Datasets:

earakely-scale
/

DiaFromRequestComputerEnv-REA

Error code:   DatasetGenerationError
Exception:    ArrowInvalid
Message:      Schema at index 1 was different: 
id: string
type: string
env_id: string
vs
environment: string
app_version: string
task: string
prompt: string
agent: string
model: string
agentenv_framework: string
witness: string
runs: list<item: struct<run: int64, verdict: string, turns: int64, usd: double, checks: struct<rename-stock-box: struct<score: double, results: list<item: struct<id: string, result: bool, description: string, settled: bool, read_cut: bool>>>>>>
Traceback:    Traceback (most recent call last):
                File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1876, in _prepare_split_single
                  num_examples, num_bytes = writer.finalize()
                                            ~~~~~~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/datasets/arrow_writer.py", line 830, in finalize
                  self.write_rows_on_file()
                  ~~~~~~~~~~~~~~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/datasets/arrow_writer.py", line 689, in write_rows_on_file
                  table = pa.concat_tables(self.current_rows)
                File "pyarrow/table.pxi", line 6268, in pyarrow.lib.concat_tables
                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: Schema at index 1 was different: 
              id: string
              type: string
              env_id: string
              vs
              environment: string
              app_version: string
              task: string
              prompt: string
              agent: string
              model: string
              agentenv_framework: string
              witness: string
              runs: list<item: struct<run: int64, verdict: string, turns: int64, usd: double, checks: struct<rename-stock-box: struct<score: double, results: list<item: struct<id: string, result: bool, description: string, settled: bool, read_cut: bool>>>>>>
              
              The above exception was the direct cause of the following exception:
              
              Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1379, in compute_config_parquet_and_info_response
                  parquet_operations, partial, estimated_dataset_info = stream_convert_to_parquet(
                                                                        ~~~~~~~~~~~~~~~~~~~~~~~~~^
                      builder, max_dataset_size_bytes=max_dataset_size_bytes
                      ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                  )
                  ^
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 956, in stream_convert_to_parquet
                  builder._prepare_split(split_generator=splits_generators[split], file_format="parquet")
                  ~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1702, in _prepare_split
                  for job_id, done, content in self._prepare_split_single(
                                               ~~~~~~~~~~~~~~~~~~~~~~~~~~^
                      gen_kwargs=gen_kwargs, job_id=job_id, **_prepare_split_args
                      ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                  ):
                  ^
                File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1887, in _prepare_split_single
                  raise DatasetGenerationError("An error occurred while generating the dataset") from e
              datasets.exceptions.DatasetGenerationError: An error occurred while generating the dataset

Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.

id string	type string	env_id string	env_ids list	name string	depends_on list	prompt string	file_artifact_id null	verifier_id null
env	deploy_env	dia	null	null	null	null	null	null
agent	deploy_agent	null	[ "dia" ]	null	null	null	null	null
skills	add_skills	null	[ "dia" ]	null	null	null	null	null
record	start_computer_recording	dia	null	agent	[ "env" ]	null	null	null
task	prompt_agent	null	null	null	[ "skills", "record" ]	In my order flowchart, Documents/order-flow.dia, rename the "Check stock" box to "Verify inventory" and save it.	null	null
check	env_outcome_verifier	dia	null	null	[ "task" ]	null	null	null
end	end_computer_recording	null	null	agent	[ "task" ]	null	null	null
env	deploy_env	dia	null	null	null	null	null	null
null	null	null	null	null	null	In my order flowchart, Documents/order-flow.dia, rename the "Check stock" box to "Verify inventory" and save it.	null	null

Dia: a computer-use environment built from a one-line request

The real Dia 0.98 diagram editor running on an Ubuntu 24.04 desktop, as an agentenv computer environment. An agent completes the task only through screenshots, mouse and keyboard, and a verifier grades the saved files with no model.

Claude Code built this environment from a one-line request in about 22 minutes, with only REA's build skill and MCP tools; How it was made has the request and the steps. Dia opens a small order-processing flowchart, Documents/order-flow.dia, at launch: four boxes, Receive order, Check stock, Pack items and Ship order, joined by lines. The agent has to rename the Check stock box to Verify inventory and save. It sees only the screen and acts only with the mouse and keyboard.

Watch

Agent runs (Claude Code with Claude Sonnet 5.5): run 1, run 2
Witness, which proves the task can be done through the computer: witness.mp4

Each video is the computer's own screen recording at 10 frames per second.

