whe...
openweb_1037
heldout
Find and purchase low-cost stuffed animals from the Winter Sale.
https://www.amazon.com/
https://www.amazon.com/ap/signin?_encoding=UTF8&openid.assoc_handle=amazon_checkout_us&openid.claimed_id=http%3A%2F%2Fspecs.openid.net%2Fauth%2F2.0%2Fidentifier_select&openid.identity=http%3A%2F%2Fspecs.openid.net%2Fauth%2F2.0%2Fidentifier_select&openid.mode=checkid_setup&openid.ns=http%3A%2F%2Fspecs.openid.net%2Fauth%...
13
keep
true
true
Agent searched for winter sale stuffed animals, sorted by price low-to-high, added item to cart, and proceeded to checkout as instructed.
claude-haiku-4-5-20251001
page: https://www.amazon.com/ 1. click [184] where [184] is Search Amazon 2. type [184] [Winter Sale toys ] where [184] is Search Amazon page: https://www.amazon.com/s?k=Winter+Sale+toys&crid=15FG1S7D9BO87&sprefix=winter+sale+toys%2Caps%2C131&ref=nb_sb_noss 3. hover [86] where [86] is 4. type [86] [Toy Deals] whe...
openweb_1039
train
Find high-severity advisories on GitHub.
https://github.com/
https://github.com/advisories?page=2&query=severity%3Ahigh
6
keep
true
true
Objective is clear and well-formed. Trajectory coherently navigates to GitHub Advisory Database, filters by high severity, and pages to results matching the objective.
claude-haiku-4-5-20251001
page: https://github.com/ 1. goto [https://github.com/security] page: https://github.com/security 2. click [703] where [703] is GitHub Advisory Database page: https://github.com/advisories 3. click [653] where [653] is Severity 4. click [672] where [672] is High page: https://github.com/advisories?query=sev...
openweb_104
train
Get information on machine learning and related topics, possibly focusing on natural language processing.
https://arxiv.org/
http://arxiv.org/search/?query=machine+learning&searchtype=all&source=header
9
keep
true
true
Clear objective to explore machine learning and NLP on arXiv. Trajectory searches for both topics and examines relevant papers appropriately.
claude-haiku-4-5-20251001
page: https://arxiv.org/ 1. type [50] [machine learning ] where [50] is Search term or terms page: http://arxiv.org/search/?query=machine+learning&searchtype=all&source=header 2. click [205] where [205] is arXiv:2412.18601 page: https://arxiv.org/abs/2412.18601 3. click [219] where [219] is 4. click [276] wher...
openweb_1040
train
Find high-severity GHSA advisories related to GitHub Actions.
https://github.com/
https://github.com/advisories?query=severity%3AHigh+type%3Areviewed+ecosystem%3Aactions
9
drop
true
false
Trajectory ends at correct URL but agent gives up prematurely, concluding no results exist when none actually found.
claude-haiku-4-5-20251001
page: https://github.com/ 1. click [1178] where [1178] is Security page: https://github.com/security 2. click [703] where [703] is GitHub Advisory Database page: https://github.com/advisories 3. click [641] where [641] is Search by CVE/GHSA ID, package, severity, ecosystem, credit… 4. type [641] [severity:High...
openweb_1041
train
Browse the unreviewed high severity security advisories on GitHub.
https://github.com/
https://github.com/advisories?query=severity%3AHigh+type%3Aunreviewed
13
keep
true
true
Agent navigates to GitHub advisories page, searches for high severity unreviewed advisories, reaching the correct endpoint URL with appropriate filters applied.
claude-haiku-4-5-20251001
page: https://github.com/ 1. click [1178] where [1178] is Security page: https://github.com/security 2. click [703] where [703] is GitHub Advisory Database page: https://github.com/advisories 3. click [641] where [641] is Search by CVE/GHSA ID, package, severity, ecosystem, credit… 4. type [641] [severity:High...
openweb_1042
train
Investigate a specific security vulnerability (e.g., CVE-2022-48470) and gather detailed information about its impact and CWE.
https://github.com/
https://nvd.nist.gov/vuln/detail/CVE-2022-48470
17
keep
true
true
Agent navigates GitHub Security and NVD to research CVE-2022-48470, successfully reaching the target NVD page and exploring CWE details.
claude-haiku-4-5-20251001
page: https://github.com/ 1. click [1178] where [1178] is Security page: https://github.com/security 2. click [703] where [703] is GitHub Advisory Database page: https://github.com/advisories 3. click [641] where [641] is Search by CVE/GHSA ID, package, severity, ecosystem, credit… 4. type [641] [severity:High...
openweb_1043
train
Find information about a specific vulnerability with high severity on GitHub.
https://github.com/
https://github.com/advisories/GHSA-vp3x-9qpg-q385
7
keep
true
true
Objective is clear: find high-severity vulnerability info on GitHub. Trajectory successfully navigates to GitHub Advisory Database, filters by high severity, and lands on a specific vulnerability advisory page.
claude-haiku-4-5-20251001
page: https://github.com/ 1. click [289] where [289] is Resources 2. click [301] where [301] is Security page: https://github.com/resources/articles/security 3. click [728] where [728] is Security page: https://github.com/security 4. click [703] where [703] is GitHub Advisory Database page: https://github.c...
openweb_1044
train
Investigate high-severity security advisories on GitHub.
https://github.com/
https://github.com/advisories?page=2&query=severity%3Ahigh
7
keep
true
true
Objective is clear and coherent. Trajectory systematically navigates to GitHub's Advisory Database, filters for high-severity advisories, and advances to the next page as instructed.
claude-haiku-4-5-20251001
page: https://github.com/ 1. click [163] where [163] is Navigation Menu 2. click [1177] where [1177] is Security page: https://github.com/security 3. click [701] where [701] is GitHub Advisory Database page: https://github.com/advisories 4. click [653] where [653] is Severity 5. click [672] where [672] is High...
openweb_1045
train
Find all high-severity security advisories on GitHub.
https://github.com/
https://github.com/advisories?page=2&query=severity%3Ahigh
6
keep
true
true
Trajectory directly pursues finding high-severity security advisories by navigating to GitHub Advisory Database, filtering by high severity, and viewing results across pages.
claude-haiku-4-5-20251001
page: https://github.com/ 1. click [1178] where [1178] is Security page: https://github.com/security 2. click [701] where [701] is GitHub Advisory Database page: https://github.com/advisories 3. click [653] where [653] is Severity 4. click [672] where [672] is High page: https://github.com/advisories?query=...
openweb_1046
train
Find high-severity security vulnerabilities related to the RabbitMQ project and report a vulnerability.
https://github.com/
https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Frabbitmq%2Frabbitmq-server%2Fsecurity%2Fadvisories%2Fnew
33
keep
true
true
Objective is clear: find RabbitMQ high-severity vulnerabilities and report one. Trajectory explores GitHub advisories, locates RabbitMQ vulnerabilities, and navigates to the vulnerability reporting form.
claude-haiku-4-5-20251001
