Datasets:

YuvrajSingh9886
/

androidlife-public

Error code:   StreamingRowsError
Exception:    CastError
Message:      Couldn't cast
task_id: string
bucket: string
difficulty: string
points: int64
day: int64
app: string
app_slug: string
apps: list<item: string>
  child 0, item: string
num_apps: int64
cross_app_required: bool
ahi: string
interaction: string
note: string
ask_user_fact: string
is_ask_user: bool
task_number_within_app: int64
task_number_within_dataset_app: int64
prompt_text: string
prompt_template: string
placeholders: list<item: string>
  child 0, item: string
placeholder_count: int64
is_cross_app: bool
cross_app_label: string
source_path: string
intended_ask: struct<design: string, questions: list<item: struct<question: string, expected_answer: string, resol (... 14 chars omitted)
  child 0, design: string
  child 1, questions: list<item: struct<question: string, expected_answer: string, resolves: string>>
      child 0, item: struct<question: string, expected_answer: string, resolves: string>
          child 0, question: string
          child 1, expected_answer: string
          child 2, resolves: string
tasks: list<item: struct<task_id: string, bucket: string, difficulty: string, points: int64, day: int64, ap (... 560 chars omitted)
  child 0, item: struct<task_id: string, bucket: string, difficulty: string, points: int64, day: int64, app: string,  (... 548 chars omitted)
      child 0, task_id: string
      child 1, bucket: string
      child 2, difficulty: string
      child 3, points: int64
      child 4, day: int64
      child 5, app: string
      child 6, app_slug: string
      child 7, apps: list<item: string>
          child 0, item: string
      child 8, num_apps: int64
      child 9, cross_app_required: bool
      child 10, ahi: string
      child 11, interaction: string
      child 12, note: string
      child 13, ask_user_fact: string
      child 14, is_ask_user: bool
      child 15, task_number_within_app: int64
      child 16, task_number_within_dataset_app: int64
      child 17, prompt_text: string
      child 18, prompt_template: string
      child 19, placeholders: list<item: string>
          child 0, item: string
      child 20, placeholder_count: int64
      child 21, is_cross_app: bool
      child 22, cross_app_label: string
      child 23, source_path: string
      child 24, intended_ask: struct<design: string, questions: list<item: struct<question: string, expected_answer: string, resol (... 14 chars omitted)
          child 0, design: string
          child 1, questions: list<item: struct<question: string, expected_answer: string, resolves: string>>
              child 0, item: struct<question: string, expected_answer: string, resolves: string>
                  child 0, question: string
                  child 1, expected_answer: string
                  child 2, resolves: string
bucket_counts: struct<hard: int64, medium: int64, easy: int64>
  child 0, hard: int64
  child 1, medium: int64
  child 2, easy: int64
task_count: int64
dataset_name: string
dataset_version: string
to
{'dataset_name': Value('string'), 'dataset_version': Value('string'), 'source_path': Value('string'), 'task_count': Value('int64'), 'bucket_counts': {'hard': Value('int64'), 'medium': Value('int64'), 'easy': Value('int64')}, 'tasks': List({'task_id': Value('string'), 'bucket': Value('string'), 'difficulty': Value('string'), 'points': Value('int64'), 'day': Value('int64'), 'app': Value('string'), 'app_slug': Value('string'), 'apps': List(Value('string')), 'num_apps': Value('int64'), 'cross_app_required': Value('bool'), 'ahi': Value('string'), 'interaction': Value('string'), 'note': Value('string'), 'ask_user_fact': Value('string'), 'is_ask_user': Value('bool'), 'task_number_within_app': Value('int64'), 'task_number_within_dataset_app': Value('int64'), 'prompt_text': Value('string'), 'prompt_template': Value('string'), 'placeholders': List(Value('string')), 'placeholder_count': Value('int64'), 'is_cross_app': Value('bool'), 'cross_app_label': Value('string'), 'source_path': Value('string'), 'intended_ask': {'design': Value('string'), 'questions': List({'question': Value('string'), 'expected_answer': Value('string'), 'resolves': Value('string')})}})}
because column names don't match
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/utils.py", line 147, in get_rows_or_raise
                  return get_rows(
                      dataset=dataset,
                  ...<4 lines>...
                      column_names=column_names,
                  )
                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 127, in get_rows
                  rows_plus_one = list(itertools.islice(safe_iter(ds, dataset=dataset), rows_max_number + 1))
                File "/src/services/worker/src/worker/utils.py", line 483, in safe_iter
                  yield from ds.decode(False) if ds.features else ds
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2840, in __iter__
                  for key, example in ex_iterable:
                                      ^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2373, in __iter__
                  for key, pa_table in self._iter_arrow():
                                       ~~~~~~~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2398, in _iter_arrow
                  for key, pa_table in 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 343, in _generate_tables
                  self._cast_table(pa_table, json_field_paths=json_field_paths),
                  ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 132, in _cast_table
