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Define features explicitly in the dataset card (#11)
Browse files- Define features explicitly in the dataset card (c6cd9fc75daa23bace3d9bb4d70bd1e7ab43282b)
Co-authored-by: Albert Villanova <albertvillanova@users.noreply.huggingface.co>
README.md
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@@ -1,5 +1,51 @@
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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.
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