page: https://github.com/ 1. click [1178] where [1178] is Security page: https://github.com/security 2. click [703] where [703] is GitHub Advisory Database page: https://github.com/advisories 3. click [641] where [641] is Search by CVE/GHSA ID, package, severity, ecosystem, credit… 4. type [641] [severity:High...
openweb_1047
train
Find the scores of college football games.
https://www.espn.com/
https://www.espn.com/college-football/game/_/gameId/401677101/iowa-missouri
5
keep
true
true
Agent searches for college football scores and navigates to game pages displaying scores. The trajectory directly pursues this objective despite not finding final scores.
claude-haiku-4-5-20251001
page: https://www.espn.com/ 1. type [1109] [NBA scores ] where [1109] is Search 2. click [218] where [218] is OU 20 NAVY 21 page: https://www.espn.com/college-football/boxscore/_/gameId/401677090 3. scroll [down] 4. click [3662] where [3662] is IOWA 8-4 19 MIZ 9-3 Mon- 11:30 AM ESPN page: https://www.espn.com/...
openweb_1049
train
Find college football scores.
https://www.espn.com/
https://www.espn.com/college-football/scoreboard
3
keep
true
true
Objective is clear and well-formed. Trajectory directly pursues finding college football scores, reaching the scoreboard page via ESPN's CFB section.
claude-haiku-4-5-20251001
page: https://www.espn.com/ 1. click [4780] where [4780] is CFB Bowl Games page: https://www.espn.com/college-football/story/_/page/cfpbowls2024/college-football-bowl-2024-2025-schedule-matchups 2. click [2553] where [2553] is Scores page: https://www.espn.com/college-football/scoreboard 3. stop ["Found"] (fi...
openweb_1050
train
Search for pre-trained models on Hugging Face
https://huggingface.co/
https://huggingface.co/sophia-jihye/Incorporation_of_Company-Related_Factual_Knowledge_into_Pre-trained_Language_Models
5
keep
true
true
Agent searches for pre-trained models on Hugging Face via Models section and search box, successfully finding a specific pre-trained model despite not displaying full search results list.
claude-haiku-4-5-20251001
page: https://huggingface.co/ 1. click [52] where [52] is Models page: https://huggingface.co/models 2. click [78] where [78] is Search models, datasets, users... 3. type [78] [pre-trained models ] where [78] is Search models, datasets, users... page: https://huggingface.co/sophia-jihye/Incorporation_of_Compan...
openweb_1051
train
Look up models that incorporate company-related factual knowledge.
https://huggingface.co/
https://huggingface.co/sophia-jihye/Incorporation_of_Company-Related_Factual_Knowledge_into_Pre-trained_Language_Models
9
keep
true
true
Objective to find models incorporating company knowledge is coherent. Trajectory searches HuggingFace models and lands on SEC-BERT, a model specifically designed for company-related factual knowledge integration.
claude-haiku-4-5-20251001
page: https://huggingface.co/ 1. click [52] where [52] is Models page: https://huggingface.co/models 2. click [78] where [78] is Search models, datasets, users... 3. type [78] [pre-trained models ] where [78] is Search models, datasets, users... page: https://huggingface.co/sophia-jihye/Incorporation_of_Compan...
openweb_1052
train
Find stays in San Francisco.
https://www.booking.com/
https://www.booking.com/city/us/san-francisco.html
4
keep
true
true
Clear, coherent objective. Trajectory successfully navigates to San Francisco stays page on Booking.com despite final parsing error.
claude-haiku-4-5-20251001
page: https://www.booking.com/ 1. click [4186] where [4186] is Dismiss sign-in info. 2. click [329] where [329] is Where are you going? 3. type [329] [San Francisco ] where [329] is Where are you going? page: https://www.booking.com/city/us/san-francisco.html 4. assistant Cannot correctly parse the action (final...
openweb_1060
train
Find the model "Music-AI-Voices" for game characters AI on Hugging Face.
https://huggingface.co/
https://huggingface.co/QuickWick/Music-AI-Voices
2
keep
true
true
Objective is clear and coherent. Trajectory searches for the model and reaches the correct page, matching the stated goal.
claude-haiku-4-5-20251001
page: https://huggingface.co/ 1. type [44] [Music-AI-Voices ] where [44] is Search models, datasets, users... page: https://huggingface.co/QuickWick/Music-AI-Voices 2. stop [Music-AI-Voices for game characters] (final recorded decision)
openweb_1061
train
How are downloads counted for models
https://huggingface.co/
https://github.com/huggingface/huggingface.js/blob/main/packages/tasks/src/model-libraries.ts
13
keep
true
true
Agent navigates HF models site, finds download stats documentation, and reaches GitHub code implementing download counting as requested.
claude-haiku-4-5-20251001
page: https://huggingface.co/ 1. click [51] where [51] is page: https://huggingface.co/models 2. type [78] [game character AI ] where [78] is Search models, datasets, users... page: https://huggingface.co/search/full-text?q=game%20character%20AI 3. scroll [down] 4. click [98] where [98] is page: https://hug...
openweb_1063
train
Find out the pricing and features of GitHub Copilot.
https://huggingface.co/
https://www.google.com/search?q=GitHub+Copilot+pricing+and+features&sca_esv=768f8b678b2bd642&source=hp&ei=CYN7Z_O4EcjDkPIPhqKD8Qs&iflsig=AL9hbdgAAAAAZ3uRGbHDuAleB-LWqGIrUi7o6lvMQiKw&ved=0ahUKEwiz4dGhxuCKAxXIIUQIHQbRIL4Q4dUDCBA&uact=5&oq=GitHub+Copilot+pricing+and+features&gs_lp=Egdnd3Mtd2l6IiNHaXRIdWIgQ29waWxvdCBwcmlja...
4
keep
true
true
Objective is clear and well-formed. Trajectory searches for the requested information and identifies a pricing detail ($10/month), directly pursuing the stated goal.
claude-haiku-4-5-20251001
page: https://huggingface.co/ 1. new_tab 2. goto [https://www.google.com] page: https://www.google.com/ 3. type [95] [GitHub Copilot pricing and features ] where [95] is Search page: https://www.google.com/search?q=GitHub+Copilot+pricing+and+features&sca_esv=768f8b678b2bd642&source=hp&ei=CYN7Z_O4EcjDk… 4. stop...
openweb_1064
train
Find out the cost of GitHub Copilot for individual developers.
https://huggingface.co/
https://github.com/pricing
4
keep
true
true
Objective is clear and coherent. Trajectory navigates to GitHub pricing page and finds Copilot pricing information ($10/month or $100/year) as instructed.
claude-haiku-4-5-20251001
page: https://huggingface.co/ 1. goto [github.com] 2. goto [https://github.com/pricing] page: https://github.com/pricing 3. click [3051] where [3051] is What is the pricing for GitHub Copilot? 4. stop [$10 USD/month or $100 USD/year] (final recorded decision)
openweb_1067
heldout
Find the Instant Pot Crispy Chicken Carnitas meal prep recipe.
https://www.allrecipes.com/
https://www.allrecipes.com/recipe/274921/instant-pot-crispy-chicken-carnitas/
3
keep
true
true
Objective is clear and well-formed. Trajectory successfully searches for and navigates to the requested recipe page.
claude-haiku-4-5-20251001