                  pa_table = table_cast(pa_table, self.info.features.arrow_schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2378, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2306, in cast_table_to_schema
                  raise CastError(
                  ...<3 lines>...
                  )
              datasets.table.CastError: Couldn't cast
              task_id: string
              bucket: string
              difficulty: string
              points: int64
              day: int64
              app: string
              app_slug: string
              apps: list<item: string>
                child 0, item: string
              num_apps: int64
              cross_app_required: bool
              ahi: string
              interaction: string
              note: string
              ask_user_fact: string
              is_ask_user: bool
              task_number_within_app: int64
              task_number_within_dataset_app: int64
              prompt_text: string
              prompt_template: string
              placeholders: list<item: string>
                child 0, item: string
              placeholder_count: int64
              is_cross_app: bool
              cross_app_label: string
              source_path: string
              intended_ask: struct<design: string, questions: list<item: struct<question: string, expected_answer: string, resol (... 14 chars omitted)
                child 0, design: string
                child 1, questions: list<item: struct<question: string, expected_answer: string, resolves: string>>
                    child 0, item: struct<question: string, expected_answer: string, resolves: string>
                        child 0, question: string
                        child 1, expected_answer: string
                        child 2, resolves: string
              tasks: list<item: struct<task_id: string, bucket: string, difficulty: string, points: int64, day: int64, ap (... 560 chars omitted)
                child 0, item: struct<task_id: string, bucket: string, difficulty: string, points: int64, day: int64, app: string,  (... 548 chars omitted)
                    child 0, task_id: string
                    child 1, bucket: string
                    child 2, difficulty: string
                    child 3, points: int64
                    child 4, day: int64
                    child 5, app: string
                    child 6, app_slug: string
                    child 7, apps: list<item: string>
                        child 0, item: string
                    child 8, num_apps: int64
                    child 9, cross_app_required: bool
                    child 10, ahi: string
                    child 11, interaction: string
                    child 12, note: string
                    child 13, ask_user_fact: string
                    child 14, is_ask_user: bool
                    child 15, task_number_within_app: int64
                    child 16, task_number_within_dataset_app: int64
                    child 17, prompt_text: string
                    child 18, prompt_template: string
                    child 19, placeholders: list<item: string>
                        child 0, item: string
                    child 20, placeholder_count: int64
                    child 21, is_cross_app: bool
                    child 22, cross_app_label: string
                    child 23, source_path: string
                    child 24, intended_ask: struct<design: string, questions: list<item: struct<question: string, expected_answer: string, resol (... 14 chars omitted)
                        child 0, design: string
                        child 1, questions: list<item: struct<question: string, expected_answer: string, resolves: string>>
                            child 0, item: struct<question: string, expected_answer: string, resolves: string>
                                child 0, question: string
                                child 1, expected_answer: string
                                child 2, resolves: string
              bucket_counts: struct<hard: int64, medium: int64, easy: int64>
                child 0, hard: int64
                child 1, medium: int64
                child 2, easy: int64
              task_count: int64
              dataset_name: string
              dataset_version: string
              to
              {'dataset_name': Value('string'), 'dataset_version': Value('string'), 'source_path': Value('string'), 'task_count': Value('int64'), 'bucket_counts': {'hard': Value('int64'), 'medium': Value('int64'), 'easy': Value('int64')}, 'tasks': List({'task_id': Value('string'), 'bucket': Value('string'), 'difficulty': Value('string'), 'points': Value('int64'), 'day': Value('int64'), 'app': Value('string'), 'app_slug': Value('string'), 'apps': List(Value('string')), 'num_apps': Value('int64'), 'cross_app_required': Value('bool'), 'ahi': Value('string'), 'interaction': Value('string'), 'note': Value('string'), 'ask_user_fact': Value('string'), 'is_ask_user': Value('bool'), 'task_number_within_app': Value('int64'), 'task_number_within_dataset_app': Value('int64'), 'prompt_text': Value('string'), 'prompt_template': Value('string'), 'placeholders': List(Value('string')), 'placeholder_count': Value('int64'), 'is_cross_app': Value('bool'), 'cross_app_label': Value('string'), 'source_path': Value('string'), 'intended_ask': {'design': Value('string'), 'questions': List({'question': Value('string'), 'expected_answer': Value('string'), 'resolves': Value('string')})}})}
              because column names don't match

