The dataset viewer is not available for this split.
Error code: FeaturesError
Exception: ArrowInvalid
Message: Schema at index 1 was different:
Aerospace Engineering: struct<category_abbrev: string, subcategories: list<item: struct<subcategory: string, subcategory_abbrev: string, sample_course_id: string>>>
Architecture: struct<category_abbrev: string, subcategories: list<item: struct<subcategory: string, subcategory_abbrev: string, sample_course_id: string>>>
Artificial Intelligence: struct<category_abbrev: string, subcategories: list<item: struct<subcategory: string, subcategory_abbrev: string, sample_course_id: string>>>
Automobile Engineering: struct<category_abbrev: string, subcategories: list<item: struct<subcategory: string, subcategory_abbrev: string, sample_course_id: string>>>
Biology & Life Sciences: struct<category_abbrev: string, subcategories: list<item: struct<subcategory: string, subcategory_abbrev: string, sample_course_id: string>>>
Biomedical & Health Tech: struct<category_abbrev: string, subcategories: list<item: struct<subcategory: string, subcategory_abbrev: string, sample_course_id: string>>>
Business & Management: struct<category_abbrev: string, subcategories: list<item: struct<subcategory: string, subcategory_abbrev: string, sample_course_id: string>>>
Chemical Engineering: struct<category_abbrev: string, subcategories: list<item: struct<subcategory: string, subcategory_abbrev: string, sample_course_id: string>>>
Chemistry: struct<category_abbrev: string, subcategories: list<item: struct<subcategory: string, subcategory_abbrev: string, sample_course_id: string>>>
Civil Engineering: struct<category_abbrev: string, subcategories: list<item: struct<subcategory: string, subcategory_abbrev: string, sample_course_id: string>>>
Commerce & Accounting: struct<category_abbrev: string, subcategories: list<item: struct<subcategory: string, subcategory_abbrev: string, sample_course_id: string>>>
Computer Science & IT: struct<category_abbrev: string, subcategories: list<item: struct<subcategory: string, subcategory_abbrev: string, sample_course_id: string>>>
Creative Arts, Media & Communication: struct<category_abbrev: string, subcategories: list<item: struct<subcategory: string, subcategory_abbrev: string, sample_course_id: string>>>
Criminology & Forensic Science: struct<category_abbrev: string, subcategories: list<item: struct<subcategory: string, subcategory_abbrev: string, sample_course_id: string>>>
Cybersecurity: struct<category_abbrev: string, subcategories: list<item: struct<subcategory: string, subcategory_abbrev: string, sample_course_id: string>>>
Data Science & Analytics: struct<category_abbrev: string, subcategories: list<item: struct<subcategory: string, subcategory_abbrev: string, sample_course_id: string>>>
Defense & Strategic Studies: struct<category_abbrev: string, subcategories: list<item: struct<subcategory: string, subcategory_abbrev: string, sample_course_id: string>>>
Dentistry & Oral Health: struct<category_abbrev: string, subcategories: list<item: struct<subcategory: string, subcategory_abbrev: string, sample_course_id: string>>>
Earth & Environmental Sciences: struct<category_abbrev: string, subcategories: list<item: struct<subcategory: string, subcategory_abbrev: string, sample_course_id: string>>>
Economics & Public Policy: struct<category_abbrev: string, subcategories: list<item: struct<subcategory: string, subcategory_abbrev: string, sample_course_id: string>>>
Education & EdTech: struct<category_abbrev: string, subcategories: list<item: struct<subcategory: string, subcategory_abbrev: string, sample_course_id: string>>>
Electric Vehicles & E-Mobility: struct<category_abbrev: string, subcategories: list<item: struct<subcategory: string, subcategory_abbrev: string, sample_course_id: string>>>
Electrical, Power & Energy: struct<category_abbrev: string, subcategories: list<item: struct<subcategory: string, subcategory_abbrev: string, sample_course_id: string>>>
Electronics, Robotics & IoT: struct<category_abbrev: string, subcategories: list<item: struct<subcategory: string, subcategory_abbrev: string, sample_course_id: string>>>