page: https://www.allrecipes.com/ 1. type [881] [Instant Pot Crispy Chicken Carnitas meal prep ] where [881] is Search the site page: https://www.allrecipes.com/search?q=Instant+Pot+Crispy+Chicken+Carnitas+meal+prep 2. click [666] where [666] is Save Recipe MEXICAN Instant Pot® Crispy Chicken Carnitas 14 Ratings ...
openweb_1069
heldout
Find and print a meal prep recipe.
https://www.allrecipes.com/
https://www.allrecipes.com/recipe/264155/mango-chicken-meal-prep-bowls/
4
keep
true
true
Objective is clear. Trajectory searches for meal prep recipes on AllRecipes, finds 'Mango Chicken Meal Prep Bowls,' and prints it as requested.
claude-haiku-4-5-20251001
page: https://www.allrecipes.com/ 1. type [882] [meal prep ] where [882] is Search the site page: https://www.allrecipes.com/search?q=meal+prep 2. click [695] where [695] is Save Recipe CHICKEN BREAST Mango Chicken Meal Prep Bowls 35 Ratings page: https://www.allrecipes.com/recipe/264155/mango-chicken-meal-pre...
openweb_1070
heldout
Find a healthier version of chicken enchiladas meal prep recipe and print it.
https://www.allrecipes.com/
https://www.allrecipes.com/recipe/274921/instant-pot-crispy-chicken-carnitas/?print
17
drop
true
false
Trajectory ends on chicken carnitas recipe, not enchiladas. Agent found healthier enchiladas but printed carnitas instead.
claude-haiku-4-5-20251001
page: https://www.allrecipes.com/ 1. type [892] [meal prep recipes ] where [892] is Search the site page: https://www.allrecipes.com/search?q=meal+prep+recipes 2. click [667] where [667] is Asian Chicken Salad in a Jar MEAL PREP RECIPES 20 Meal Prep Chicken Recipes That Aren't Boring page: https://www.allrecip...
openweb_1072
train
Find a Python data science course taught by a reputable institution.
https://www.coursera.org/
https://www.coursera.org/search?query=Python%20data%20science
2
keep
true
true
Objective is clear. Trajectory searches for Python data science courses on Coursera, a reputable institution platform, reaching search results.
claude-haiku-4-5-20251001
page: https://www.coursera.org/ 1. type [2058] [Python data science ] where [2058] is What do you want to learn? page: https://www.coursera.org/search?query=Python%20data%20science 2. stop [https://www.coursera.org/learn/python-data] (final recorded decision)
openweb_1073
train
Find hotels in SoHo, New York City.
https://www.google.com/maps
https://www.google.com/maps/place/SoHo,+New+York,+NY/@40.6970193,-74.3093286,10z/data=!4m6!3m5!1s0x89c2598c5e51e2f3:0xce2f3449f490f818!8m2!3d40.7245908!4d-74.0019174!16zL20vMHBuMjA?entry=ttu&g_ep=EgoyMDI0MTIxMS4wIKXMDSoASAFQAw%3D%3D
5
keep
true
true
Agent successfully navigated to SoHo neighborhood on Google Maps and identified hotels there, directly pursuing the stated objective.
claude-haiku-4-5-20251001
page: https://www.google.com/maps 1. type [139] [New York City ] where [139] is Search Google Maps page: https://www.google.com/maps/place/New+York,+NY/@40.6970193,-74.3093286,10z/data=!3m1!4b1!4m6!3m5!1s0x89c24fa5d33f083b:0… 2. click [677] where [677] is Hotels 3. click [749] where [749] is Neighborhoods 4. clic...
openweb_1074
train
Find hotels in the SoHo neighborhood of New York City.
https://www.google.com/maps
https://www.google.com/maps/search/hotels+in+SoHo+New+York+City/@40.7229874,-74.0105525,15z/data=!3m1!4b1?entry=ttu&g_ep=EgoyMDI1MDExMC4wIKXMDSoASAFQAw%3D%3D
3
keep
true
true
Objective is clear and coherent. Trajectory directly searches for hotels in SoHo NYC on Google Maps, achieving the goal successfully.
claude-haiku-4-5-20251001
page: https://www.google.com/maps 1. click [142] where [142] is Search Google Maps page: https://www.google.com/maps/@37.4333076,-122.1820416,14z?entry=ttu&g_ep=EgoyMDI1MDExMC4wIKXMDSoASAFQAw%3D%3D 2. type [142] [hotels in SoHo New York City ] where [142] is Search Google Maps page: https://www.google.com/maps...
openweb_1075
train
Find affordable accommodations in SoHo, New York City for 2 guests.
https://www.google.com/maps
https://www.google.com/maps/search/Hotels/@40.7236406,-74.0191332,15z/data=!3m1!4b1!4m7!2m6!5m4!5m3!1s2025-01-08!4m1!1i2!6e3?entry=ttu&g_ep=EgoyMDI0MTIxMS4wIKXMDSoASAFQAw%3D%3D
13
keep
true
true
Agent searches SoHo hotels for 2 guests, filters dates and price. Trajectory pursues the stated objective despite not completing the full search.
claude-haiku-4-5-20251001
page: https://www.google.com/maps 1. type [139] [New York City ] where [139] is Search Google Maps page: https://www.google.com/maps/place/New+York,+NY/@40.6970193,-74.3093286,10z/data=!3m1!4b1!4m6!3m5!1s0x89c24fa5d33f083b:0… 2. click [677] where [677] is Hotels 3. click [749] where [749] is Neighborhoods 4. clic...
openweb_1077
train
Book a hotel in New York City from January 7 to January 9 for 2 guests within a budget of $160 with free cancellation.
https://www.google.com/maps
https://www.google.com/maps/place/Hyatt+House+Jersey+City/@40.7158618,-74.0519954,15z/data=!4m24!1m10!2m9!1sHotels!5m6!5m5!1s2025-01-07!2i2!4m1!1i2!5b1!6e3!3m12!1s0x89c251ac2f168bc5:0x5056d338fd868102!5m5!1s2025-01-07!2i2!4m1!1i2!5b1!8m2!3d40.7158618!4d-74.033971!15sCgZIb3RlbHOSAQVob3RlbOABAA!16s%2Fg%2F11r9lczjdy?entry...
21
drop
true
false
Trajectory never actually books a hotel; it only searches and views details. Booking is the core objective requirement.
claude-haiku-4-5-20251001
page: https://www.google.com/maps 1. type [139] [New York City ] where [139] is Search Google Maps page: https://www.google.com/maps/place/New+York,+NY/@40.6970193,-74.3093286,10z/data=!3m1!4b1!4m6!3m5!1s0x89c24fa5d33f083b:0… 2. click [677] where [677] is Hotels 3. click [749] where [749] is Neighborhoods 4. clic...
openweb_1078
train
Find a place to stay in New York City for a short trip.
https://www.google.com/maps
https://www.booking.com/hotel/us/1850s-historic-row-house-7min-train-to-nyc-with-private-backyard.html
25
keep
true
true
Objective clearly requests finding NYC accommodation for short trip. Trajectory systematically searches Google Maps hotels, filters options, and ends on Booking.com property listing—directly pursuing the goal.
claude-haiku-4-5-20251001
page: https://www.google.com/maps 1. type [139] [New York City ] where [139] is Search Google Maps page: https://www.google.com/maps/place/New+York,+NY/@40.6970193,-74.3093286,10z/data=!3m1!4b1!4m6!3m5!1s0x89c24fa5d33f083b:0… 2. click [677] where [677] is Hotels 3. click [749] where [749] is Neighborhoods 4. clic...
openweb_1079
train
Find a place to stay in New York City.
https://www.google.com/maps
https://www.google.com/maps/place/Hampton+Inn+Manhattan%2FTimes+Square+Central/@40.7400387,-74.0319234,13z/data=!4m13!1m2!2m1!1shotels+near+New+York+City!3m9!1s0x89c259ab5432861d:0x6f25cb902cee5cb1!5m2!4m1!1i2!8m2!3d40.7556071!4d-73.9886633!15sChlob3RlbHMgbmVhciBOZXcgWW9yayBDaXR5kgEFaG90ZWzgAQA!16s%2Fg%2F11bcf3p3b3?ent...
5
keep
true
true
Objective is clear: find NYC accommodation. Trajectory searches hotels on Google Maps, selects Hampton Inn, and checks availability and rooms.
claude-haiku-4-5-20251001
