Update README.md

README.md

@@ -22,11 +22,8 @@ This dataset contains the processed text, metadata, and semantic vector embeddin
 
 ### Dataset Description
 
-This dataset was generated as part of the research paper *"A Four-Stage Retrieval-Augmented Generation System for Semantic Knowledge Elicitation"*. It aims to address information overload in the AI domain by providing a ready-to-use, diachronic semantic knowledge base. 
+The raw PDF documents were statelessly extracted, cleaned, and segmented into 5-sentence chunks. These chunks (totaling 7,496,671) were then embedded using the `sentence-transformers/all-mpnet-base-v2` model and indexed in a ChromaDB database. The dataset includes the raw extracted text, metadata, and the full pre-computed vector database.
 
-The raw PDF documents were statelessly extracted, cleaned, and segmented into 5-sentence chunks. These chunks (totaling 7,496,671) were then embedded using the `sentence-transformers/all-mpnet-base-v2` model and indexed in a ChromaDB database. The dataset includes the raw extracted text, metadata, and the full pre-computed vector database (>50 GB).
-
-- **Curated by:** Aman Bhardwaj, Jeet Bhardwaj, and Mir Shahnawaz Ahmad
 - **Language(s) (NLP):** English (`en`)
 - **License:** CC-BY-NC-SA-4.0 (Creative Commons Attribution-NonCommercial-ShareAlike 4.0)
 
@@ -36,7 +33,6 @@ The raw PDF documents were statelessly extracted, cleaned, and segmented into 5-
 ### Dataset Sources
 
 - **Repository (Source Code):** [Scholarly-Epistemic-Engine](https://github.com/GitHub-AmanBhardwaj/Scholarly-Epistemic-Engine)
-- **Paper:** *A Four-Stage Retrieval-Augmented Generation System for Semantic Knowledge Elicitation*
 
 ## Uses
 
@@ -55,7 +51,7 @@ This dataset is intended for researchers and developers building or evaluating a
 
 ## Dataset Structure
 
-The repository contains several key files and directories:
+The repository contains several key files:
 
 - `metadata.csv`: Contains the master metadata catalog for all 89,375 scraped papers (Paper ID, Title, Publication Date, URL) collected during Phase 1.
 - `v1.csv`, `v2.csv`, `v3.csv`, `v4.csv`: These represent the iterative stages of the full-text extraction process using the metadata. `v4.csv` contains the final, complete raw extraction dataset before data cleaning was applied.
@@ -78,7 +74,7 @@ The repository contains several key files and directories:
 
 ### Curation Rationale
 
-The rapid growth of AI literature has created an acute information overload, making it difficult for researchers to track trends or synthesize ideas across decades. Existing datasets often assume text is pre-processed or lack the scale necessary for comprehensive semantic elicitation. This dataset provides a complete, chunked, and embedded corpus to facilitate immediate research into advanced academic RAG workflows.
+Existing datasets often assume text is pre-processed or lack the scale necessary for comprehensive semantic elicitation. This dataset provides a complete, chunked, and embedded corpus to facilitate immediate research into advanced academic RAG workflows.
 
 ### Source Data
 
@@ -105,7 +101,7 @@ This dataset contains minimal personal information, limited to the names and ins
 
 ### Recommendations
 
-Users should employ advanced retrieval mechanisms (such as the Cross-Encoder re-ranking and Adaptive LLM Fusion detailed in the accompanying paper) to mitigate the noise of broad retrieval and ensure semantic faithfulness when generating answers from this dataset.
+Users should employ advanced retrieval mechanisms to mitigate the noise of broad retrieval and ensure semantic faithfulness when generating answers from this dataset.
 
 
 ## Dataset Card Authors