|
--- |
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dataset_info: |
|
- config_name: conceptnet5_vocabulary_en |
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features: |
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- name: word |
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dtype: string |
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- name: tag |
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dtype: string |
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splits: |
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num_bytes: 123167929 |
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num_examples: 6846008 |
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download_size: 45799508 |
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dataset_size: 123167929 |
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- config_name: wiki_20220301_en_nltk_adjectives |
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features: |
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dtype: uint32 |
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dtype: string |
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dtype: uint64 |
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splits: |
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num_bytes: 39119443 |
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num_examples: 1323576 |
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download_size: 24403987 |
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dataset_size: 39119443 |
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- config_name: wiki_20220301_en_nltk_nouns |
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features: |
|
- name: noun_id |
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dtype: uint32 |
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- name: noun |
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dtype: string |
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splits: |
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num_bytes: 12442756.0 |
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num_examples: 676770 |
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download_size: 11115529 |
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dataset_size: 12442756.0 |
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- config_name: wiki_20220301_en_nltk_phrases |
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features: |
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- name: phrase_id |
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dtype: uint32 |
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- name: adj_id |
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dtype: uint32 |
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- name: noun_id |
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dtype: uint32 |
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dtype: uint64 |
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splits: |
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num_examples: 10380148 |
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download_size: 129734024 |
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dataset_size: 207602960 |
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- config_name: wiki_20220301_en_nltk_phrases_with_string |
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features: |
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- name: phrase_id |
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dtype: uint32 |
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- name: adj |
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dtype: string |
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dtype: string |
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- name: count |
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dtype: uint64 |
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splits: |
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num_bytes: 377124084 |
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num_examples: 10380148 |
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download_size: 172157247 |
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dataset_size: 377124084 |
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- config_name: wiki_20220301_en_nltk_uncased_adjectives |
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features: |
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- name: adj_id |
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dtype: uint32 |
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dtype: string |
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dtype: uint64 |
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splits: |
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num_bytes: 36784396 |
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num_examples: 1235601 |
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download_size: 22724468 |
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dataset_size: 36784396 |
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- config_name: wiki_20220301_en_nltk_uncased_nouns |
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features: |
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- name: noun_id |
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dtype: uint32 |
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- name: noun |
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dtype: string |
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- name: count |
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dtype: uint64 |
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splits: |
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num_bytes: 17153952 |
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num_examples: 647524 |
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download_size: 10809791 |
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dataset_size: 17153952 |
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- config_name: wiki_20220301_en_nltk_uncased_phrases |
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features: |
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- name: phrase_id |
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dtype: uint32 |
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- name: adj_id |
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dtype: uint32 |
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- name: noun_id |
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dtype: uint32 |
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- name: count |
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dtype: uint64 |
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splits: |
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num_bytes: 198626820 |
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num_examples: 9931341 |
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download_size: 124034311 |
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dataset_size: 198626820 |
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- config_name: wiki_20220301_en_nltk_uncased_phrases_clean |
|
features: |
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- name: phrase_id |
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dtype: uint32 |
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- name: adj_id |
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dtype: uint32 |
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- name: noun_id |
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dtype: uint32 |
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- name: count |
