Datasets:
Tasks:
Text Retrieval
Modalities:
Text
Formats:
json
Sub-tasks:
document-retrieval
Languages:
Slovak
Size:
10K - 100K
Tags:
text-retrieval
DOI:
License:
Update README.md
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@@ -213,7 +213,7 @@ The annotation process involved sourcing questions and their corresponding answe
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- Category 2: Answers classified as Category 2 exhibited direct relevance to the posed questions, providing informative and pertinent information that effectively addressed the query's scope.
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- Category 3: Answers falling into Category 3 demonstrated a degree of relevance to the questions but were considered weakly relevant. These responses may contain some relevant information but might lack precision or comprehensiveness in addressing the query.
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- Category 4: In contrast, Category 4 encompassed answers marked by evaluators as not relevant to the questions. These responses failed to provide meaningful or accurate information, indicating a disconnect from the query's intent or context.
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By categorizing answers based on their relevancy levels, the annotation process aimed to ensure the dataset's quality and utility for evaluating search performance accurately in the Slovak language context. These relevancy categories facilitate nuanced analysis and interpretation of search results, enabling comprehensive assessments of search effectiveness and providing valuable insights for further research and development in the field of information retrieval and natural language processing.
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- Category 2: Answers classified as Category 2 exhibited direct relevance to the posed questions, providing informative and pertinent information that effectively addressed the query's scope.
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- Category 3: Answers falling into Category 3 demonstrated a degree of relevance to the questions but were considered weakly relevant. These responses may contain some relevant information but might lack precision or comprehensiveness in addressing the query.
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- Category 4: In contrast, Category 4 encompassed answers marked by evaluators as not relevant to the questions. These responses failed to provide meaningful or accurate information, indicating a disconnect from the query's intent or context.
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By categorizing answers based on their relevancy levels, the annotation process aimed to ensure the dataset's quality and utility for evaluating search performance accurately in the Slovak language context. These relevancy categories facilitate nuanced analysis and interpretation of search results, enabling comprehensive assessments of search effectiveness and providing valuable insights for further research and development in the field of information retrieval and natural language processing.
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