page: https://www.google.com/maps 1. type [142] [hotels near New York City ] where [142] is Search Google Maps page: https://www.google.com/maps/search/hotels+near+New+York+City/@40.7400387,-74.0319234,13z/data=!3m1!4b1?entry=ttu&g_ep=E… 2. click [840] where [840] is Hampton Inn Manhattan/Times Square Central ...
openweb_1081
heldout
Find fruit dessert recipes.
https://www.allrecipes.com/
https://www.allrecipes.com/recipes/17140/desserts/fruit-desserts/
5
keep
true
true
The objective is clear and achievable. The trajectory successfully navigates to a fruit desserts recipe page using appropriate search and navigation steps.
claude-haiku-4-5-20251001
page: https://www.allrecipes.com/ 1. click [889] where [889] is Search the site 2. type [889] [desserts ] where [889] is Search the site page: https://www.allrecipes.com/search?q=desserts 3. type [122] [fruit desserts ] where [122] is Search the site page: https://www.allrecipes.com/search?q=fruit+desserts 4. ...
openweb_1082
heldout
Find an apple dessert recipe.
https://www.allrecipes.com/
https://www.allrecipes.com/recipe/18359/apple-enchilada-dessert/
3
keep
true
true
User searches for apple dessert recipe and reaches an apple dessert recipe page. Clear objective pursuit with appropriate site navigation.
claude-haiku-4-5-20251001
page: https://www.allrecipes.com/ 1. type [885] [apple dessert ] where [885] is Search the site page: https://www.allrecipes.com/search?q=apple+dessert 2. goto [https://www.allrecipes.com/recipe/18359/apple-enchilada-dessert/] page: https://www.allrecipes.com/recipe/18359/apple-enchilada-dessert/ 3. stop [Appl...
openweb_1083
heldout
Find apple dessert recipes.
https://www.allrecipes.com/
https://www.allrecipes.com/recipe/59124/apple-turnovers/
13
keep
true
true
The objective is clear: find apple dessert recipes. The trajectory systematically searches for and navigates through multiple apple dessert recipes on AllRecipes, ending at apple turnovers.
claude-haiku-4-5-20251001
page: https://www.allrecipes.com/ 1. click [889] where [889] is Search the site 2. type [889] [desserts ] where [889] is Search the site page: https://www.allrecipes.com/search?q=desserts 3. type [122] [fruit desserts ] where [122] is Search the site page: https://www.allrecipes.com/search?q=fruit+desserts 4. ...
openweb_1084
train
Get information about the latest iPhone models.
https://www.apple.com/
https://www.apple.com/shop/buy-iphone
4
keep
true
true
Objective is clear. Trajectory navigates Apple site and reaches iPhone purchase page displaying latest models (iPhone 16 series), plausibly pursuing the information goal.
claude-haiku-4-5-20251001
page: https://www.apple.com/ 1. click [170] where [170] is Global page: https://www.apple.com/airpods/ 2. click [171] where [171] is page: https://www.apple.com/store 3. click [915] where [915] is page: https://www.apple.com/shop/buy-iphone 4. stop [iPhone 16 Pro, iPhone 16 Pro Max, iPhone 16, and iPhone 16...
openweb_1085
train
Find the price of the 256 GB iPad Air for education.
https://www.apple.com/
https://www.apple.com/us-edu/shop/buy-ipad/ipad-air
9
keep
true
true
Trajectory successfully navigates to iPad Air education pricing page and clicks 256GB option. Goal clearly pursued and found.
claude-haiku-4-5-20251001
page: https://www.apple.com/ 1. click [1378] where [1378] is iPhone page: https://www.apple.com/iphone/ 2. click [1013] where [1013] is Shop iPhone page: https://www.apple.com/shop/buy-iphone 3. click [977] where [977] is page: https://www.apple.com/shop/buy-iphone/iphone-16-pro 4. click [118] where [118] i...
openweb_1087
train
Find trips to Japan from January 1 to January 3, 2025.
https://www.google.com/travel/flights
https://www.google.com/travel/flights?tfs=CBwQARocagwIAhIIL20vMGQ2bHByDAgEEggvbS8wM18zZBocagwIBBIIL20vMDNfM2RyDAgCEggvbS8wZDZscEABSAFwAYIBCwj___________8BmAEB&tfu=KgIIAw
9
keep
true
true
Objective is clear and coherent. Trajectory coherently pursues finding Japan trips for the specified dates on Google Flights, selecting destination and dates despite incomplete search results.
claude-haiku-4-5-20251001
page: https://www.google.com/travel/flights 1. click [638] where [638] is Where to? 2. click [1626] where [1626] is Japan page: https://www.google.com/travel/flights?tfs=CBwQARocagwIAhIIL20vMGQ2bHByDAgEEggvbS8wM18zZBocagwIBBIIL20vMDNfM2RyDAgCEggvb… 3. click [691] where [691] is Departure 4. click [1810] where [18...
openweb_1089
train
Find out how to build a custom integration with GitHub using their GraphQL API.
https://github.com/
https://docs.github.com/en/graphql
9
keep
true
true
Objective is clear and coherent. Trajectory navigates from GitHub homepage to GraphQL API documentation, directly pursuing the stated goal of learning to build custom GitHub integrations using GraphQL.
claude-haiku-4-5-20251001
page: https://github.com/ 1. click [158] where [158] is Close 2. click [601] where [601] is Pause demo 3. click [183] where [183] is 4. click [1171] where [1171] is 5. Attempt to perfom "click" on element "[280]" but no matching element found. Please check the observation more carefully. 6. click [1172] where [1172]...
openweb_1092
train
What are the current NCAAF scores.
https://www.espn.com/
https://www.espn.com/college-football/scoreboard
4
keep
true
true
Clear objective to find NCAAF scores. Trajectory navigates ESPN and reaches scoreboard page showing current scores.
claude-haiku-4-5-20251001
page: https://www.espn.com/ 1. scroll [down] 2. click [3862] where [3862] is page: https://www.espn.com/college-football/story/_/page/cfpbowls2024/college-football-bowl-2024-2025-schedule-matchups 3. click [2548] where [2548] is Scores page: https://www.espn.com/college-football/scoreboard 4. stop [Available o...
openweb_1093
train
Get the stats and recent updates for the Dallas Mavericks after their game against the Phoenix Suns.
https://www.google.com/
https://www.espn.com/nba/team/_/name/dal/dallas-mavericks
5
keep
true
true
The trajectory coherently pursues the objective: searches NBA scores, finds the Mavericks-Suns game result, and navigates to the Mavericks team stats page.
claude-haiku-4-5-20251001
page: https://www.google.com/ 1. type [109] [NBA scores ] where [109] is Search page: https://www.google.com/search?q=NBA+scores&sca_esv=93ff44d7863fe196&source=hp&ei=i99vZ8fjBf3ekPIP2fWByQo&iflsig=AL9hbdg… 2. click [591] where [591] is NEWS page: https://www.google.com/search?q=NBA+scores&sca_esv=93ff44d7863f...
openweb_1094
train
Compare the performance of the Dallas Mavericks and the Cleveland Cavaliers for the 2024-2025 NBA season.
https://www.google.com/
https://www.google.com/search?q=%22Dallas+Mavericks+vs+Cleveland+Cavaliers+2024-2025+NBA+season%22&sca_esv=768f8b678b2bd642&source=hp&ei=toV7Z-WfD8Gwur8P-qbI2Qs&iflsig=AL9hbdgAAAAAZ3uTxvo6nYYUyAG97BAb9Fj7yeJiUgzW&ved=0ahUKEwjl0qDoyOCKAxVBmO4BHXoTMrsQ4dUDCA4&uact=5&oq=%22Dallas+Mavericks+vs+Cleveland+Cavaliers+2024-2025...
2
keep
true
true
User asks to compare two NBA teams' 2024-2025 performance. Trajectory searches for this comparison and stops after finding relevant results.
claude-haiku-4-5-20251001
