mamei16/chonky_distilbert_base_uncased_1.1
Token Classification • 66.4M • Updated
• 2
tokens listlengths 1 74.3k | ner_tags listlengths 1 74.3k |
|---|---|
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End of preview. Expand
in Data Studio
Description
This dataset consists of English Wikipedia articles, which first have been split by paragraph breaks and subsequently by spaces. For each resulting token, there is a corresponding binary ner_tag, which is 1 if a token was followed by paragraph break in the original text. There are two deliberate exceptions to this, which can be seen in the dataset generation code:
- The text is not split if a paragraph break is preceded by a colon (":"), to avoid lists being separated into different chunks.
- A paragraph must be longer than one token.
The purpose of this dataset is to train chunking models for use in RAG applications.
- Downloads last month
- 28
Size of the auto-converted Parquet files (First 5GB per split):
2 GB
Number of rows (First 5GB per split):
1,275,090
Estimated number of rows:
6,390,823
Models trained or fine-tuned on mamei16/wikipedia_paragraphs