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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
messages: list<item: struct<role: string, content: string>>
  child 0, item: struct<role: string, content: string>
      child 0, role: string
      child 1, content: string
id: string
difficulty: string
is_multi_step: bool
expected_actions: list<item: string>
  child 0, item: string
command: string
intent_type: string
command_en: string
expected_success: bool
target_app: string
to
{'id': Value('string'), 'command': Value('string'), 'command_en': Value('string'), 'intent_type': Value('string'), 'target_app': Value('string'), 'expected_actions': List(Value('string')), 'is_multi_step': Value('bool'), 'difficulty': Value('string'), 'expected_success': Value('bool')}
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(
                         ^^^^^^^^^
                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 478, in safe_iter
                  yield from ds.decode(False) if ds.features else ds
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2815, in __iter__
                  for key, example in ex_iterable:
                                      ^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2352, in __iter__
                  for key, pa_table in self._iter_arrow():
                                       ^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2377, 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 536, in _iter_arrow
                  for key, pa_table in iterator:
                                       ^^^^^^^^
                File "/usr/local/lib/python3.12/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/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 310, 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 130, 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 2369, in table_cast
                  return cast_table_to_schema(table, schema)
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2297, in cast_table_to_schema
                  raise CastError(
              datasets.table.CastError: Couldn't cast
              messages: list<item: struct<role: string, content: string>>
                child 0, item: struct<role: string, content: string>
                    child 0, role: string
                    child 1, content: string
              id: string
              difficulty: string
              is_multi_step: bool
              expected_actions: list<item: string>
                child 0, item: string
              command: string
              intent_type: string
              command_en: string
              expected_success: bool
              target_app: string
              to
              {'id': Value('string'), 'command': Value('string'), 'command_en': Value('string'), 'intent_type': Value('string'), 'target_app': Value('string'), 'expected_actions': List(Value('string')), 'is_multi_step': Value('bool'), 'difficulty': Value('string'), 'expected_success': Value('bool')}
              because column names don't match

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Egyptian Voice Commands Dataset

This repository contains the Egyptian Arabic voice commands dataset used for training and evaluating the EgyptianAgent ASR and NLU models.

Dataset Structure

egyptian_voice_commands/
├── train.jsonl    # Training data (665 examples)
├── eval.jsonl     # Validation data (50 examples)
└── test.jsonl     # Test data (102 examples)

egyptian_ui_navigation/
├── train.jsonl    # Training data (50 examples)
└── test.jsonl     # Test data (20 examples)

Data Format

Egyptian Voice Commands (Function Calling Format)

Each line in the JSONL files follows the conversation format for supervised fine-tuning:

{
  "messages": [
    {
      "role": "system",
      "content": "You are a function calling assistant for Egyptian Arabic voice commands. Call functions based on user requests."
    },
    {
      "role": "user",
      "content": "اتصل بماما"
    },
    {
      "role": "assistant",
      "content": "{\"function\": \"call_contact\", \"arguments\": {\"contact_name\": \"ماما\"}}"
    }
  ]
}

UI Navigation Commands

Each line contains structured metadata for mobile UI automation:

{
  "id": "ui_nav_001",
  "command": "افتح الفيسبوك وشوف الأخبار",
  "command_en": "Open Facebook and check news",
  "intent_type": "ui_navigation",
  "target_app": "com.facebook.katana",
  "expected_actions": ["launch", "tap_news_feed", "scroll"],
  "is_multi_step": true,
  "difficulty": "medium",
  "expected_success": true
}

Dataset Statistics

Dataset Split Count Purpose
Voice Commands Train 665 Model training
Voice Commands Eval 50 Hyperparameter tuning
Voice Commands Test 102 Final evaluation
UI Navigation Train 50 Model training
UI Navigation Test 20 Final evaluation

Intent Categories (Voice Commands)

Intent Description Example
CALL_CONTACT Make a phone call "اتصل بماما"
SEND_WHATSAPP Send WhatsApp message "ابعت واتساب لأحمد"
SET_ALARM Set alarm/reminder "نبهني بكرة الساعة تمانية"
OPEN_APP Open application "افتح اليوتيوب"
DEVICE_CONTROL Control device settings "زود الصوت"
READ_MESSAGES Read notifications "اقرأ الرسائل"
EMERGENCY Emergency call "يا نجدة"

Dialect Variants

  • Cairo - Standard Egyptian Arabic
  • Alexandria - Coastal dialect variations
  • Delta - Lower Egypt variations
  • Upper Egypt - Sa'idi influences

Usage

Loading with Hugging Face Datasets

from datasets import load_dataset

# Load voice commands dataset
dataset = load_dataset("Kandil7/egyptian-voice-commands", data_dir="egyptian_voice_commands")

# Load UI navigation dataset
ui_dataset = load_dataset("Kandil7/egyptian-voice-commands", data_dir="egyptian_ui_navigation")

print(dataset["train"][0])

Loading with Python (JSONL)

import json

def load_dataset(split='train', dataset_type='voice_commands'):
    """Load dataset from JSONL files."""
    data = []
    dir_name = 'egyptian_voice_commands' if dataset_type == 'voice_commands' else 'egyptian_ui_navigation'
    with open(f'{dir_name}/{split}.jsonl', 'r', encoding='utf-8') as f:
        for line in f:
            data.append(json.loads(line))
    return data

# Usage
train_data = load_dataset('train', 'voice_commands')
eval_data = load_dataset('eval', 'voice_commands')
test_data = load_dataset('test', 'voice_commands')

Training with EgyptianAgent

# Finetune FunctionGemma with Egyptian dataset
python scripts/finetune/finetune_functiongemma_egyptian.py \
    --train_data datasets/egyptian_voice_commands/train.jsonl \
    --eval_data datasets/egyptian_voice_commands/eval.jsonl

Evaluation

# Evaluate model accuracy
python scripts/finetune/evaluate_egyptian_accuracy.py \
    --test_data datasets/egyptian_voice_commands/test.jsonl

Related Models

Contributing

To contribute new commands:

  1. Add to appropriate split file
  2. Ensure proper intent classification
  3. Include dialect variant if applicable
  4. Submit pull request

License

Dataset is licensed under MIT License.

Citation

If you use this dataset in your research, please cite:

@dataset{egyptian_voice_commands_2026,
  title = {Egyptian Voice Commands Dataset},
  author = {EgyptianAgent Team},
  year = {2026},
  url = {https://huggingface.co/datasets/Kandil7/egyptian-voice-commands}
}

ملخص بالعربي (Arabic Summary)

هذا المستودع يحتوي على مجموعة بيانات الأوامر الصوتية باللهجة المصرية المستخدمة لتطوير EgyptianAgent - مساعد صوتي للمستخدمين المصريين.

المحتويات:

  • أوامر صوتية (665 تدريب، 50 تحقق، 102 اختبار) - بصيغة محادثات للـ Function Calling
  • تنقل واجهة المستخدم (50 تدريب، 20 اختبار) - لأتمتة التطبيقات على الموبايل

الاستخدام: تطوير نماذج تفهم الأوامر المصرية الطبيعية وتحولها لإجراءات على الهاتف (اتصال، واتساب، منبه، فتح تطبيقات، إلخ).

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