Update README.md

README.md

@@ -623,7 +623,7 @@ The datasets are divided into subsets based on context lengths: 4k, 8k, 16k, 32k
 ### Group II: Question Answering and Multiple Choice
 - **MatreshkaNames**: Identify the person in dialogues based on the discussed topic. We used [Matreshka](https://huggingface.co/datasets/zjkarina/matreshka) dataset and [Russian Names](https://www.kaggle.com/datasets/rai220/russian-cyrillic-names-and-sex/data) dataset to create this and the next task.
 - **MatreshkaYesNo**: Indicate whether a specific topic was mentioned in the dialog.
-- **LibrusecHistory**: Answer questions based on historical texts.
+- **LibrusecHistory**: Answer questions based on historical texts. Ideologically similiar to the [PassageRetrieval dataset](https://huggingface.co/datasets/THUDM/LongBench/viewer/passage_retrieval_en) from LongBench.
 - **ruTREC**: Few-shot in-context learning for topic classification. Created by translating the [TREC dataset](https://huggingface.co/datasets/THUDM/LongBench/viewer/trec_e) from LongBench.
 - **ruSciFi**: Answer true/false based on context and general world knowledge. Translation of [SciFi dataset](https://huggingface.co/datasets/L4NLP/LEval/viewer/sci_f) from L-Eval which originally was based on [SF-Gram](https://github.com/nschaetti/SFGram-dataset).
 - **ruSciAbstractRetrieval**: Retrieve relevant paragraphs from scientific abstracts.
@@ -637,7 +637,7 @@ The datasets are divided into subsets based on context lengths: 4k, 8k, 16k, 32k
 - **ru2WikiMultihopQA**: Translation of the [2WikiMultihopQA dataset](https://huggingface.co/datasets/THUDM/LongBench/viewer/2wikimqa_e) from LongBench.
 
 ### Group IV: Complex Reasoning and Mathematical Problems
-- **ruSciPassageCount**: Count unique paragraphs in a long text.
+- **ruSciPassageCount**: Count unique paragraphs in a long text. Uses the basic idea of the original [PassageCount dataset](https://huggingface.co/datasets/THUDM/LongBench/viewer/passage_count) from LongBench.
 - **ruQasper**: Question Answering over academic research papers. Created by translating the [Qasper dataset](https://huggingface.co/datasets/THUDM/LongBench/viewer/qasper_e) from LongBench.
 - **ruGSM100**: Solve math problems using Chain-of-Thought reasoning. Created by translating the [GSM100](https://huggingface.co/datasets/L4NLP/LEval/viewer/gsm100) dataset from L-Eval.