page: https://www.google.com/ 1. type [93] ["Dallas Mavericks vs Cleveland Cavaliers 2024-2025 NBA season" ] where [93] is Search page: https://www.google.com/search?q=%22Dallas+Mavericks+vs+Cleveland+Cavaliers+2024-2025+NBA+season%22&sca_esv=768f8b678b2b… 2. stop ["Cleveland Cavaliers winermalinkedly with a reco...
openweb_1098
train
Find out the price of Apple AirPods.
https://www.apple.com/
https://www.apple.com/airpods/
2
keep
true
true
Clear objective to find AirPods price. Trajectory directly navigates to AirPods page and stops at price display ($129).
claude-haiku-4-5-20251001
page: https://www.apple.com/ 1. goto [https://www.apple.com/airpods/] page: https://www.apple.com/airpods/ 2. stop [$129] (final recorded decision)
openweb_1099
train
Compare AirPods models available for purchase.
https://www.apple.com/
https://www.apple.com/airpods/compare/
9
keep
true
true
The objective is clear and coherent. The trajectory successfully navigates to the AirPods comparison page, visiting relevant product pages and ending at the correct URL displaying AirPods model comparisons.
claude-haiku-4-5-20251001
page: https://www.apple.com/ 1. click [954] where [954] is Learn more, iPhone 16 Pro page: https://www.apple.com/iphone-16-pro/ 2. click [1089] where [1089] is A hand holds iPhone 16 Pro in Desert Titanium, all screen display, Dynamic Island centered near top, rounded corners 3. click [1865] where [1865] is Learn...
openweb_11
train
Find a BBC News video.
https://www.bbc.com/news
https://www.bbc.com/news/videos/c70e2g09ng9o
4
keep
true
true
Objective is clear and well-formed. Trajectory successfully navigates to BBC News videos and finds a specific video, reaching the end URL.
claude-haiku-4-5-20251001
page: https://www.bbc.com/news 1. goto [https://www.bbc.com/news/live/c5y817zzgxqt] page: https://www.bbc.com/news/live/c5y817zzgxqt 2. click [266] where [266] is Video page: https://www.bbc.com/news/videos/c4gdgl3e404o 3. click [833] where [833] is Split screen of a man and a driverless car Man trapped inside...
openweb_110
train
Find hotels near Mt Everest available on January 14.
https://www.google.com/maps
https://www.google.com/maps/search/Hotels/@27.9880925,86.8425734,12z/data=!3m1!4b1!4m15!2m14!3m6!1sHotels!2sMt+Everest!3s0x39e854a215bd9ebd:0x576dcf806abbab2!4m2!1d86.9249751!2d27.9881206!5m5!5m4!1s2025-01-15!2i2!4m1!1i2!6e3?entry=ttu&g_ep=EgoyMDI0MTIxMS4wIKXMDSoASAFQAw%3D%3D
5
drop
true
false
Objective asks for January 14, but trajectory sets check-in to January 15. The recorded actions don't match the specified date.
claude-haiku-4-5-20251001
page: https://www.google.com/maps 1. type [142] [Mount Everest ] where [142] is Search Google Maps page: https://www.google.com/maps/place/Mt+Everest/@27.9881186,86.9043755,14z/data=!3m1!4b1!4m6!3m5!1s0x39e854a215bd9ebd:0x57… 2. click [693] where [693] is Search nearby Mt Everest page: https://www.google.com/m...
openweb_1100
train
Find open-source repositories that use JavaScript.
https://github.com/
https://github.com/search?q=language%3Ajavascript&type=repositories&p=6
7
keep
true
true
Agent searches GitHub for JavaScript repositories using language filter, navigating multiple result pages. Objective and trajectory align well.
claude-haiku-4-5-20251001
page: https://github.com/ 1. click [383] where [383] is Search or jump to… 2. type [406] [language:javascript ] where [406] is Search page: https://github.com/search?q=language%3Ajavascript&type=repositories 3. click [1283] where [1283] is Next Page page: https://github.com/search?q=language%3Ajavascript&type=...
openweb_1101
train
Find a popular JavaScript project on GitHub.
https://github.com/
https://github.com/search?q=javascript+language%3Ajavascript&type=repositories&p=4
6
keep
true
true
Agent searches for JavaScript projects on GitHub and navigates to results pages, stopping at a popular project (Node.js with 108k stars). Trajectory aligns with objective.
claude-haiku-4-5-20251001
page: https://github.com/ 1. click [382] where [382] is Search or jump to… 2. type [405] [javascript language:javascript ] where [405] is Search page: https://github.com/search?q=javascript%20language%3Ajavascript&type=repositories 3. click [1355] where [1355] is Next Page page: https://github.com/search?q=jav...
openweb_1102
train
Find information about the Kotlin programming language on GitHub.
https://github.com/
https://github.com/search?q=Kotlin&type=repositories
14
keep
true
true
Objective is clear: find Kotlin info on GitHub. Trajectory searches for Kotlin on GitHub despite detours to status page and Copilot page, ultimately reaching search results.
claude-haiku-4-5-20251001
page: https://github.com/ 1. click [383] where [383] is Search or jump to… 2. type [406] [Kotlin ] where [406] is Search page: https://github.com/search?q=Kotlin&type=repositories 3. click [17] where [17] is GitHub Status page: https://www.githubstatus.com/ 4. click [38] where [38] is GitHub Octicon logo 5. cl...
openweb_1103
train
Investigate a specific workflow (Close stale PRs) of the kotlin-web-site GitHub repository and retrieve its yaml file.
https://github.com/
https://github.com/JetBrains/kotlin-web-site/blob/master/.github/workflows/close-stale-pr.yml
5
keep
true
true
Objective is clear and well-formed. Trajectory navigates to the kotlin-web-site repository, accesses GitHub Actions, finds the specific workflow, and retrieves its YAML file content as instructed.
claude-haiku-4-5-20251001
page: https://github.com/ 1. goto [https://github.com/JetBrains/kotlin-web-site] page: https://github.com/JetBrains/kotlin-web-site 2. click [611] where [611] is Actions page: https://github.com/JetBrains/kotlin-web-site/actions 3. goto [https://github.com/JetBrains/kotlin-web-site/actions/workflows/close-stal...
openweb_1105
train
View the course offerings in different categories on Coursera.
https://www.coursera.org/
https://www.coursera.org/browse/language-learning
17
keep
true
true
Objective is clear: view course offerings across categories. Trajectory systematically explores multiple categories (Business, Computer Science, Health, Arts/Humanities, Language Learning), demonstrating the requested behavior despite some navigation detours.
claude-haiku-4-5-20251001
page: https://www.coursera.org/ 1. scroll [down] 2. scroll [down] 3. click [3213] where [3213] is Business 1095 courses 4. click [3220] where [3220] is Computer Science 668 courses page: https://www.coursera.org/browse/business 5. type [2072] [Business name] [press_enter_after=1 ] where [2072] is What do you want...
openweb_1106
train
Explore Coursera's Arts and Humanities courses, and specifically history courses.
https://www.coursera.org/
https://www.coursera.org/browse/arts-and-humanities/history
9
keep
true
true
Agent explores Coursera's Arts/Humanities courses and reaches history courses. Initial detours through Data Science and Health are normal exploration. Final destination matches objective.
claude-haiku-4-5-20251001