Energy & Sustainability: struct<category_abbrev: string, subcategories: list<item: struct<subcategory: string, subcategory_abbrev: string, sample_course_id: string>>>
Entrepreneurship & Innovation: struct<category_abbrev: string, subcategories: list<item: struct<subcategory: string, subcategory_abbrev: string, sample_course_id: string>>>
Finance, Banking & FinTech: struct<category_abbrev: string, subcategories: list<item: struct<subcategory: string, subcategory_abbrev: string, sample_course_id: string>>>
Hospitality, Tourism & Events: struct<category_abbrev: string, subcategories: list<item: struct<subcategory: string, subcategory_abbrev: string, sample_course_id: string>>>
Interdisciplinary Studies: struct<category_abbrev: string, subcategories: list<item: struct<subcategory: string, subcategory_abbrev: string, sample_course_id: string>>>
Languages & Literature: struct<category_abbrev: string, subcategories: list<item: struct<subcategory: string, subcategory_abbrev: string, sample_course_id: string>>>
Law & Governance: struct<category_abbrev: string, subcategories: list<item: struct<subcategory: string, subcategory_abbrev: string, sample_course_id: string>>>
Marine Engineering: struct<category_abbrev: string, subcategories: list<item: struct<subcategory: string, subcategory_abbrev: string, sample_course_id: string>>>
Marketing, Sales & CX: struct<category_abbrev: string, subcategories: list<item: struct<subcategory: string, subcategory_abbrev: string, sample_course_id: string>>>
Materials Science & Processes: struct<category_abbrev: string, subcategories: list<item: struct<subcategory: string, subcategory_abbrev: string, sample_course_id: string>>>
Mathematics: struct<category_abbrev: string, subcategories: list<item: struct<subcategory: string, subcategory_abbrev: string, sample_course_id: string>>>
Mechanical Engineering: struct<category_abbrev: string, subcategories: list<item: struct<subcategory: string, subcategory_abbrev: string, sample_course_id: string>>>
Medicine & Clinical: struct<category_abbrev: string, subcategories: list<item: struct<subcategory: string, subcategory_abbrev: string, sample_course_id: string>>>
Mining Engineering: struct<category_abbrev: string, subcategories: list<item: struct<subcategory: string, subcategory_abbrev: string, sample_course_id: string>>>
Nursing & Allied Health: struct<category_abbrev: string, subcategories: list<item: struct<subcategory: string, subcategory_abbrev: string, sample_course_id: string>>>
Operations, SCM & Logistics: struct<category_abbrev: string, subcategories: list<item: struct<subcategory: string, subcategory_abbrev: string, sample_course_id: string>>>
Personal & Professional Skills: struct<category_abbrev: string, subcategories: list<item: struct<subcategory: string, subcategory_abbrev: string, sample_course_id: string>>>
Petroleum Engineering: struct<category_abbrev: string, subcategories: list<item: struct<subcategory: string, subcategory_abbrev: string, sample_course_id: string>>>
Pharmacy & Pharmaceutical Sciences: struct<category_abbrev: string, subcategories: list<item: struct<subcategory: string, subcategory_abbrev: string, sample_course_id: string>>>
Physics: struct<category_abbrev: string, subcategories: list<item: struct<subcategory: string, subcategory_abbrev: string, sample_course_id: string>>>
Public & Community Health: struct<category_abbrev: string, subcategories: list<item: struct<subcategory: string, subcategory_abbrev: string, sample_course_id: string>>>
Science: struct<category_abbrev: string, subcategories: list<item: struct<subcategory: string, subcategory_abbrev: string, sample_course_id: string>>>
Social Sciences & Humanities: struct<category_abbrev: string, subcategories: list<item: struct<subcategory: string, subcategory_abbrev: string, sample_course_id: string>>>
Soft Skills: struct<category_abbrev: string, subcategories: list<item: struct<subcategory: string, subcategory_abbrev: string, sample_course_id: string>>>
Sports, Fitness & Wellness: struct<category_abbrev: string, subcategories: list<item: struct<subcategory: string, subcategory_abbrev: string, sample_course_id: string>>>
