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achal-tri albertvillanova HF staff commited on
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Define features explicitly in the dataset card (#11)

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- Define features explicitly in the dataset card (c6cd9fc75daa23bace3d9bb4d70bd1e7ab43282b)


Co-authored-by: Albert Villanova <albertvillanova@users.noreply.huggingface.co>

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  1. README.md +46 -0
README.md CHANGED
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  ---
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  license: cc-by-4.0
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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  ## DCLM-baseline
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  DCLM-baseline is a 4T token / 3B document pretraining dataset that achieves strong performance on language model benchmarks.
 
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  ---
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  license: cc-by-4.0
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+ dataset_info:
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+ features:
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+ - name: bff_contained_ngram_count_before_dedupe
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+ dtype: int64
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+ - name: language_id_whole_page_fasttext
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+ struct:
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+ - name: en
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+ dtype: float64
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+ - name: metadata
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+ struct:
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+ - name: Content-Length
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+ dtype: string
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+ - name: Content-Type
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+ dtype: string
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+ - name: WARC-Block-Digest
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+ dtype: string
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+ - name: WARC-Concurrent-To
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+ dtype: string
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+ - name: WARC-Date
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+ dtype: timestamp[s]
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+ - name: WARC-IP-Address
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+ dtype: string
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+ - name: WARC-Identified-Payload-Type
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+ dtype: string
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+ - name: WARC-Payload-Digest
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+ dtype: string
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+ - name: WARC-Record-ID
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+ dtype: string
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+ - name: WARC-Target-URI
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+ dtype: string
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+ - name: WARC-Type
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+ dtype: string
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+ - name: WARC-Warcinfo-ID
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+ dtype: string
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+ - name: WARC-Truncated
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+ dtype: string
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+ - name: previous_word_count
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+ dtype: int64
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+ - name: text
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+ dtype: string
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+ - name: url
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+ dtype: string
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+ - name: warcinfo
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+ dtype: string
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+ - name: fasttext_openhermes_reddit_eli5_vs_rw_v2_bigram_200k_train_prob
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+ dtype: float64
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  ---
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  ## DCLM-baseline
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  DCLM-baseline is a 4T token / 3B document pretraining dataset that achieves strong performance on language model benchmarks.