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dtype: uint64 |
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splits: |
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num_bytes: 67986800 |
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num_examples: 3399340 |
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download_size: 41983842 |
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dataset_size: 67986800 |
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- config_name: wiki_20220301_en_nltk_uncased_phrases_with_string |
|
features: |
|
- name: phrase_id |
|
dtype: uint32 |
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- name: adj |
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dtype: string |
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- name: noun |
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dtype: string |
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- name: count |
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dtype: uint64 |
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splits: |
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- name: train |
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num_bytes: 361160989 |
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num_examples: 9931341 |
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download_size: 164282553 |
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dataset_size: 361160989 |
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- config_name: wiki_20220301_simple_tags_nltk_adjectives |
|
features: |
|
- name: id |
|
dtype: int32 |
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- name: adjective |
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dtype: string |
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- name: count |
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dtype: int64 |
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splits: |
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- name: train |
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num_bytes: 508056 |
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num_examples: 21152 |
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download_size: 351437 |
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dataset_size: 508056 |
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- config_name: wiki_20220301_simple_tags_nltk_contexts |
|
features: |
|
- name: noun1_id |
|
dtype: int64 |
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- name: noun2_id |
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dtype: int64 |
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- name: noun1_bert_id |
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dtype: int64 |
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- name: noun2_bert_id |
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dtype: int64 |
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- name: adjective1_id |
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dtype: int64 |
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- name: adjective2_id |
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dtype: int64 |
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- name: schema_id |
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dtype: int64 |
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- name: sentence |
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dtype: string |
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- name: mask_position |
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dtype: int64 |
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splits: |
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num_bytes: 5162738640 |
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num_examples: 34644320 |
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download_size: 562170983 |
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dataset_size: 5162738640 |
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- config_name: wiki_20220301_simple_tags_nltk_contexts_epsilon |
|
features: |
|
- name: noun1_id |
|
dtype: int64 |
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- name: noun2_id |
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dtype: int64 |
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- name: adjective1_id |
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dtype: int64 |
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- name: adjective2_id |
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dtype: int64 |
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- name: schema_id |
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dtype: int64 |
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- name: epsilon |
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dtype: float64 |
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splits: |
|
- name: train |
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num_bytes: 1662927360 |
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num_examples: 34644320 |
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download_size: 342106520 |
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dataset_size: 1662927360 |
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- config_name: wiki_20220301_simple_tags_nltk_contexts_epsilon_no_intro |
|
features: |
|
- name: noun1_id |
|
dtype: int64 |
|
- name: noun2_id |
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dtype: int64 |
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- name: adjective1_id |
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dtype: int64 |
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- name: adjective2_id |
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dtype: int64 |
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- name: schema_id |
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dtype: int64 |
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dtype: float64 |
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splits: |
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- name: train |
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num_bytes: 1662927360 |
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num_examples: 34644320 |
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download_size: 337961367 |
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dataset_size: 1662927360 |
|
- config_name: wiki_20220301_simple_tags_nltk_contexts_no_intro |
|
features: |
|
- name: noun1_id |
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dtype: int64 |
|
- name: noun2_id |
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dtype: int64 |
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- name: noun1_bert_id |
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dtype: int64 |
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- name: noun2_bert_id |
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dtype: int64 |
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- name: adjective1_id |
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dtype: int64 |
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- name: adjective2_id |
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dtype: int64 |
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- name: schema_id |
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dtype: int64 |
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- name: sentence |
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dtype: string |
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- name: mask_position |
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dtype: int64 |
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splits: |