Traditional & Integrative Medicine: struct<category_abbrev: string, subcategories: list<item: struct<subcategory: string, subcategory_abbrev: string, sample_course_id: string>>>
Transportation & Urban Systems: struct<category_abbrev: string, subcategories: list<item: struct<subcategory: string, subcategory_abbrev: string, sample_course_id: string>>>
Veterinary Science & Animal Health: struct<category_abbrev: string, subcategories: list<item: struct<subcategory: string, subcategory_abbrev: string, sample_course_id: string>>>
vs
category: string
category_abbrev: string
subcategory: string
subcategory_abbrev: string
sample_course_id: string
Traceback: Traceback (most recent call last):
File "/src/services/worker/src/worker/job_runners/split/first_rows.py", line 243, in compute_first_rows_from_streaming_response
iterable_dataset = iterable_dataset._resolve_features()
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 3608, in _resolve_features
features = _infer_features_from_batch(self.with_format(None)._head())
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2368, in _head
return next(iter(self.iter(batch_size=n)))
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2573, in iter
for key, example in iterator:
^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2060, in __iter__
for key, pa_table in self._iter_arrow():
^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2082, in _iter_arrow
yield from self.ex_iterable._iter_arrow()
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 588, in _iter_arrow
yield new_key, pa.Table.from_batches(chunks_buffer)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "pyarrow/table.pxi", line 5039, in pyarrow.lib.Table.from_batches
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: Schema at index 1 was different:
Aerospace Engineering: struct<category_abbrev: string, subcategories: list<item: struct<subcategory: string, subcategory_abbrev: string, sample_course_id: string>>>
Architecture: struct<category_abbrev: string, subcategories: list<item: struct<subcategory: string, subcategory_abbrev: string, sample_course_id: string>>>
Artificial Intelligence: struct<category_abbrev: string, subcategories: list<item: struct<subcategory: string, subcategory_abbrev: string, sample_course_id: string>>>
Automobile Engineering: struct<category_abbrev: string, subcategories: list<item: struct<subcategory: string, subcategory_abbrev: string, sample_course_id: string>>>
Biology & Life Sciences: struct<category_abbrev: string, subcategories: list<item: struct<subcategory: string, subcategory_abbrev: string, sample_course_id: string>>>
Biomedical & Health Tech: struct<category_abbrev: string, subcategories: list<item: struct<subcategory: string, subcategory_abbrev: string, sample_course_id: string>>>
Business & Management: struct<category_abbrev: string, subcategories: list<item: struct<subcategory: string, subcategory_abbrev: string, sample_course_id: string>>>
Chemical Engineering: struct<category_abbrev: string, subcategories: list<item: struct<subcategory: string, subcategory_abbrev: string, sample_course_id: string>>>
Chemistry: struct<category_abbrev: string, subcategories: list<item: struct<subcategory: string, subcategory_abbrev: string, sample_course_id: string>>>
Civil Engineering: struct<category_abbrev: string, subcategories: list<item: struct<subcategory: string, subcategory_abbrev: string, sample_course_id: string>>>
Commerce & Accounting: struct<category_abbrev: string, subcategories: list<item: struct<subcategory: string, subcategory_abbrev: string, sample_course_id: string>>>
Computer Science & IT: struct<category_abbrev: string, subcategories: list<item: struct<subcategory: string, subcategory_abbrev: string, sample_course_id: string>>>
Creative Arts, Media & Communication: struct<category_abbrev: string, subcategories: list<item: struct<subcategory: string, subcategory_abbrev: string, sample_course_id: string>>>
Criminology & Forensic Science: struct<category_abbrev: string, subcategories: list<item: struct<subcategory: string, subcategory_abbrev: string, sample_course_id: string>>>
