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Datasets:
Lexmount
/
LexBench-Browser

Tasks:
Question Answering
Text Generation
Reinforcement Learning
Languages:
Chinese
English
Size:
n<1K
Tags:
browser-agent
web-agent
benchmark
evaluation
automation
License:
Dataset card Files
xet
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The dataset viewer is not available for this split.
Cannot load the dataset split (in streaming mode) to extract the first rows.
Error code:   StreamingRowsError
Exception:    CastError
Message:      Couldn't cast
id: int64
query: string
task_type: string
domain: string
difficulty: string
login_required: bool
login_type: string
risk_control: bool
risk_control_types: list<item: string>
  child 0, item: string
target_website: string
reasoning_type: string
language: string
website_region: string
reference_answer: struct<steps: list<item: string>, key_points: list<item: string>, common_mistakes: list<item: string (... 109 chars omitted)
  child 0, steps: list<item: string>
      child 0, item: string
  child 1, key_points: list<item: string>
      child 0, item: string
  child 2, common_mistakes: list<item: string>
      child 0, item: string
  child 3, scoring: struct<total: int64, items: list<item: struct<name: string, score: int64, description: string>>>
      child 0, total: int64
      child 1, items: list<item: struct<name: string, score: int64, description: string>>
          child 0, item: struct<name: string, score: int64, description: string>
              child 0, name: string
              child 1, score: int64
              child 2, description: string
score_threshold: int64
robustness_tags: list<item: string>
  child 0, item: string
split: struct<All: string, lexmount: string, global: string>
  child 0, All: string
  child 1, lexmount: string
  child 2, global: string
default_split: string
huggingface: struct<LexBench-Browser: struct<repo_id: string, private: bool, path_prefix: string>>
  child 0, LexBench-Browser: struct<repo_id: string, private: bool, path_prefix: string>
 
