Dataset Viewer
The dataset viewer is not available for this split.
Cannot extract the features (columns) for the split 'train' of the config 'default' of the dataset.
Error code:   FeaturesError
Exception:    ArrowInvalid
Message:      JSON parse error: Column() changed from object to string in row 0
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/packaged_modules/json/json.py", line 174, in _generate_tables
                  df = pandas_read_json(f)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/packaged_modules/json/json.py", line 38, in pandas_read_json
                  return pd.read_json(path_or_buf, **kwargs)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/pandas/io/json/_json.py", line 815, in read_json
                  return json_reader.read()
                File "/src/services/worker/.venv/lib/python3.9/site-packages/pandas/io/json/_json.py", line 1025, in read
                  obj = self._get_object_parser(self.data)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/pandas/io/json/_json.py", line 1051, in _get_object_parser
                  obj = FrameParser(json, **kwargs).parse()
                File "/src/services/worker/.venv/lib/python3.9/site-packages/pandas/io/json/_json.py", line 1187, in parse
                  self._parse()
                File "/src/services/worker/.venv/lib/python3.9/site-packages/pandas/io/json/_json.py", line 1402, in _parse
                  self.obj = DataFrame(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/pandas/core/frame.py", line 778, in __init__
                  mgr = dict_to_mgr(data, index, columns, dtype=dtype, copy=copy, typ=manager)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/pandas/core/internals/construction.py", line 503, in dict_to_mgr
                  return arrays_to_mgr(arrays, columns, index, dtype=dtype, typ=typ, consolidate=copy)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/pandas/core/internals/construction.py", line 114, in arrays_to_mgr
                  index = _extract_index(arrays)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/pandas/core/internals/construction.py", line 680, in _extract_index
                  raise ValueError(
              ValueError: Mixing dicts with non-Series may lead to ambiguous ordering.
              
              During handling of the above exception, another exception occurred:
              
              Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/split/first_rows.py", line 228, in compute_first_rows_from_streaming_response
                  iterable_dataset = iterable_dataset._resolve_features()
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 3422, in _resolve_features
                  features = _infer_features_from_batch(self.with_format(None)._head())
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 2187, in _head
                  return next(iter(self.iter(batch_size=n)))
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 2391, in iter
                  for key, example in iterator:
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 1882, in __iter__
                  for key, pa_table in self._iter_arrow():
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 1904, in _iter_arrow
                  yield from self.ex_iterable._iter_arrow()
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 499, in _iter_arrow
                  for key, pa_table in iterator:
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 346, in _iter_arrow
                  for key, pa_table in self.generate_tables_fn(**gen_kwags):
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/packaged_modules/json/json.py", line 177, in _generate_tables
                  raise e
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/packaged_modules/json/json.py", line 151, in _generate_tables
                  pa_table = paj.read_json(
                File "pyarrow/_json.pyx", line 308, in pyarrow._json.read_json
                File "pyarrow/error.pxi", line 154, in pyarrow.lib.pyarrow_internal_check_status
                File "pyarrow/error.pxi", line 91, in pyarrow.lib.check_status
              pyarrow.lib.ArrowInvalid: JSON parse error: Column() changed from object to string in row 0

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Bangladesh Legal Acts Dataset

A comprehensive database of Bangladesh's legal framework, containing 1484+ acts scraped and processed from the official Bangladesh Laws portal, enhanced with historical government context, legal system context, and comprehensive metadata.