page: https://www.coursera.org/ 1. click [3201] where [3201] is Data Science 425 courses 2. click [3222] where [3222] is Health 471 courses page: https://www.coursera.org/browse/data-science 3. click [4594] where [4594] is Other topics to explore 4. click [4597] where [4597] is Arts and Humanities 338 courses ...
openweb_1107
train
Search for a course on ancient Greek history on Coursera.
https://www.coursera.org/
https://www.coursera.org/learn/ancient-greeks
13
keep
true
true
Clear objective to search for ancient Greek history course on Coursera. Trajectory navigates through categories, searches for relevant terms, and successfully reaches the target course page.
claude-haiku-4-5-20251001
page: https://www.coursera.org/ 1. click [3201] where [3201] is Data Science 425 courses 2. click [3222] where [3222] is Health 471 courses page: https://www.coursera.org/browse/data-science 3. click [4594] where [4594] is Other topics to explore 4. click [4597] where [4597] is Arts and Humanities 338 courses ...
openweb_111
train
Find reviews for hotels near Mt Everest.
https://www.google.com/maps
https://www.google.com/maps/place/Mountain+Lodges+of+Nepal+-+Namche/@27.804674,86.5685992,12z/data=!4m31!1m16!2m15!1sHotels!3m6!1sHotels!2sMt+Everest!3s0x39e854a215bd9ebd:0x576dcf806abbab2!4m2!1d86.9249751!2d27.9881206!5m5!5m4!1s2025-01-15!2i3!4m1!1i2!6e3!3m13!1s0x39e908c5681ba72d:0x68b397779d598bd0!5m4!1s2025-01-15!2i...
9
keep
true
true
Agent successfully searched for hotels near Mt Everest on Google Maps and accessed reviews for a specific hotel (Mountain Lodges of Nepal - Namche), directly fulfilling the objective.
claude-haiku-4-5-20251001
page: https://www.google.com/maps 1. type [142] [Mount Everest ] where [142] is Search Google Maps page: https://www.google.com/maps/place/Mt+Everest/@27.9881186,86.9043755,14z/data=!3m1!4b1!4m6!3m5!1s0x39e854a215bd9ebd:0x57… 2. click [693] where [693] is Search nearby Mt Everest page: https://www.google.com/m...
openweb_1111
heldout
Define box office.
https://dictionary.cambridge.org/
https://dictionary.cambridge.org/dictionary/english/box-office
2
keep
true
true
Clear objective to define a term. Trajectory searches for 'box office' on Cambridge Dictionary and reaches the definition page, successfully completing the task.
claude-haiku-4-5-20251001
page: https://dictionary.cambridge.org/ 1. type [272] [box office ] where [272] is Search page: https://dictionary.cambridge.org/dictionary/english/box-office 2. stop [the place in a cinema or theatre where tickets are sold; the number of tickets sold for a film, as a measure of how successful a film or actor is]...
openweb_1112
train
Find out the price of GitHub Copilot.
https://github.com/
https://github.com/features/copilot
2
keep
true
true
Agent navigated directly to GitHub Copilot pricing page and extracted clear pricing information matching the objective.
claude-haiku-4-5-20251001
page: https://github.com/ 1. goto [https://github.com/features/copilot] page: https://github.com/features/copilot 2. stop [$0/ Free, $10/ Pro, $19/ Business, $39/ Enterprise] (final recorded decision)
openweb_1113
train
Find out the price of GitHub Copilot.
https://github.com/
https://github.com/login?return_to=%2Fgithub-copilot%2Fsignup%3Fcft%3Dcopilot_lo.features_copilot.cfi&cft=copilot_lo.features_copilot.cfi
9
drop
true
false
Trajectory stops at login page before revealing pricing information. Agent never accesses actual pricing details.
claude-haiku-4-5-20251001
page: https://github.com/ 1. click [158] where [158] is Close 2. click [184] where [184] is 3. click [191] where [191] is page: https://github.com/features/copilot 4. Attempt to perfom "type" on element "[191]" but no matching element found. Please check the observation more carefully. 5. click [959] where [959] ...
openweb_1114
train
The most likely instruction is to "Get the features of the iPhone 16 Pro Max."
https://www.apple.com/
https://www.apple.com/iphone/
11
drop
true
false
Trajectory visits iPhone 16 Pro page but doesn't systematically explore features. Multiple detours and backtracking suggest unclear navigation toward the goal.
claude-haiku-4-5-20251001
page: https://www.apple.com/ 1. click [190] where [190] is Store page: https://www.apple.com/store 2. goto [https://www.apple.com/shop/buy-iphone/iphone-16-pro] page: https://www.apple.com/shop/buy-iphone/iphone-16-pro 3. go_back page: https://www.apple.com/store 4. scroll [down] 5. click [900] where [900] ...
openweb_1115
train
Find out about the camera features of the iPhone 16 Pro.
https://www.apple.com/
https://www.apple.com/iphone-16-pro/
2
keep
true
true
Objective is clear and coherent. Trajectory navigates to iPhone 16 Pro page and stops after finding camera information, directly addressing the objective.
claude-haiku-4-5-20251001
page: https://www.apple.com/ 1. click [954] where [954] is Learn more, iPhone 16 Pro page: https://www.apple.com/iphone-16-pro/ 2. stop [Camera features: Take total Camera Control, 4K 120 fps Dolby Vision, New 48MP Ultra Wide camera, and more.] (final recorded decision)
openweb_1116
train
Does the iPhone have a 28 mm camera?
https://www.apple.com/
https://www.apple.com/iphone-16-pro/
13
drop
false
false
Objective is a yes/no question, not an instruction. Trajectory explores iPhone cameras but never answers the specific 28mm question.
claude-haiku-4-5-20251001
page: https://www.apple.com/ 1. click [188] where [188] is page: https://www.apple.com/store 2. click [305] where [305] is page: https://www.apple.com/iphone/ 3. click [2359] where [2359] is Compare iPhone page: https://www.apple.com/iphone/compare/ 4. click [23266] where [23266] is Pro camera system 48MP F...
openweb_1117
train
What are the different camera zoom levels available on the iPhone 16 Pro?
https://www.apple.com/
https://www.apple.com/iphone-16-pro/
17
keep
true
true
Trajectory navigates to iPhone 16 Pro specs and clicks camera zoom level images (24mm, 28mm, 120mm), directly addressing the objective.
claude-haiku-4-5-20251001
page: https://www.apple.com/ 1. click [188] where [188] is page: https://www.apple.com/store 2. click [305] where [305] is page: https://www.apple.com/iphone/ 3. click [2359] where [2359] is Compare iPhone page: https://www.apple.com/iphone/compare/ 4. click [23266] where [23266] is Pro camera system 48MP F...
openweb_1118
train
Compare the camera features of the iPhone 16 Pro.
https://www.apple.com/
https://www.apple.com/iphone-16-pro/
21
keep
true
true
User seeks iPhone 16 Pro camera features. Trajectory visits the iPhone 16 Pro page, navigates camera sections, and explores zoom levels and photographic styles.
claude-haiku-4-5-20251001
page: https://www.apple.com/ 1. click [188] where [188] is page: https://www.apple.com/store 2. click [305] where [305] is page: https://www.apple.com/iphone/ 3. click [2359] where [2359] is Compare iPhone page: https://www.apple.com/iphone/compare/ 4. click [23266] where [23266] is Pro camera system 48MP F...
openweb_112
train
Find information about hotels near Mt. Everest.
https://www.google.com/maps