Cybersecurity: struct<category_abbrev: string, subcategories: list<item: struct<subcategory: string, subcategory_abbrev: string, sample_course_id: string>>>
Data Science & Analytics: struct<category_abbrev: string, subcategories: list<item: struct<subcategory: string, subcategory_abbrev: string, sample_course_id: string>>>
Defense & Strategic Studies: struct<category_abbrev: string, subcategories: list<item: struct<subcategory: string, subcategory_abbrev: string, sample_course_id: string>>>
Dentistry & Oral Health: struct<category_abbrev: string, subcategories: list<item: struct<subcategory: string, subcategory_abbrev: string, sample_course_id: string>>>
Earth & Environmental Sciences: struct<category_abbrev: string, subcategories: list<item: struct<subcategory: string, subcategory_abbrev: string, sample_course_id: string>>>
Economics & Public Policy: struct<category_abbrev: string, subcategories: list<item: struct<subcategory: string, subcategory_abbrev: string, sample_course_id: string>>>
Education & EdTech: struct<category_abbrev: string, subcategories: list<item: struct<subcategory: string, subcategory_abbrev: string, sample_course_id: string>>>
Electric Vehicles & E-Mobility: struct<category_abbrev: string, subcategories: list<item: struct<subcategory: string, subcategory_abbrev: string, sample_course_id: string>>>
Electrical, Power & Energy: struct<category_abbrev: string, subcategories: list<item: struct<subcategory: string, subcategory_abbrev: string, sample_course_id: string>>>
Electronics, Robotics & IoT: struct<category_abbrev: string, subcategories: list<item: struct<subcategory: string, subcategory_abbrev: string, sample_course_id: string>>>
Energy & Sustainability: struct<category_abbrev: string, subcategories: list<item: struct<subcategory: string, subcategory_abbrev: string, sample_course_id: string>>>
Entrepreneurship & Innovation: struct<category_abbrev: string, subcategories: list<item: struct<subcategory: string, subcategory_abbrev: string, sample_course_id: string>>>
Finance, Banking & FinTech: struct<category_abbrev: string, subcategories: list<item: struct<subcategory: string, subcategory_abbrev: string, sample_course_id: string>>>
Hospitality, Tourism & Events: struct<category_abbrev: string, subcategories: list<item: struct<subcategory: string, subcategory_abbrev: string, sample_course_id: string>>>
Interdisciplinary Studies: struct<category_abbrev: string, subcategories: list<item: struct<subcategory: string, subcategory_abbrev: string, sample_course_id: string>>>
Languages & Literature: struct<category_abbrev: string, subcategories: list<item: struct<subcategory: string, subcategory_abbrev: string, sample_course_id: string>>>
Law & Governance: struct<category_abbrev: string, subcategories: list<item: struct<subcategory: string, subcategory_abbrev: string, sample_course_id: string>>>
Marine Engineering: struct<category_abbrev: string, subcategories: list<item: struct<subcategory: string, subcategory_abbrev: string, sample_course_id: string>>>
Marketing, Sales & CX: struct<category_abbrev: string, subcategories: list<item: struct<subcategory: string, subcategory_abbrev: string, sample_course_id: string>>>
Materials Science & Processes: struct<category_abbrev: string, subcategories: list<item: struct<subcategory: string, subcategory_abbrev: string, sample_course_id: string>>>
Mathematics: struct<category_abbrev: string, subcategories: list<item: struct<subcategory: string, subcategory_abbrev: string, sample_course_id: string>>>
Mechanical Engineering: struct<category_abbrev: string, subcategories: list<item: struct<subcategory: string, subcategory_abbrev: string, sample_course_id: string>>>
Medicine & Clinical: struct<category_abbrev: string, subcategories: list<item: struct<subcategory: string, subcategory_abbrev: string, sample_course_id: string>>>
Mining Engineering: struct<category_abbrev: string, subcategories: list<item: struct<subcategory: string, subcategory_abbrev: string, sample_course_id: string>>>
Nursing & Allied Health: struct<category_abbrev: string, subcategories: list<item: struct<subcategory: string, subcategory_abbrev: string, sample_course_id: string>>>
