The dataset viewer is not available for this split.
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 matchNeed help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
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
- FunctionGemma-270M Egyptian (LoRA):
Kandil7/functiongemma-270m-egyptian-mobile-action - Merged Model:
Kandil7/functiongemma-270m-egyptian-mobile-action-merged
Contributing
To contribute new commands:
- Add to appropriate split file
- Ensure proper intent classification
- Include dialect variant if applicable
- 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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