https://www.google.com/maps/search/Hotels/@27.9880925,86.8425734,12z/data=!3m1!4b1!4m7!2m6!3m5!2sMt+Everest!3s0x39e854a215bd9ebd:0x576dcf806abbab2!4m2!1d86.9249751!2d27.9881206?entry=ttu&g_ep=EgoyMDI0MTIxMS4wIKXMDSoASAFQAw%3D%3D
3
keep
true
true
Agent searches for Mt. Everest, then filters results to show hotels in that area. Clear objective pursued directly.
claude-haiku-4-5-20251001
page: https://www.google.com/maps 1. type [142] [Mt. Everest ] where [142] is Search Google Maps page: https://www.google.com/maps/place/Mt+Everest/@27.9881186,86.9043755,14z/data=!3m1!4b1!4m6!3m5!1s0x39e854a215bd9ebd:0x57… 2. click [238] where [238] is Hotels page: https://www.google.com/maps/search/Hotels/@2...
openweb_1121
heldout
Find a recipe for gluten-free bread in a bread machine.
https://www.allrecipes.com/
https://www.allrecipes.com/recipe/259762/gluten-free-bread-in-a-bread-machine/
3
keep
true
true
Clear instruction to find a gluten-free bread machine recipe. Trajectory directly searches for and reaches the exact recipe page requested.
claude-haiku-4-5-20251001
page: https://www.allrecipes.com/ 1. type [882] [gluten-free bread machine recipe ] where [882] is Search the site page: https://www.allrecipes.com/search?q=gluten-free+bread+machine+recipe 2. goto [https://www.allrecipes.com/recipe/259762/gluten-free-bread-in-a-bread-machine/] page: https://www.allrecipes.com...
openweb_1122
heldout
Leave a review for a gluten-free bread recipe.
https://www.allrecipes.com/
https://www.allrecipes.com/recipe/259762/gluten-free-bread-in-a-bread-machine/
9
keep
true
true
Demonstrator found the gluten-free bread recipe and attempted to leave a review, typing review text and selecting a rating before stopping.
claude-haiku-4-5-20251001
page: https://www.allrecipes.com/ 1. click [141] where [141] is Search the site 2. type [889] [gluten-free recipes ] where [889] is Search the site page: https://www.allrecipes.com/search?q=gluten-free+recipes 3. click [1128] where [1128] is Go to page 2 of search results page: https://www.allrecipes.com/searc...
openweb_1123
heldout
Leave a review for a gluten-free recipe.
https://www.allrecipes.com/
https://www.allrecipes.com/recipe/240496/gluten-free-sugar-cookies/
9
keep
true
true
Agent searches for gluten-free recipes, navigates to a gluten-free sugar cookie recipe, writes and submits a review with rating successfully.
claude-haiku-4-5-20251001
page: https://www.allrecipes.com/ 1. type [881] [gluten-free recipes ] where [881] is Search the site page: https://www.allrecipes.com/search?q=gluten-free+recipes 2. click [675] where [675] is A plate of decorated holiday sugar cookies in various shapes. Save Recipe CUT-OUT COOKIE RECIPES Gluten-Free Sugar Cooki...
openweb_1124
train
Watch a stress-relieving video from a reputable news source.
https://www.bbc.com/news
https://www.bbc.com/reel/video/p0kc9byg/a-simple-practice-that-is-good-for-stress
5
keep
true
true
Objective is clear and coherent. Trajectory successfully navigates BBC to find and watch a stress-relieving video, achieving the stated goal.
claude-haiku-4-5-20251001
page: https://www.bbc.com/news 1. click [1251] where [1251] is Business page: https://www.bbc.com/business 2. click [146] where [146] is page: https://www.bbc.com/innovation 3. click [1280] where [1280] is A simple practice that is good for stress page: https://www.bbc.com/reel/video/p0kc9byg/a-simple-pract...
openweb_1125
train
Browse through health and wellness articles
https://www.bbc.com/news
https://www.bbc.com/reel/video/p0jc5bmh/how-your-gut-microbes-shape-your-health
9
keep
true
true
Objective coherent: clear instruction to browse health/wellness articles. Trajectory consistent: navigates BBC health content, visits multiple wellness videos including stress, nutrition, and gut health topics.
claude-haiku-4-5-20251001
page: https://www.bbc.com/news 1. click [1251] where [1251] is Business page: https://www.bbc.com/business 2. click [146] where [146] is page: https://www.bbc.com/innovation 3. click [1280] where [1280] is A simple practice that is good for stress page: https://www.bbc.com/reel/video/p0kc9byg/a-simple-pract...
openweb_1126
train
Find videos and articles related to health and wellness.
https://www.bbc.com/news
https://www.bbc.com/reel/video/p0jw4jrg/how-to-reset-your-brain-with-your-breath
13
keep
true
true
Objective is clear and well-formed. Trajectory systematically browses BBC health and wellness videos, successfully finding multiple relevant health videos before ending at a breathing/wellness video.
claude-haiku-4-5-20251001
page: https://www.bbc.com/news 1. click [1251] where [1251] is Business page: https://www.bbc.com/business 2. click [146] where [146] is page: https://www.bbc.com/innovation 3. click [1280] where [1280] is A simple practice that is good for stress page: https://www.bbc.com/reel/video/p0kc9byg/a-simple-pract...
openweb_1127
train
Search for hotels in [location] on a specific date.
https://www.booking.com/
https://www.booking.com/searchresults.html
9
keep
true
true
Agent searches for hotels on Booking.com with location and check-in date, successfully reaching search results page. Objective coherent and trajectory plausibly pursues it.
claude-haiku-4-5-20251001
page: https://www.booking.com/ 1. click [4186] where [4186] is Dismiss sign-in info. 2. type [329] [location] where [329] is Where are you going? 3. click [337] where [337] is Check-in Date 4. click [4333] where [4333] is 10 January 2025 5. click [340] where [340] is Check-out Date 6. click [351] where [351] is Sear...
openweb_1128
train
Find available check-in dates for a stay.
https://www.booking.com/
https://www.booking.com/city/us/new-york.html
12
keep
true
true
Objective is clear: find available check-in dates. Trajectory demonstrates selecting check-in dates, check-out dates, and destination on Booking.com, directly pursuing the stated goal.
claude-haiku-4-5-20251001
page: https://www.booking.com/ 1. click [4187] where [4187] is Dismiss sign-in info. 2. click [330] where [330] is Where are you going? 3. click [338] where [338] is Check-in Date 4. scroll [down] 5. click [4301] where [4301] is 1 January 2025 6. click [4271] where [4271] is Next month 7. click [341] where [341] is ...
openweb_1129
train
Browse Data Science courses related to Finance on Coursera.
https://www.coursera.org/
https://www.coursera.org/search?query=data%20science%20for%20finance%5D%20%5Bpress_enter_after%3D1&topic=Data%20Science&sortBy=BEST_MATCH
5
keep
true
true
Objective is clear and well-formed. Trajectory searches for Data Science courses related to Finance on Coursera, reaching relevant results page as intended.
claude-haiku-4-5-20251001
page: https://www.coursera.org/ 1. click [3201] where [3201] is Data Science 425 courses 2. click [3222] where [3222] is Health 471 courses page: https://www.coursera.org/browse/data-science 3. type [2072] [data science for finance] [press_enter_after=1 ] where [2072] is What do you want to learn? page: https:...
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NNetNav-live objective filter

