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The dataset generation failed
Error code:   DatasetGenerationError
Exception:    ArrowTypeError
Message:      ("Expected bytes, got a 'list' object", 'Conversion failed for column doc-eae0c0e5126fea8da6a6cedb884a28ff with type object')
Traceback:    Traceback (most recent call last):
                File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 160, in _generate_tables
                  pa_table = paj.read_json(
                             ^^^^^^^^^^^^^^
                File "pyarrow/_json.pyx", line 342, in pyarrow._json.read_json
                File "pyarrow/error.pxi", line 155, in pyarrow.lib.pyarrow_internal_check_status
                File "pyarrow/error.pxi", line 92, in pyarrow.lib.check_status
              pyarrow.lib.ArrowInvalid: JSON parse error: Column() changed from object to string in row 0
              
              During handling of the above exception, another exception occurred:
              
              Traceback (most recent call last):
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1869, in _prepare_split_single
                  for key, table in generator:
                                    ^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 190, in _generate_tables
                  pa_table = pa.Table.from_pandas(df, preserve_index=False)
                             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "pyarrow/table.pxi", line 4795, in pyarrow.lib.Table.from_pandas
                File "/usr/local/lib/python3.12/site-packages/pyarrow/pandas_compat.py", line 637, in dataframe_to_arrays
                  arrays = [convert_column(c, f)
                            ^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/pyarrow/pandas_compat.py", line 625, in convert_column
                  raise e
                File "/usr/local/lib/python3.12/site-packages/pyarrow/pandas_compat.py", line 619, in convert_column
                  result = pa.array(col, type=type_, from_pandas=True, safe=safe)
                           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "pyarrow/array.pxi", line 365, in pyarrow.lib.array
                File "pyarrow/array.pxi", line 91, in pyarrow.lib._ndarray_to_array
                File "pyarrow/error.pxi", line 92, in pyarrow.lib.check_status
              pyarrow.lib.ArrowTypeError: ("Expected bytes, got a 'list' object", 'Conversion failed for column doc-eae0c0e5126fea8da6a6cedb884a28ff with type object')
              
              The above exception was the direct cause of the following exception:
              
              Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1347, in compute_config_parquet_and_info_response
                  parquet_operations = convert_to_parquet(builder)
                                       ^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 980, in convert_to_parquet
                  builder.download_and_prepare(
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 884, in download_and_prepare
                  self._download_and_prepare(
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 947, in _download_and_prepare
                  self._prepare_split(split_generator, **prepare_split_kwargs)
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1736, in _prepare_split
                  for job_id, done, content in self._prepare_split_single(
                                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1919, in _prepare_split_single
                  raise DatasetGenerationError("An error occurred while generating the dataset") from e
              datasets.exceptions.DatasetGenerationError: An error occurred while generating the dataset

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3GPP Rel-19 Telecom Knowledge Graph (KG + Chunks)

Dataset Summary

This dataset, developed by Khalifa University Research Institute for Digital Future (KU-DF), contains a large-scale telecom-domain knowledge graph built from 3GPP Release 19 specifications, together with the underlying text chunks used for extraction and grounding.

It supports research and development in:

  • Telecom and networking
  • Knowledge graphs
  • LLM-based reasoning over standards
  • Retrieval-Augmented Generation (RAG)

Dataset Structure

The dataset includes three main components:

  • Knowledge Graph (graphml):

    • Nodes: telecom entities (concepts, parameters, identifiers, protocols, references)
    • Edges: semantic relations with provenance
  • Text Chunks (jsonl):

    • Fine-grained chunks extracted from 3GPP specifications
    • Used as grounding for KG nodes and edges
  • Entity Mapping (json):

    • Maps entities to chunk IDs and source files

Data Statistics

  • Nodes: 21,540
  • Edges: 31,718
  • Unique entities: 6,044
  • Text chunks: 896,453

Data Cleaning

Cleaning was limited to structural normalization:

  • Removal of NULL-only or empty identifiers
  • Removal of isolated nodes with no semantic content
  • Exact duplicate node and edge removal
  • No semantic pruning of telecom concepts

Intended Uses

  • Telecom standards analysis
  • Knowledge graph analytics
  • LLM-assisted exploration of 3GPP specifications
  • RAG systems for telecom documentation
  • Research on information extraction from standards

Limitations

  • The dataset is limited to 3GPP Release 19
  • Some entities may lack textual descriptions and are intended for later enrichment

License

This dataset is released under the Creative Commons Attribution–NonCommercial 4.0 International (CC BY-NC 4.0) license.

The dataset is derived from publicly available 3GPP specifications.
Users must provide appropriate attribution and may not use the dataset for commercial purposes.

Additional Information

For full details on construction and usage, see the accompanying README.md.

Acknowledgement

Compute resources for building and experimenting with the knowledge graph were provided by the ITU AI for Good AWS Sandbox.


Citation

If you use this dataset, please cite the dataset repository

@dataset{kudf_rel19_telecom_kg_2026,
  title     = {3GPP Release 19 Telecom Knowledge Graph},
  author    = {Yang, Yuzhi and Bariah, Lina and Lu, Yuhuan and Debbah, Merouane},
  year      = {2026},
  publisher = {Hugging Face},
  organization = {Khalifa University Research Institute for Digital Future (KU-DF)},
  abstract  = {A large-scale telecom knowledge graph constructed from 3GPP Release 19 specifications, together with text chunks for grounding, provenance, and retrieval-augmented generation (RAG).},
  url       = {https://huggingface.co/datasets/otellm/telecom-kg-rel19},
  note      = {Part of the GSMA Open Telco Assets Initiative.}
}



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