...
, sequence_complexity: list<item: string>, content_dyna (... 132 chars omitted)
              child 0, popup_interference: list<item: string>
                  child 0, item: string
              child 1, sequence_complexity: list<item: string>
                  child 0, item: string
              child 2, content_dynamics: list<item: string>
                  child 0, item: string
              child 3, anti_crawl: list<item: string>
                  child 0, item: string
              child 4, localization: list<item: string>
                  child 0, item: string
              child 5, complex_interaction: list<item: string>
                  child 0, item: string
          child 3, notes: string
      child 4, label_system: struct<task_type: list<item: string>, reasoning_type: list<item: string>, domain: list<item: string> (... 100 chars omitted)
          child 0, task_type: list<item: string>
              child 0, item: string
          child 1, reasoning_type: list<item: string>
              child 0, item: string
          child 2, domain: list<item: string>
              child 0, item: string
          child 3, difficulty: list<item: string>
              child 0, item: string
          child 4, language: list<item: string>
              child 0, item: string
          child 5, robustness_tags: list<item: string>
              child 0, item: string
      child 5, features: list<item: string>
          child 0, item: string
      child 6, last_updated: timestamp[s]
to
{'default_split': Value('string'), 'split': {'All': Value('string'), 'lexmount': Value('string'), 'global': Value('string')}, 'version_info': {'LexBench-Browser': {'total_tasks': Value('int64'), 'version': Value('string'), 'description': Value('string'), 'robustness_tags': {'categories': Value('int64'), 'tag_count': Value('int64'), 'categories_detail': {'popup_interference': List(Value('string')), 'sequence_complexity': List(Value('string')), 'content_dynamics': List(Value('string')), 'anti_crawl': List(Value('string')), 'localization': List(Value('string')), 'complex_interaction': List(Value('string'))}, 'notes': Value('string')}, 'label_system': {'task_type': List(Value('string')), 'reasoning_type': List(Value('string')), 'domain': List(Value('string')), 'difficulty': List(Value('string')), 'language': List(Value('string')), 'robustness_tags': List(Value('string'))}, 'features': List(Value('string')), 'last_updated': Value('timestamp[s]')}}, 'huggingface': {'LexBench-Browser': {'repo_id': Value('string'), 'private': Value('bool'), 'path_prefix': Value('string')}}}
because column names don't match
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/utils.py", line 99, in get_rows_or_raise
                  return get_rows(
                         ^^^^^^^^^
                File "/src/libs/libcommon/src/libcommon/utils.py", line 272, in decorator
                  return func(*args, **kwargs)
                         ^^^^^^^^^^^^^^^^^^^^^
                File "/src/services/worker/src/worker/utils.py", line 77, in get_rows
                  rows_plus_one = list(itertools.islice(ds, rows_max_number + 1))
                                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2690, in __iter__
                  for key, example in ex_iterable:
                                      ^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2227, in __iter__
                  for key, pa_table in self._iter_arrow():
                                       ^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2251, in _iter_arrow
                  for key, pa_table in self.ex_iterable._iter_arrow():
                                       ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 494, in _iter_arrow
                  for key, pa_table in iterator:
                                       ^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 384, in _iter_arrow
                  for key, pa_table in self.generate_tables_fn(**gen_kwags):
                                       ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 299, in _generate_tables
                  self._cast_table(pa_table, json_field_paths=json_field_paths),
                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 128, in _cast_table
                  pa_table = table_cast(pa_table, self.info.features.arrow_schema)
                             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2321, in table_cast
                  return cast_table_to_schema(table, schema)
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2249, in cast_table_to_schema
                  raise CastError(
              datasets.table.CastError: Couldn't cast
              id: int64
              query: string
              task_type: string
              domain: string
              difficulty: string
              login_required: bool
              login_type: string
              risk_control: bool
              risk_control_types: list<item: string>
                child 0, item: string
              target_website: string
              reasoning_type: string
              language: string
              website_region: string
              reference_answer: struct<steps: list<item: string>, key_points: list<item: string>, common_mistakes: list<item: string (... 109 chars omitted)
                child 0, steps: list<item: string>
                    child 0, item: string
                child 1, key_points: list<item: string>
                    child 0, item: string
                child 2, common_mistakes: list<item: string>
                    child 0, item: string
                child 3, scoring: struct<total: int64, items: list<item: struct<name: string, score: int64, description: string>>>
                    child 0, total: int64
                    child 1, items: list<item: struct<name: string, score: int64, description: string>>
                        child 0, item: struct<name: string, score: int64, description: string>
                            child 0, name: string
                            child 1, score: int64
                            child 2, description: string
              score_threshold: int64
              robustness_tags: list<item: string>
                child 0, item: string
              split: struct<All: string, lexmount: string, global: string>
                child 0, All: string
                child 1, lexmount: string
                child 2, global: string
              default_split: string
              huggingface: struct<LexBench-Browser: struct<repo_id: string, private: bool, path_prefix: string>>
                child 0, LexBench-Browser: struct<repo_id: string, private: bool, path_prefix: string>
               
              ...
              , sequence_complexity: list<item: string>, content_dyna (... 132 chars omitted)
                            child 0, popup_interference: list<item: string>
                                child 0, item: string
                            child 1, sequence_complexity: list<item: string>
                                child 0, item: string
                            child 2, content_dynamics: list<item: string>
                                child 0, item: string
                            child 3, anti_crawl: list<item: string>
                                child 0, item: string
                            child 4, localization: list<item: string>
                                child 0, item: string
                            child 5, complex_interaction: list<item: string>
                                child 0, item: string
                        child 3, notes: string
                    child 4, label_system: struct<task_type: list<item: string>, reasoning_type: list<item: string>, domain: list<item: string> (... 100 chars omitted)
                        child 0, task_type: list<item: string>
                            child 0, item: string
                        child 1, reasoning_type: list<item: string>
                            child 0, item: string
                        child 2, domain: list<item: string>
                            child 0, item: string
                        child 3, difficulty: list<item: string>
                            child 0, item: string
                        child 4, language: list<item: string>
                            child 0, item: string
                        child 5, robustness_tags: list<item: string>
                            child 0, item: string
                    child 5, features: list<item: string>
                        child 0, item: string
                    child 6, last_updated: timestamp[s]
              to
              {'default_split': Value('string'), 'split': {'All': Value('string'), 'lexmount': Value('string'), 'global': Value('string')}, 'version_info': {'LexBench-Browser': {'total_tasks': Value('int64'), 'version': Value('string'), 'description': Value('string'), 'robustness_tags': {'categories': Value('int64'), 'tag_count': Value('int64'), 'categories_detail': {'popup_interference': List(Value('string')), 'sequence_complexity': List(Value('string')), 'content_dynamics': List(Value('string')), 'anti_crawl': List(Value('string')), 'localization': List(Value('string')), 'complex_interaction': List(Value('string'))}, 'notes': Value('string')}, 'label_system': {'task_type': List(Value('string')), 'reasoning_type': List(Value('string')), 'domain': List(Value('string')), 'difficulty': List(Value('string')), 'language': List(Value('string')), 'robustness_tags': List(Value('string'))}, 'features': List(Value('string')), 'last_updated': Value('timestamp[s]')}}, 'huggingface': {'LexBench-Browser': {'repo_id': Value('string'), 'private': Value('bool'), 'path_prefix': Value('string')}}}
              because column names don't match