Operations, SCM & Logistics: struct<category_abbrev: string, subcategories: list<item: struct<subcategory: string, subcategory_abbrev: string, sample_course_id: string>>>
Personal & Professional Skills: struct<category_abbrev: string, subcategories: list<item: struct<subcategory: string, subcategory_abbrev: string, sample_course_id: string>>>
Petroleum Engineering: struct<category_abbrev: string, subcategories: list<item: struct<subcategory: string, subcategory_abbrev: string, sample_course_id: string>>>
Pharmacy & Pharmaceutical Sciences: struct<category_abbrev: string, subcategories: list<item: struct<subcategory: string, subcategory_abbrev: string, sample_course_id: string>>>
Physics: struct<category_abbrev: string, subcategories: list<item: struct<subcategory: string, subcategory_abbrev: string, sample_course_id: string>>>
Public & Community Health: struct<category_abbrev: string, subcategories: list<item: struct<subcategory: string, subcategory_abbrev: string, sample_course_id: string>>>
Science: struct<category_abbrev: string, subcategories: list<item: struct<subcategory: string, subcategory_abbrev: string, sample_course_id: string>>>
Social Sciences & Humanities: struct<category_abbrev: string, subcategories: list<item: struct<subcategory: string, subcategory_abbrev: string, sample_course_id: string>>>
Soft Skills: struct<category_abbrev: string, subcategories: list<item: struct<subcategory: string, subcategory_abbrev: string, sample_course_id: string>>>
Sports, Fitness & Wellness: struct<category_abbrev: string, subcategories: list<item: struct<subcategory: string, subcategory_abbrev: string, sample_course_id: string>>>
Traditional & Integrative Medicine: struct<category_abbrev: string, subcategories: list<item: struct<subcategory: string, subcategory_abbrev: string, sample_course_id: string>>>
Transportation & Urban Systems: struct<category_abbrev: string, subcategories: list<item: struct<subcategory: string, subcategory_abbrev: string, sample_course_id: string>>>
Veterinary Science & Animal Health: struct<category_abbrev: string, subcategories: list<item: struct<subcategory: string, subcategory_abbrev: string, sample_course_id: string>>>
vs
category: string
category_abbrev: string
subcategory: string
subcategory_abbrev: string
sample_course_id: stringNeed help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
Official Dataset URL:
https://huggingface.co/datasets/PriyaRGenie/rgenie-education-taxonomy
Official Website:
https://www.rgenie.in
RGenie Education Taxonomy (Master)
Maintained by: RGenie Solutions (www.rgenie.in)
Author / Dataset Curator: Priya Pahadsingh
Version: v1.0
Release date: 2026-03-01
What this is
This dataset is the master taxonomy used by RGenie Solutions to structure and index mobile-first, gamified microlearning courses (including Unity-based interactive simulations).
It provides a consistent Category (2-letter) + Sub-category (3-letter) coding scheme, and an example Course ID format: CC-SSS-###.
Why this dataset exists
Use this taxonomy to:
- organize course catalogs consistently
- map courses to standard domains/sub-domains
- create stable course-ID naming conventions
- support AI-assisted curriculum mapping and content generation
- build search, filters, and recommendation systems around course metadata
Files in this repository
rgenie_taxonomy_v1.csv
Flat table (easy for spreadsheets and BI tools).rgenie_taxonomy_v1.json
JSON array of records (easy for apps and pipelines).rgenie_taxonomy_v1.jsonl
One JSON object per line (ideal for ML data loaders).rgenie_taxonomy_hierarchy_v1.json
Hierarchical structure by category → subcategories.schema.json
JSON Schema describing each record.
Data fields
Each record contains:
category(string): Category name (human-readable)category_abbrev(string): 2-letter abbreviation used in course IDssubcategory(string): Sub-category namesubcategory_abbrev(string): 3-letter abbreviation used in course IDssample_course_id(string): Example ID inCC-SSS-###format
Recommended citation
Priya Pahadsingh (2026). RGenie Education Taxonomy (Master), v1.0. RGenie Solutions. Hosted on Hugging Face.
Contact
RGenie Solutions: www.rgenie.in
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