Dataset Overview

  • Total Acts: 1,484
  • Total Sections: 35,633
  • Total Footnotes: 14,523
  • Languages: English, Bengali, Mixed
  • Format: JSON with structured metadata
  • Historical Context: Government periods from 1799-2025
  • Legal System Context: Comprehensive legal framework information
  • Enhanced Features: Token counts, year standardization, processing metadata
  • License: CC-BY 4.0

Citation

If you use this dataset in your research or project, please cite it as:

@misc{adib_sakhawat_2025,
  title     = {Bangladesh Legal Acts Dataset},
  url       = {https://www.kaggle.com/dsv/12511542},
  DOI       = {10.34740/KAGGLE/DSV/12511542},
  publisher = {Kaggle},
  author    = {Adib Sakhawat},
  year      = {2025}
}

Data Processing Pipeline

The dataset has been enhanced through multiple processing stages:

  1. Initial Scraping: Raw legal acts data collection
  2. Content Cleaning: Text processing and structuring
  3. Detailed Fetching: Section-by-section content extraction
  4. Data Combination: Merging structured data
  5. Enhancement: Token counting and language detection
  6. Government Context Integration: Historical government information
  7. Legal System Context Addition: Legal framework contextualization
  8. Year Translation: Bengali to English numeral conversion
  9. Error Recovery: Missing context restoration
  10. Token Count Correction: Accurate tokenization across all fields
  11. Final Compilation: Comprehensive dataset creation

Individual Act Structure (Enhanced)

{
  "act_title": "The Penal Code, 1860",
  "act_no": "XLV",
  "act_year": "1860",
  "publication_date": "6th October, 1860",
  "language": "english",
  "token_count": 15420,
  "is_repealed": false,
  "sections": [
    {
      "section_title": "Chapter I - Introduction",
      "section_content": "This Act may be called the Penal Code..."
    }
  ],
  "footnotes": [
    {
      "footnote_text": "Extended to Bangladesh by..."
    }
  ],
  "csv_metadata": {
    "act_title_from_csv": "The Penal Code, 1860",
    "is_repealed": false
  },
  "government_context": {
    "government_name": "British Colonial Government",
    "govt_system": "Company Rule",
    "position_head_govt": "Governor-General of India",
    "head_govt_name": "Lord Canning (Charles Canning)",
    "head_govt_designation": "Governor-General of India",
    "how_got_power": "Company appointment",
    "period_years": "1856-1862",
    "years_in_power": 6,
    "context_added_at": "2025-07-19T..."
  },
  "legal_system_context": {
    "legal_framework": "British Colonial Legal System",
    "government_system": "Colonial Administration",
    "policing_system": "Imperial Police System",
    "land_relations": "Colonial Land Revenue System",
    "period": "1858-1947",
    "description": "British Crown rule with colonial administrative framework",
    "context_added_at": "2025-07-19T..."
  },
  "processing_info": {
    "government_context_source": "govt.json lookup",
    "legal_context_source": "bangladesh_legal_systems.json",
    "year_translation": "Original year retained",
    "token_count_method": "Comprehensive field tokenization",
    "last_updated": "2025-07-19T..."
  },
  "source_file": "act-print-11.json",
  "source_url": "http://bdlaws.minlaw.gov.bd/act-print-11.html",
  "fetch_timestamp": "2025-07-19 02:45:32"
}

πŸ” Data Features

Enhanced Processing

  • Missing Data Recovery: Automatically fills gaps using CSV metadata
  • Token Counting: Word-level tokenization for all text content including context fields
  • Language Detection: Automatic detection of English/Bengali/Mixed content
  • Historical Government Context: Matches each act with the government system and leadership at the time of enactment
  • Legal System Context: Comprehensive legal framework information for each historical period
  • Year Standardization: Bengali to English numeral translation
  • Error Recovery: Automated recovery for files with missing contexts
  • Metadata Preservation: Maintains source URLs and timestamps

Quality Assurance

  • Error Handling: Robust error logging and recovery mechanisms
  • Data Validation: Automatic validation of combined datasets
  • Progress Tracking: Real-time processing progress with tqdm
  • Statistics: Comprehensive processing statistics and distribution analysis
  • Batch Processing: Memory-efficient chunked processing
  • Comprehensive Logging: Detailed logs for all processing stages

Government Context Features

  • Historical Periods: Covers government systems from 1799-2025
  • Leadership Information: Includes head of government names and designations
  • Power Transitions: Documents how each government came to power
  • System Classification: Categorizes different government types (Company Rule, Colonial, Democratic, Military, etc.)
  • Temporal Mapping: Precise year-based matching of acts to government periods

Legal System Context Features

  • Legal Framework Classification: Comprehensive categorization of legal systems
  • Government System Integration: Links legal framework to government structure
  • Policing System Context: Historical policing and law enforcement information
  • Land Relations Framework: Land ownership and revenue system context
  • Temporal Coverage: Complete coverage across all historical periods
  • Contextual Descriptions: Detailed explanations of each legal system period

πŸ“ˆ Dataset Statistics

Metric Value
Total Legal Documents 1,484
Date Range 1799 - 2025
Languages English, Bengali, Mixed
Total Sections 35,633
Total Footnotes 14,523
Government Periods Covered 50+ historical periods
Legal System Periods 12+ distinct legal frameworks
Government Systems Company Rule, Colonial, Military, Democratic, etc.
Average Tokens per Act ~2,884
Total Dataset Tokens 2,500,000+
Processing Scripts 10+ specialized processing tools
Processing Time ~30 minutes (complete pipeline)

πŸ› οΈ Technical Details

Scraping Process

  • Respectful scraping: 300ms delays between requests
  • Error resilience: Continues processing despite individual failures
  • Memory optimization: Batch processing for large datasets
  • Rate limiting: Prevents server overload

Data Processing

  • Batch optimization: Processes 50-100 items per batch
  • Memory efficiency: Streaming JSON writing for large files
  • Unicode support: Full Bengali/English text support
  • Incremental processing: Skip already processed files
  • Chunked processing: Optimized memory usage for large datasets
  • Government context fusion: Efficient lookup-based government matching
  • Legal context integration: Temporal period matching algorithms
  • Token counting: Regex-based comprehensive tokenization
  • Error recovery: Automated detection and correction of processing errors

Processing Pipeline Features

  • Modular Design: Each processing stage is independent and reusable
  • Progress Tracking: Real-time progress bars and statistics
  • Comprehensive Logging: File and console logging for all operations
  • Memory Management: Garbage collection and chunked processing
  • Error Resilience: Continues processing despite individual file failures
  • Statistics Generation: Detailed processing and content statistics

Historical Government Context

The dataset includes comprehensive historical government context for each legal act, covering:

Government Systems Covered

  • Company Rule (1799-1858): East India Company administration
  • British Colonial Rule (1858-1947): Direct British Crown rule
  • Pakistan Period (1947-1971): Dominion and Republic of Pakistan
  • Bangladesh Independence (1971-present): Various democratic and military governments

Context Information

  • Government system type and duration
  • Head of government name and official designation
  • Method of acquiring power (election, appointment, coup, etc.)
  • Exact period years for historical accuracy

This historical context enables researchers to:

  • Analyze legal evolution across different political systems
  • Study the impact of government changes on legislation
  • Understand the political circumstances surrounding specific laws
  • Conduct temporal analysis of legal frameworks

Contributing

  1. Fork the repository
  2. Create a feature branch (git checkout -b feature/amazing-feature)
  3. Commit your changes (git commit -m 'Add amazing feature')
  4. Push to the branch (git push origin feature/amazing-feature)
  5. Open a Pull Request

Legal Notice

This dataset contains legal documents from the Bangladesh government. While the data is publicly available, please:

  • Verify accuracy for legal purposes
  • Check for updates on the official portal
  • Respect the original source attribution

License

This work is licensed under CC-BY 4.0.

You are free to:

  • Share and redistribute
  • Adapt and transform
  • Use commercially

With attribution to this repository.

Related Links

Contact

For questions about this dataset, please open an issue in this repository.


Disclaimer: This is an unofficial compilation. For legal purposes, always refer to the official Bangladesh Laws portal.


license: cc-by-4.0

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