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LexBench-Browser

LexBench-Browser is a public browser-agent dataset for evaluating agents on real-web workflows. The v1.0 snapshot contains 210 no-login tasks across 107 distinct websites, with Chinese and English instructions, task-level reference steps, key points, common mistakes, scoring rubrics, and robustness tags.

Repository: https://github.com/lexmount/browseruse-agent-bench

Dataset page: https://huggingface.co/datasets/Lexmount/LexBench-Browser

Docs: https://docs.bubench.lexmount.io/

Contact: lexbench@lexmount.com

Dataset Summary

LexBench-Browser is designed to support browser-agent engineering in browseruse-agent-bench:

  • run an agent against real websites
  • compare local and cloud browser backends
  • evaluate task success with a declared judge strategy
  • inspect trajectories and failure modes
  • submit reproducible leaderboard results

The dataset does not require login for the v1.0 public snapshot.

Files 

LexBench-Browser/
|-- data_info.json
|-- task.jsonl
|-- task_global.jsonl
|-- task_lexmount.jsonl
`-- VERSION_HISTORY.md

Splits:

Split File Tasks Notes
All task.jsonl 210 Default public v1.0 split
global task_global.jsonl 92 Global-region task subset
lexmount task_lexmount.jsonl 118 Lexmount-region task subset

Fields

Each JSONL row includes:

  • id: stable task id
  • query: user-facing browser task
  • task_type: task type label
  • domain: domain category
  • difficulty: easy, medium, or hard
  • login_required: whether login is required
  • risk_control: whether the task has risk-control constraints
  • target_website: intended website or website family
  • reasoning_type: reasoning complexity label
  • language: zh or en
  • website_region: expected region/language context
  • reference_answer: reference steps, key points, common mistakes, and scoring rubric
  • score_threshold: pass threshold
  • robustness_tags: practical browser-agent stressors

Label Distribution

Language:

Language Tasks
zh 137
en 73

Reasoning type:

Reasoning type Tasks
single_step 117
multi_step 70
deep_analysis 23

Domain:

Domain Tasks
finance_gaming 44
video_platform 42
tools_education 40
general 34
social_lifestyle 26
ecommerce 23
gaming 1

Robustness Tags

Tags cover:

  • popup interference: login_popup, cookie_consent, ad_overlay
  • sequence complexity: long_sequence, deep_navigation, multi_site
  • content dynamics: realtime_data, lazy_load_scroll, iframe_embed
  • anti-crawl behavior: captcha_verification, anti_bot, rate_limiting
  • localization: chinese_rendering, cross_language
  • complex interaction: filter_sort, data_extraction

Usage 

git clone https://github.com/lexmount/browseruse-agent-bench.git
cd browseruse-agent-bench
uv sync --extra browser-use
uv run bubench run --agent browser-use --data LexBench-Browser --mode first_n --count 3

For official leaderboard submissions, follow the repository evaluation protocol and result submission docs.

Licensing

The LexBench-Browser dataset metadata and task definitions are released under CC-BY 4.0.

This license covers the curated task records, labels, reference steps, scoring rubrics, and metadata authored for the dataset. It does not relicense third-party website content, screenshots, traces, marks, page text, or other artifacts collected while running agents.

Repository code is licensed separately under Apache-2.0.

Limitations

  • Real websites change over time, so tasks may become easier, harder, or temporarily unavailable.
  • Some websites may show region-specific content, anti-bot interstitials, cookie banners, or localized layouts.
  • The public v1.0 snapshot avoids login-required tasks.
  • Automated judge results should be interpreted with the declared judge model, prompt strategy, benchmark version, and browser backend.

Citation

Use the repository CITATION.cff for citation metadata.
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