Datasets:

Laz4rz
/

wikipedia_science_chunked_small_rag_512

Tasks:

Text Generation

Text Classification

Question Answering

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Tags:

Retrieval Augmented Generation

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Laz4rz commited on Jun 12

Commit

d705d76

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1 Parent(s): 3177a34

Update README.md

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@@ -11,6 +11,7 @@ tags:
 - Scientific
 - Scientific Wikipedia
 - Science Wikipedia
 license: cc-by-sa-3.0
 task_categories:
 - text-generation
@@ -22,9 +23,11 @@ task_categories:
 Processed version of millawell/wikipedia_field_of_science, prepared to be used in small context length RAG systems. Chunk length is tokenizer dependent, but each chunk should be around 512 tokens. Longer wikipedia pages have been split into smaller entries, with title added as a prefix.
 If you wish to prepare some other chunk length:
-- use millawell/wikipedia_field_of_science
-- adapt chunker function:
 ```
 def chunker_clean(results, example, length=512, approx_token=3, prefix=""):
     if len(results) == 0:

 - Scientific
 - Scientific Wikipedia
 - Science Wikipedia
+- 512 tokens
 license: cc-by-sa-3.0
 task_categories:
 - text-generation
 Processed version of millawell/wikipedia_field_of_science, prepared to be used in small context length RAG systems. Chunk length is tokenizer dependent, but each chunk should be around 512 tokens. Longer wikipedia pages have been split into smaller entries, with title added as a prefix.
+There is also 256 tokens dataset available: Laz4rz/wikipedia_science_chunked_small_rag_256
 If you wish to prepare some other chunk length:
+1. use millawell/wikipedia_field_of_science
+2. adapt chunker function:
 ```
 def chunker_clean(results, example, length=512, approx_token=3, prefix=""):
     if len(results) == 0: