The dataset viewer is not available for this split.
Error code: FeaturesError
Exception: ArrowInvalid
Message: JSON parse error: Invalid value. in row 0
Traceback: Traceback (most recent call last):
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 324, in _generate_tables
df = pandas_read_json(f)
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 38, in pandas_read_json
return pd.read_json(path_or_buf, **kwargs)
~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/pandas/io/json/_json.py", line 815, in read_json
return json_reader.read()
~~~~~~~~~~~~~~~~^^
File "/usr/local/lib/python3.14/site-packages/pandas/io/json/_json.py", line 1014, in read
obj = self._get_object_parser(self.data)
File "/usr/local/lib/python3.14/site-packages/pandas/io/json/_json.py", line 1040, in _get_object_parser
obj = FrameParser(json, **kwargs).parse()
File "/usr/local/lib/python3.14/site-packages/pandas/io/json/_json.py", line 1176, in parse
self._parse()
~~~~~~~~~~~^^
File "/usr/local/lib/python3.14/site-packages/pandas/io/json/_json.py", line 1392, in _parse
ujson_loads(json, precise_float=self.precise_float), dtype=None
~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
ValueError: Expected object or value
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "/src/services/worker/src/worker/job_runners/split/first_rows.py", line 249, in compute_first_rows_from_streaming_response
iterable_dataset = iterable_dataset._resolve_features()
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 4379, in _resolve_features
features = _infer_features_from_batch(self.with_format(None)._head())
~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2661, in _head
return next(iter(self.iter(batch_size=n)))
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2839, in iter
for key, pa_table in ex_iterable.iter_arrow():
~~~~~~~~~~~~~~~~~~~~~~^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2377, in _iter_arrow
yield from self.ex_iterable._iter_arrow()
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 536, in _iter_arrow
for key, pa_table in iterator:
^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 419, in _iter_arrow
for key, pa_table in self.generate_tables_fn(**gen_kwags):
~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 327, in _generate_tables
raise e
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 290, in _generate_tables
pa_table = paj.read_json(
io.BytesIO(batch), read_options=paj.ReadOptions(block_size=block_size)
)
File "pyarrow/_json.pyx", line 342, in pyarrow._json.read_json
File "pyarrow/error.pxi", line 155, in pyarrow.lib.pyarrow_internal_check_status
File "pyarrow/error.pxi", line 92, in pyarrow.lib.check_status
raise convert_status(status)
pyarrow.lib.ArrowInvalid: JSON parse error: Invalid value. in row 0Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
YAML Metadata Warning:empty or missing yaml metadata in repo card
Check out the documentation for more information.
EvoCUA Review Artifact
This is an anonymized, review-only snapshot of the inference and evaluation code for the submitted EvoCUA models.
Scope
Included:
- agent inference, prompt, parsing, and action-generation code;
- the desktop evaluation environment and task configurations;
- evaluation launch and result-aggregation utilities;
- dependency specifications and an environment-variable template.
Not included:
- model weights;
- synthetic-task generation or training code;
- production orchestration infrastructure;
- the manuscript or technical report;
- upstream repository history and promotional assets.
This artifact therefore supports inspection of the agent implementation and reproduction of evaluation runs when used with a compatible local checkpoint. It does not by itself reproduce model training.
Setup
Python 3.11 is recommended.
python3 -m venv .venv
source .venv/bin/activate
pip install -r requirements.txt
Serve a compatible local checkpoint through a vLLM OpenAI-compatible endpoint:
The checkpoint-serving environment used for the reported evaluation employed
torch==2.8.0+cu126, transformers==4.57.3, and vllm==0.11.0. These serving
dependencies are separate from the desktop evaluation-client dependencies in
requirements.txt.
vllm serve /path/to/local/checkpoint \
--served-model-name EvoCUA \
--host 127.0.0.1 \
--port 8080 \
--tensor-parallel-size 2
export OPENAI_API_KEY="dummy"
export OPENAI_BASE_URL="http://127.0.0.1:8080/v1"
Example evaluation command:
python3 run_multienv_evocua.py \
--headless \
--provider_name aws \
--observation_type screenshot \
--model EvoCUA-S2 \
--result_dir ./evocua_results \
--test_all_meta_path evaluation_examples/test_nogdrive.json \
--max_steps 50 \
--num_envs 30 \
--temperature 0.01 \
--max_history_turns 4 \
--coordinate_type relative \
--resize_factor 32 \
--prompt_style S2
Layout
.
├── run_multienv_evocua.py
├── lib_run_single.py
├── lib_results_logger.py
├── desktop_env/
├── mm_agents/
└── evaluation_examples/
External credentials
Credentials for external services and benchmark email accounts are not included. The Thunderbird settings file contains explicit placeholders; supply review-only credentials locally if evaluating tasks that require that service.
License
The original Apache License 2.0 file is retained. It includes legally relevant third-party attribution for inherited evaluation-environment code.
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