The full dataset viewer is not available (click to read why). Only showing a preview of the rows.
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 datasetNeed help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
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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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