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DailyBench-500 — Public run trajectories

Full per-task execution artifacts (agent logs, LLM proxy metrics, ADB preflight/postflight, telemetry, trajectories with UI states + screenshots) from the public DailyBench-500 runs against a real Android device (OnePlus CPH2423) via ADB/mobilerun and real LLMs on OpenRouter.

The task corpus itself is published separately as YuvrajSingh9886/drainbench-530 and the 61-task public sample as YuvrajSingh9886/dailybench-public-sample. This repo contains the full per-run artifacts for full disclosure:

runs/<run_id>/ — raw execution artifacts (agent logs, LLM proxy metrics, telemetry, per-step GUI evidence, trajectories).
reports/public/ — per-run narrative reports (manual audit, verdicts, on-device verification, privacy scan).
reports/metrics/public/ — per-run official metrics (.json/.md) + manual-audit notes (harness self-report is reference; manual audit is ground truth).
reports/metrics/hallucination/public/ — per-run full-context agent-log hallucination-control judge outputs (with token/cost telemetry) + README.
reports/turn-based/public/ — per-turn ASK USER audits (question → answer).

Runs

Each runs/<run_id>/ folder is one full benchmark run (60 tasks = 20/day × 3 days, unless noted). Per-task folder layout:

File	Content
`agent.log.txt`	Full agent step log (mobilerun FastAgent).
`output.json` / `output.txt`	Graded outcome (success + reason) and final answer.
`meta.json`	Run metadata (task_id, model, command, exit code).
`preflight.json` / `postflight.json`	Device pre/post checks.
`llm_proxy_metrics.jsonl`	Per-LLM-call tokens + cost.
`ask_user_metrics.jsonl`	ask_user tool calls (ASK USER tasks).
`samples.ndjson`	Battery/thermal sampling during the task.
`trajectories/<ts>/`	`macro.json`, `trajectory.json`, `ui_states/`, `screenshots/` — per-step GUI evidence.
`kb_audit.json` (run root)	Manual multi-turn KB audit (KBIQ) where performed.

Run index (self-reported harness outcome; manual audit is ground truth)

Run ID	Model (OpenRouter)	Tasks	Pass
20260826-105200	google/gemini-3.1-flash-lite	60	42
2026-08-26-184934	qwen/qwen3.8-27b	60	25
2026-08-28-002424	qwen/qwen3.8-27b	60	33
2026-08-29-153657	moonshotai/kimi-k2.6	60	31
2026-08-30-021852	moonshotai/kimi-k2.6	35	5
2026-08-30-143554	bytedance-seed/seed-2.0-lite (text)	60	42
20260901-002701	xiaomi/mimo-v2.5-pro (text)	60	30
20260905-051950	bytedance-seed/seed-2.0-lite (vision)	60	39

Important: the Pass column is the harness self-report. The project's grading convention treats manual audit as ground truth (see the 530 corpus README + evaluation policy). Some harness "passes" are false passes, and some honest failures (hallucination-control tasks) are intended passes. Do not treat this table as the final score.

Fabricated test data — disclosure

All on-device data is fabricated: a fictional persona ("Yuvraj Singh") with fake contacts, fake bank/finance SMS (e.g. HDFC "Sent Rs.130.00 Ref ..."), fake OTPs, fake calendar/notes/docs, and fabricated PDFs (Invoice, Rent Receipt). Any phone numbers, emails, bank refs, or identity details visible in the trajectories are synthetic benchmark seeds, not real personal data. Full disclosure: see the fabrication/ disclosure in the corpus repo.

License

MIT. The trajectory content is derived from the fabricated benchmark seeds and is safe to reproduce.

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