The task

In my order flowchart, Documents/order-flow.dia, rename the "Check stock" box to "Verify inventory" and save it.

bundle/artifacts/rename-stock-box-check/verify.py reads the app's files through the computer's data/get view and passes only if every check holds:

Check	Kind	File
`renamed`	`text_equals`	`Documents/order-flow.dia`
`one-box-named`	`member_count`	`Documents/order-flow.dia`
`four-boxes`	`member_count`	`Documents/order-flow.dia`
`guard-receive`	`text_equals`	`Documents/order-flow.dia`
`guard-pack`	`text_equals`	`Documents/order-flow.dia`
`guard-ship`	`text_equals`	`Documents/order-flow.dia`

A .dia file is XML. The seed is gzip-compressed, as Dia saves a diagram when its "Compress diagram files" preference is ticked, and REA reads the XML inside. Dia writes a box's text between # marks. The checks select the diagram's layer by what it holds, the layer with the Receive order box ([>dia:object=#Receive order#], a selector on a child element's text), then find boxes by their object id: box O1 must read "Verify inventory" exactly, and Receive order, Pack items and Ship order must keep their text. Two member counts complete them: exactly one flowchart box reads Verify inventory, and the layer holds exactly four boxes. REA's draft suggested the text check plus four checks on the box's position and size, which Dia recomputes when the text changes; Claude Code kept the text check, discarded the geometry checks, and added the counts.

Results

2 of 2 runs passed, about $1.75 per run.

Run	Outcome	Turns	Cost	Video
1	passed	39	$1.47	video
2	passed	56	$2.03	video

Run it

You need Docker. agentenv-framework builds the computer: Ubuntu 24.04 with the app installed from Ubuntu's archive (dia 0.98+git20240130).

pip install agentenv-framework==0.9.1431
hf download earakely-scale/DiaFromRequestComputerEnv-REA --repo-type dataset --local-dir dia-request
agent-env run dia-request/bundle --task rename-stock-box --agent claude-code --model <model>

The agent needs a model provider configured for agentenv. --task smoke only boots the computer, with no agent. bundle/README.md describes the bundle in detail.

How it was made

Claude Code built this environment from a one-line request, given only REA's build skill and REA's MCP tools:

Build me a Dia environment where the agent renames a box in a small flowchart and saves it.

It asked only the skill's upfront questions, wrote no app-specific scripts, and finished in about 22 minutes.

The first witness failed at after_edit: Dia adds an empty layer when it reopens a diagram, so after a save the file held two layers and the checks' plain layer step matched both. Claude Code rewrote the checks to select the layer by what it holds, exported again, and the second witness held. The steps were REA's usual ones:

Capture. REA launched Dia on a Linux desktop and recorded its package, windows and opened files while the edit was made. It also recorded the app's state folders before and after.
Export. REA turned the capture into an agentenv computer_app. It installs the app, seeds the starting files, starts the app, and waits for its main window. It also serves typed views of the app's files for verifiers.
Task. The task's checks were validated against the capture: they fail on the starting state and pass on the captured end state.
Witness. In a fresh computer, the edit was made through computer actions alone, and the checks were read at four stages. With the rewritten checks they held:

Stage	Checks
`seed`	fail, as expected: the box reads Check stock; the count and kept-box checks pass
`after_edit`	pass
`near_miss`	fail, as expected: the box was retyped as "Verify inventry"
`after_reset`	fail, as expected: `data/reset` restored the seed

The agent runs came after the build: Claude Code with Claude Sonnet 5.5 (--model anthropic/claude-sonnet-5-5 --no-emulate, on an amd64 host) solved the task twice, each run recorded.

What's inside

bundle/      the agentenv bundle: envs/ (app module, seed files), tasks/, artifacts/ (verifier), evals/
media/       witness and agent-run recordings (MP4) with short GIF previews
results.json the runs above, with each check's result

Limits

Only two runs: the build stopped at its $4 solve budget before a third. Two runs show the task is solvable, not how hard it is.
Dia's window opens small, with most of the flowchart out of view and its title bar under the desktop's top panel, so it can't be maximized from the title bar (Alt+F10 does it). The runs took 39 and 56 turns.
The renamed box is found by its object id, O1. A new box drawn in place of Check stock does not get that id, so it fails even when the chart reads right. The lines between the boxes are not checked.
The computer installs whatever dia Ubuntu 24.04's archive holds at build time (0.98+git20240130 for these runs); it is not pinned.

Licences

The bundle code, the task and the synthetic seed files are Apache-2.0. Dia itself is not included: the computer installs it from Ubuntu's archive (dia 0.98+git20240130) at build time, under its own licence (GPL-2.0-or-later).

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REA Computer-Use Environments

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Real Linux desktop apps as agentenv computer environments built by REA. Agents use screen, mouse and keyboard; files are graded with no model. • 48 items • Updated about 23 hours ago