Datasets:
Tasks:
Text Classification
Modalities:
Text
Formats:
json
Sub-tasks:
multi-class-classification
Size:
10K - 100K
Upload folder using huggingface_hub
Browse files- DDC.jsonl.gz +3 -0
- LCC.jsonl.gz +3 -0
- README.md +162 -0
- UDC.jsonl.gz +3 -0
DDC.jsonl.gz
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version https://git-lfs.github.com/spec/v1
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oid sha256:6a093ec2b2747ffb3e149b322c96da14331c6e0c4bf69079cb6afe63b024dbfe
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size 17418
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LCC.jsonl.gz
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version https://git-lfs.github.com/spec/v1
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oid sha256:ff37e16fb9bfdcd28668a9062c6e5fa41d6b3c00333b6f77f73513724e3ed736
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size 139692
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README.md
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---
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configs:
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- config_name: DDC
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default: true
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data_files:
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- split: train
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path:
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- DDC.jsonl.gz
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- config_name: LCC
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data_files:
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- split: train
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path:
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- LCC.jsonl.gz
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- config_name: UDC
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data_files:
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- split: train
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path:
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- UDC.jsonl.gz
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language:
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- en
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multilinguality:
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- monolingual
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size_categories:
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- 1K<n<10K
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task_categories:
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- text-classification
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task_ids:
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- multi-class-classification
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pretty_name: Library Classification Systems
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tags:
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- library-science
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- information-organization
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- ontology
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---
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# Library Classification Systems
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## Dataset Summary
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This dataset contains hierarchical outlines of three major library classification systems: Dewey Decimal Classification (DDC), Library of Congress Classification (LCC), and Universal Decimal Classification (UDC).
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The dataset provides the freely-available outlines of DDC, LCC, and UDC classification systems commonly used in libraries. It contains the hierarchical structure and descriptions for each classification, but not the full text which must be purchased separately. The data is formatted as JSONL files with fields for call numbers, descriptions, broader categories, and narrower subcategories.
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## Supported Tasks and Leaderboards
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This dataset can support tasks related to:
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- Hierarchical text classification
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- Library science and information organization
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- Ontology and knowledge graph construction
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## Languages
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The descriptions are in English.
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## Data Structure
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### Data Instances
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Each instance in the dataset represents a library classification entry. The structure is designed to capture the hierarchical nature of the classification scheme.
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### Data Fields
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- `call_number`: string
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- The alphanumeric call number that uniquely identifies the classification
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- Example: `"AC1-999"`
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- `description`: string
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- A textual description of the classification topic or subject area
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- Example: `"Collections. Series. Collected works"`
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- `broader`: string or null
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- The call number of the parent/broader classification
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- Null for root-level classifications
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- Example: `null` (for a top-level classification)
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- `narrower`: list of strings
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- An array of call numbers representing child/narrower classifications
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- Example: `["AC1-195", "AC200", "AC801-895", "AC901-995", "AC999"]`
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### Example Instance
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```json
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{
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"call_number": "AC1-999",
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"description": "Collections. Series. Collected works",
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"broader": null,
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"narrower": ["AC1-195", "AC200", "AC801-895", "AC901-995", "AC999"]
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}
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```
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This structure allows for efficient navigation and querying of the classification hierarchy, enabling users to traverse from broader to narrower topics and vice versa.
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### Data Splits
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The full dataset contains:
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- 1,110 DDC entries
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- 6,517 LCC entries
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- 2,431 UDC entries
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Total: 10,058 entries
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## Dataset Creation
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### Curation Rationale
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This dataset was curated to provide open access to the hierarchical structure of major library classification systems. It aims to support research, education, and innovation in information organization and retrieval.
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### Source Data
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The dataset is derived from the publicly available outlines of the Dewey Decimal Classification (DDC), Library of Congress Classification (LCC), and Universal Decimal Classification (UDC). Full classification texts are proprietary and require purchase from the respective organizations.
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#### Initial Data Collection and Normalization
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Classification outlines were collected on 2024-09-18 from the following authoritative sources:
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- Library of Congress Classification (LCC): ["Library of Congress Classification Outline"](https://www.loc.gov/catdir/cpso/lcco/)
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- Universal Decimal Classification (UDC): ["Universal Decimal Classification Summary"](https://vocabs.rossio.fcsh.unl.pt/pub/udcS/en/) (ROSSIO Vocabulary Server)
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- Dewey Decimal Classification (DDC): ["Dewey Services - Resources"](https://www.oclc.org/en/dewey/resources.html) (OCLC)
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Versions used:
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- UDC Master Reference File (UDC MRF) 2011
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- DDC 23 Summaries
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Data processing steps:
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1. DDC: The summary PDF was downloaded and manually formatted for consistency.
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2. LCC: Microsoft Word files were converted to plain text, with headings and call numbers extracted programmatically.
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3. UDC: The `udc-summary.rdf` file was parsed using RDFlib, retaining only English labels.
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## Considerations for Using the Data
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### Social Impact of Dataset
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This dataset expands access to library classification knowledge, potentially:
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- Facilitating research in information science and digital humanities
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- Supporting the development of improved information retrieval systems
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- Enhancing educational resources for library and information science students
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### Discussion of Biases
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Users should be aware that library classification systems may reflect historical, cultural, and geographical biases in knowledge organization. These biases could manifest as:
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- Overrepresentation of Western perspectives
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- Outdated terminology or categorizations for certain topics
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- Uneven depth of coverage across different subject areas
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### Known Limitations
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1. Scope: The dataset includes only freely available outlines, not the complete classification texts.
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2. Granularity: The level of detail varies between classification systems and within subject areas.
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3. Currency: Updates to the original classification systems may not be immediately reflected in this dataset.
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4. Structural differences: The UDC system's structure, with its main and auxiliary tables, differs slightly from DDC and LCC, which may affect comparisons.
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## Additional Information
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### Dataset Curators
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Alan Tseng
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### Licensing Information
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Creative Commons Attribution 4.0 International (CC BY 4.0)
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UDC.jsonl.gz
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version https://git-lfs.github.com/spec/v1
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oid sha256:30867f75b8ab64257cb28db3be69a2e6db13c62fead11d0c1131792a87e59ba3
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size 59367
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