Upload folder using huggingface_hub

CLC.jsonl.gz

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:25b18577477ac6c56929cda76668e2a435bac3949dbc2535ec9537beec42563c
+size 131991

README.md

@@ -16,12 +16,16 @@ configs:
       - split: train
         path:
           - UDC.jsonl.gz
-language:
-- en
-multilinguality:
-- monolingual
-size_categories:
-- 1K<n<10K
+  - config_name: CLC
+    data_files:
+      - split: train
+        path:
+          - CLC.jsonl.gz
+  - config_name: RVK
+    data_files:
+      - split: train
+        path:
+          - RVK.jsonl.gz
 task_categories:
 - text-classification
 task_ids:
@@ -37,21 +41,54 @@ tags:
 
 ## Dataset Summary
 
-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).
+This comprehensive dataset encompasses hierarchical outlines of five major library classification systems:
+
+1. Dewey Decimal Classification (DDC)
+2. Library of Congress Classification (LCC)
+3. Universal Decimal Classification (UDC)
+4. Chinese Library Classification (CLC)
+5. Regensburger Verbundklassifikation (RVK)
+
+The dataset provides freely-available outlines of these classification systems, which are widely used in libraries and information management systems worldwide. It captures the hierarchical structure and descriptions for each classification, offering a valuable resource for researchers, librarians, and information scientists. However, it's important to note that the full text of the first three classification systems is not included and must be purchased separately from their organizations.
 
-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.
+### Data Format and Content
+
+The data is structured in JSONL (JSON Lines) format, with each entry containing fields for:
+
+- Call numbers
+- Descriptions
+- Broader categories
+- Narrower subcategories
+
+This format ensures easy parsing and integration into various data processing workflows.
+
+### Classification Systems Overview
+
+- **DDC, LCC, and UDC**: These are internationally recognized systems used in libraries across the globe.
+- **CLC**: Primarily used in China by public schools, libraries, and publishers.
+- **RVK**: Employed by several German universities for organizing their collections.
 
 ## Supported Tasks and Leaderboards
 
-This dataset can support tasks related to:
+This dataset is particularly valuable for a range of tasks in information science and machine learning, including:
+
+1. Hierarchical Text Classification
+2. Library Science and Information Organization
+3. Ontology and Knowledge Graph Construction
+4. Comparative Studies of Classification Systems
+5. Machine Learning for Library Cataloging
 
-- Hierarchical text classification
-- Library science and information organization 
-- Ontology and knowledge graph construction
+While there are no specific leaderboards associated with this dataset, it presents opportunities for developing benchmarks in areas such as automated classification accuracy or ontology mapping.
 
 ## Languages
 
-The descriptions are in English.
+The dataset incorporates multiple languages, reflecting the global nature of library classification systems:
+
+- English: DDC, LCC, and UDC
+- Simplified Chinese: CLC
+- German: RVK
+
+This multilingual aspect enhances the dataset's utility for cross-lingual information retrieval and classification tasks.
 
 ## Data Structure
 
@@ -98,8 +135,10 @@ The full dataset contains:
 - 1,110 DDC entries
 - 6,517 LCC entries
 - 2,431 UDC entries
+- 8,826 CLC entries
+- 5,032 RVK entries
 
-Total: 10,058 entries
+Total: 23,916 entries
 
 ## Dataset Creation
 
@@ -115,18 +154,23 @@ The dataset is derived from the publicly available outlines of the Dewey Decimal
 
 Classification outlines were collected on 2024-09-18 from the following authoritative sources:
 
-- Library of Congress Classification (LCC): ["Library of Congress Classification Outline"](https://www.loc.gov/catdir/cpso/lcco/)
-- Universal Decimal Classification (UDC): ["Universal Decimal Classification Summary"](https://vocabs.rossio.fcsh.unl.pt/pub/udcS/en/) (ROSSIO Vocabulary Server)
-- Dewey Decimal Classification (DDC): ["Dewey Services - Resources"](https://www.oclc.org/en/dewey/resources.html) (OCLC)
+- Library of Congress Classification (LCC): Library of Congress Classification Outline
+- Universal Decimal Classification (UDC): Universal Decimal Classification Summary (ROSSIO Vocabulary Server)
+- Dewey Decimal Classification (DDC): Dewey Services - Resources (OCLC)
+- Chinese Library Classification (CLC): CLC Index
+- Regensburger Verbundklassifikation (RVK): RVK Online
 
 Versions used:
 - UDC Master Reference File (UDC MRF) 2011
 - DDC 23 Summaries
+- RVK aktuelle csv-Datei (2023_2)
 
 Data processing steps:
 1. DDC: The summary PDF was downloaded and manually formatted for consistency.
 2. LCC: Microsoft Word files were converted to plain text, with headings and call numbers extracted programmatically.
 3. UDC: The `udc-summary.rdf` file was parsed using RDFlib, retaining only English labels.
+4. CLC: The data was collected by crawling through the website. Only the first 3 levels of the hierarchy were included.
+5. RVK: The CSV file was processed, keeping only the first 3 levels of the hierarchy.
 
 ## Considerations for Using the Data
 

RVK.jsonl.gz

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:0da8b4b40c7b16bc4fcb216cd587399c4dadaef43bbeba65e98f81407ad69fcd
+size 103586