Per-task quality verdicts for stanfordnlp/nnetnav-live (commit 7f69dca), produced with claude-haiku-4-5-20251001 through a distilabel pipeline. NNetNav-live objectives were written retroactively by an LLM for exploration trajectories; some are garbled or do not match what the recorded trajectory does. For each of the 5017 tasks the judge saw the objective, the start and end URL and the executed actions with element names and URLs (no accessibility trees) and answered with a structured verdict: objective_coherent, trajectory_consistent, decision (keep/drop) and a short reason.

Used to filter the training data of johannhartmann/decider-2b-a11y-crawler-lora (notebook 02_decision_crawler_trainieren.ipynb in the repository of the talk "Lokale Modelle selbst trainieren").

Results

split tasks keep drop
train 4025 3479 546
heldout 992 866 126
all 5017 4345 672

split follows the notebook: heldout = tasks that touch amazon.com, allrecipes.com or cambridge.org (evaluation only), train = all other tasks.

Examples of dropped objectives:

  • "Check the current NBA standings." — Agent successfully navigates to NBA standings but then abandons the task by going to unrelated homepage, indicating trajectory doesn't pursue the stated objective to completion.
  • "Compare Victor Wembanyama's stats to Wilt Chamberlain's stats from the 1973 season." — Trajectory finds Wilt's 1973 stats but never retrieves Wembanyama's stats for comparison as objective requires.
  • "Find Java repositories on GitHub created after December 1st, 2024." — Search query contains malformed syntax ('S-01' instead of valid date format); trajectory doesn't achieve valid Java repository search after December 1st, 2024.
  • "None that I can determine explicitly, but the user seems to be researching or studying the specific arXiv article, possibly preparing for the 2024-2026 Europea…" — Objective is meta-commentary about the user's possible intent rather than a clear instruction. It's a labeler's interpretation, not a user-givengoal.
  • "Book a room in Las Vegas for 2 adults on January 15." — Trajectory selects January 15 as check-out, not check-in. Booking requires both check-in and check-out dates; the objective implies January 15 as check-in date.
  • "Finally, since we cannot determine an objective from a sequence when there are alternatives like the objective would focus either on checking world news or lea…" — Objective is garbled meta-commentary about labeling uncertainty, not a coherent instruction. Cannot assess trajectory against incoherent objective.

Columns

task_id (NNetNav task_name), split, objective, start_url, end_url, n_steps, decision, objective_coherent, trajectory_consistent, reason, model, prompt_trajectory (exactly the trajectory text the judge saw). The prompt is in raw/prompt.json.

Cost and reproducibility

5065 API calls, $6.91 in total (ledger raw/api_ledger.jsonl, prices claude-haiku-4-5-20251001: $1.0/$5.0 per MTok in/out). raw/llm_cache.sqlite holds every paid answer keyed by the exact request, so re-running the pipeline with the same prompt costs nothing.

Limitations

A single LLM judgement per task, no human review. The judge sees actions and URLs, not the pages. A dropped task is not necessarily useless, and a kept task can still contain wrong individual steps.

License and attribution

Apache-2.0, derived from NNetNav-live by Stanford NLP (Apache-2.0; Murty et al., NNetNav: Unsupervised Learning of Browser Agents Through Environment Interaction in the Wild). Verdicts generated with Anthropic Claude Haiku 4.5.

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