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Datasets:
santa8232
/
adb-expert-dataset

Tasks:
Text Generation
Question Answering
Languages:
English
Tags:
adb
android
mobile-development
debugging
automation
natural-language-to-code
License:
Dataset card Files
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Dataset Viewer
Duplicate
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: string
log_snippet: string
diagnosis: string
root_cause: string
fix_commands: list<item: string>
  child 0, item: string
prevention: string
category: string
api_level: int64
split: string
reasoning: string
priority: string
recommended_actions: list<item: string>
  child 0, item: string
state: struct<battery_level: int64, temperature: double, cpu_usage: int64, memory_usage: int64, storage_fre (... 80 chars omitted)
  child 0, battery_level: int64
  child 1, temperature: double
  child 2, cpu_usage: int64
  child 3, memory_usage: int64
  child 4, storage_free_mb: int64
  child 5, network_type: string
  child 6, screen_state: string
  child 7, foreground_app: string
to
{'id': Value('string'), 'state': {'battery_level': Value('int64'), 'temperature': Value('float64'), 'cpu_usage': Value('int64'), 'memory_usage': Value('int64'), 'storage_free_mb': Value('int64'), 'network_type': Value('string'), 'screen_state': Value('string'), 'foreground_app': Value('string')}, 'recommended_actions': List(Value('string')), 'reasoning': Value('string'), 'category': Value('string'), 'priority': Value('string'), 'split': 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
              id: string
              log_snippet: string
              diagnosis: string
              root_cause: string
              fix_commands: list<item: string>
                child 0, item: string
              prevention: string
              category: string
              api_level: int64
              split: string
              reasoning: string
              priority: string
              recommended_actions: list<item: string>
                child 0, item: string
              state: struct<battery_level: int64, temperature: double, cpu_usage: int64, memory_usage: int64, storage_fre (... 80 chars omitted)
                child 0, battery_level: int64
                child 1, temperature: double
                child 2, cpu_usage: int64
                child 3, memory_usage: int64
                child 4, storage_free_mb: int64
                child 5, network_type: string
                child 6, screen_state: string
                child 7, foreground_app: string
              to
              {'id': Value('string'), 'state': {'battery_level': Value('int64'), 'temperature': Value('float64'), 'cpu_usage': Value('int64'), 'memory_usage': Value('int64'), 'storage_free_mb': Value('int64'), 'network_type': Value('string'), 'screen_state': Value('string'), 'foreground_app': Value('string')}, 'recommended_actions': List(Value('string')), 'reasoning': Value('string'), 'category': Value('string'), 'priority': Value('string'), 'split': Value('string')}
              because column names don't match

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ADB Expert Dataset

A comprehensive dataset for training and evaluating models on Android Debug Bridge (ADB) expertise tasks. Contains three complementary subtasks covering command generation, device state remediation, and log diagnosis.

Dataset Structure

1. NL -> ADB Command Generation (nl2adb)

100 samples -- Natural language instructions mapped to ADB commands.

Split Count
Train 73
Validation 21
Test 6

Fields:

  • id: Unique identifier
  • instruction: Natural language instruction
  • command: Ground truth ADB command
  • explanation: Human-readable explanation
  • category: Task category (screen_capture, device_management, wireless, app_management, file_transfer, shell_process, logging, system_info, screen_input, permissions, network, setup, debugging, selinux, root)
  • difficulty: easy / medium / hard
  • tags: Relevant tags
  • platform: android / cross-platform
  • requires_root: boolean
  • risk_level: low / medium / high / critical
  • split: train / validation / test

2. Device State -> Actions (device_states)

25 samples -- Device telemetry states with recommended remediation actions.

Split Count
Train 17
Validation 7
Test 1

Fields:

  • id: Unique identifier
  • state: Device telemetry (battery, temperature, cpu, memory, storage, network, screen, foreground_app)
  • recommended_actions: Array of ADB commands to execute
  • reasoning: Explanation for recommendations
  • category: performance_optimization, battery_saving, thermal_management, storage_cleanup, network_troubleshooting, security_audit, kiosk_mode, testing_setup
  • priority: critical / high / medium / low
  • split: train / validation / test

3. Log -> Diagnosis (log_diagnostics)

25 samples -- Android log snippets with diagnosis, root cause, and fix commands.

Split Count
Train 19
Validation 5
Test 1

Fields:

  • id: Unique identifier
  • log_snippet: Android log excerpt
  • diagnosis: High-level issue classification
  • root_cause: Detailed technical root cause
  • fix_commands: Array of ADB commands to resolve
  • prevention: Preventive measures
  • category: crash_analysis, memory_leak, anr_analysis, permission_denied, network_issue, battery_drain, bluetooth_issue, performance_optimization, startup_failure
  • api_level: Android API level (33-34)
  • split: train / validation / test

Usage 

from datasets import load_dataset

# Load full dataset (all splits)
ds = load_dataset("your-username/adb-expert-dataset")

# Load specific split
train_nl2adb = load_dataset("your-username/adb-expert-dataset", data_files="nl2adb_train.jsonl", split="train")
test_logs = load_dataset("your-username/adb-expert-dataset", data_files="log_diagnostics_test.jsonl", split="train")

Evaluation

See eval_predictions.py for zero-dependency evaluation scripts covering:

  • Exact match & semantic equivalence for commands
  • Action coverage & priority-weighted scoring for device states
  • Diagnosis accuracy, root cause match, fix command validity for logs

Statistics

Metric Value
Total Samples 150
Unique ADB Commands 87
Categories Covered 15
Difficulty Levels 3
Android API Levels 33-34

License

MIT License -- free for commercial and research use.

Citation 

@misc{adb-expert-dataset,
  title={ADB Expert Dataset},
  author={Portfolio Project},
  year={2024},
  publisher={Hugging Face},
  url={https://huggingface.co/datasets/your-username/adb-expert-dataset}
}
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