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num_bytes: 4022762320 |
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num_examples: 34644320 |
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download_size: 285243023 |
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dataset_size: 4022762320 |
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- config_name: wiki_20220301_simple_tags_nltk_filtered_noun_pairs |
|
features: |
|
- name: noun1_id |
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dtype: int64 |
|
- name: noun2_id |
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sequence: int64 |
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splits: |
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num_examples: 433054 |
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download_size: 4499602 |
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dataset_size: 25983240 |
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- config_name: wiki_20220301_simple_tags_nltk_noun_pairs |
|
features: |
|
- name: noun1_id |
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dtype: int32 |
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dtype: int32 |
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- name: adjectives_id |
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sequence: int32 |
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splits: |
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num_examples: 3245260 |
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download_size: 44230314 |
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dataset_size: 125583432 |
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- config_name: wiki_20220301_simple_tags_nltk_nouns |
|
features: |
|
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dtype: int32 |
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- name: noun |
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dtype: string |
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dtype: int64 |
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splits: |
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num_examples: 9521 |
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download_size: 154872 |
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dataset_size: 221774 |
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- config_name: wiki_20220301_simple_tags_nltk_phrases |
|
features: |
|
- name: adjective_id |
|
dtype: int32 |
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- name: noun_id |
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dtype: int32 |
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- name: count |
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dtype: int64 |
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splits: |
|
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|
num_bytes: 3514128 |
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num_examples: 219633 |
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download_size: 1993091 |
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dataset_size: 3514128 |
|
- config_name: wiki_20220301_simple_tags_nltk_scenarios |
|
features: |
|
- name: noun1_id |
|
dtype: uint32 |
|
- name: noun2_id |
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dtype: uint32 |
|
- name: adjectives_id |
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sequence: uint32 |
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- name: epsilons |
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sequence: float64 |
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splits: |
|
- name: train |
|
num_bytes: 2702256960 |
|
num_examples: 51966480 |
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download_size: 553286399 |
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dataset_size: 2702256960 |
|
- config_name: wiki_20220301_simple_tags_nltk_scenarios_epsilon |
|
features: |
|
- name: noun1_id |
|
dtype: int64 |
|
- name: noun2_id |
|
dtype: int64 |
|
- name: adjectives_id |
|
sequence: int64 |
|
- name: epsilons |
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sequence: float64 |
|
- name: adjectives_entropy |
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dtype: float64 |
|
splits: |
|
- name: train |
|
num_bytes: 4157318400 |
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num_examples: 51966480 |
|
download_size: 0 |
|
dataset_size: 4157318400 |
|
configs: |
|
- config_name: conceptnet5_vocabulary_en |
|
data_files: |
|
- split: train |
|
path: conceptnet5_vocabulary_en/train-* |
|
- config_name: wiki_20220301_en_nltk_adjectives |
|
data_files: |
|
- split: train |
|
path: wiki_20220301_en_nltk_adjectives/train-* |
|
- config_name: wiki_20220301_en_nltk_nouns |
|
data_files: |
|
- split: train |
|
path: wiki_20220301_en_nltk_nouns/train-* |
|
- config_name: wiki_20220301_en_nltk_phrases |
|
data_files: |
|
- split: train |
|
path: wiki_20220301_en_nltk_phrases/train-* |
|
- config_name: wiki_20220301_en_nltk_phrases_with_string |
|
data_files: |
|
- split: train |
|
path: wiki_20220301_en_nltk_phrases_with_string/train-* |
|
- config_name: wiki_20220301_en_nltk_uncased_adjectives |
|
data_files: |
|
- split: train |
|
path: wiki_20220301_en_nltk_uncased_adjectives/train-* |
|
- config_name: wiki_20220301_en_nltk_uncased_nouns |
|
data_files: |
|
- split: train |
|
path: wiki_20220301_en_nltk_uncased_nouns/train-* |
|
- config_name: wiki_20220301_en_nltk_uncased_phrases |
|
data_files: |
|
- split: train |
|
path: wiki_20220301_en_nltk_uncased_phrases/train-* |
|
- config_name: wiki_20220301_en_nltk_uncased_phrases_clean |
|
data_files: |
|
- split: train |
|
path: wiki_20220301_en_nltk_uncased_phrases_clean/train-* |
|
- config_name: wiki_20220301_en_nltk_uncased_phrases_with_string |
|
data_files: |
|
- split: train |
|
path: wiki_20220301_en_nltk_uncased_phrases_with_string/train-* |
|
- config_name: wiki_20220301_simple_tags_nltk_adjectives |
|
data_files: |
|
- split: train |
|
path: wiki_20220301_simple_tags_nltk_adjectives/train-* |
|
- config_name: wiki_20220301_simple_tags_nltk_contexts |
|
data_files: |
|
- split: train |
|
path: wiki_20220301_simple_tags_nltk_contexts/train-* |
|
- config_name: wiki_20220301_simple_tags_nltk_contexts_epsilon |
|
data_files: |
|
- split: train |
|
path: wiki_20220301_simple_tags_nltk_contexts_epsilon/train-* |
|
- config_name: wiki_20220301_simple_tags_nltk_contexts_epsilon_no_intro |
|
data_files: |
|
- split: train |
|
path: wiki_20220301_simple_tags_nltk_contexts_epsilon_no_intro/train-* |
|
- config_name: wiki_20220301_simple_tags_nltk_contexts_no_intro |
|
data_files: |
|
- split: train |
|
path: wiki_20220301_simple_tags_nltk_contexts_no_intro/train-* |
|
- config_name: wiki_20220301_simple_tags_nltk_filtered_noun_pairs |
|
data_files: |
|
- split: train |
|
path: wiki_20220301_simple_tags_nltk_filtered_noun_pairs/train-* |
|
- config_name: wiki_20220301_simple_tags_nltk_noun_pairs |
|
data_files: |
|
- split: train |
|
path: wiki_20220301_simple_tags_nltk_noun_pairs/train-* |
|
- config_name: wiki_20220301_simple_tags_nltk_nouns |
|
data_files: |
|
- split: train |
|
path: wiki_20220301_simple_tags_nltk_nouns/train-* |
|
- config_name: wiki_20220301_simple_tags_nltk_phrases |
|
data_files: |
|
- split: train |
|
path: wiki_20220301_simple_tags_nltk_phrases/train-* |
|
- config_name: wiki_20220301_simple_tags_nltk_scenarios |
|
data_files: |
|
- split: train |
|
path: wiki_20220301_simple_tags_nltk_scenarios/train-* |
|
- config_name: wiki_20220301_simple_tags_nltk_scenarios_epsilon |
|
data_files: |
|
- split: train |
|
path: wiki_20220301_simple_tags_nltk_scenarios_epsilon/train-* |
|
--- |
|
# Dataset Card for "prlang" |
|
|
|
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
