| --- |
| dataset_info: |
| - config_name: conceptnet5_vocabulary_en |
| features: |
| - name: word |
| dtype: string |
| - name: tag |
| dtype: string |
| splits: |
| - name: train |
| num_bytes: 123167929 |
| num_examples: 6846008 |
| download_size: 45799508 |
| dataset_size: 123167929 |
| - config_name: wiki_20220301_en_nltk_adjectives |
| features: |
| - name: adj_id |
| dtype: uint32 |
| - name: adj |
| dtype: string |
| - name: count |
| dtype: uint64 |
| splits: |
| - name: train |
| num_bytes: 39119443 |
| num_examples: 1323576 |
| download_size: 24403987 |
| dataset_size: 39119443 |
| - config_name: wiki_20220301_en_nltk_nouns |
| features: |
| - name: noun_id |
| dtype: uint32 |
| - name: noun |
| dtype: string |
| splits: |
| - name: train |
| num_bytes: 12442756.0 |
| num_examples: 676770 |
| download_size: 11115529 |
| dataset_size: 12442756.0 |
| - config_name: wiki_20220301_en_nltk_phrases |
| features: |
| - name: phrase_id |
| dtype: uint32 |
| - name: adj_id |
| dtype: uint32 |
| - name: noun_id |
| dtype: uint32 |
| - name: count |
| dtype: uint64 |
| splits: |
| - name: train |
| num_bytes: 207602960 |
| num_examples: 10380148 |
| download_size: 129734024 |
| dataset_size: 207602960 |
| - config_name: wiki_20220301_en_nltk_phrases_with_string |
| features: |
| - name: phrase_id |
| dtype: uint32 |
| - name: adj |
| dtype: string |
| - name: noun |
| dtype: string |
| - name: count |
| dtype: uint64 |
| splits: |
| - name: train |
| num_bytes: 377124084 |
| num_examples: 10380148 |
| download_size: 172157247 |
| dataset_size: 377124084 |
| - config_name: wiki_20220301_en_nltk_uncased_adjectives |
| features: |
| - name: adj_id |
| dtype: uint32 |
| - name: adj |
| dtype: string |
| - name: count |
| dtype: uint64 |
| splits: |
| - name: train |
| num_bytes: 36784396 |
| num_examples: 1235601 |
| download_size: 22724468 |
| dataset_size: 36784396 |
| - config_name: wiki_20220301_en_nltk_uncased_nouns |
| features: |
| - name: noun_id |
| dtype: uint32 |
| - name: noun |
| dtype: string |
| - name: count |
| dtype: uint64 |
| splits: |
| - name: train |
| num_bytes: 17153952 |
| num_examples: 647524 |
| download_size: 10809791 |
| dataset_size: 17153952 |
| - config_name: wiki_20220301_en_nltk_uncased_phrases |
| features: |
| - name: phrase_id |
| dtype: uint32 |
| - name: adj_id |
| dtype: uint32 |
| - name: noun_id |
| dtype: uint32 |
| - name: count |
| dtype: uint64 |
| splits: |
| - name: train |
| num_bytes: 198626820 |
| num_examples: 9931341 |
| download_size: 124034311 |
| dataset_size: 198626820 |
| - config_name: wiki_20220301_en_nltk_uncased_phrases_clean |
| features: |
| - name: phrase_id |
| dtype: uint32 |
| - name: adj_id |
| dtype: uint32 |
| - name: noun_id |
| dtype: uint32 |
| - name: count |
| dtype: uint64 |
| splits: |
| - name: train |
| num_bytes: 67986800 |
| num_examples: 3399340 |
| download_size: 41983842 |
| dataset_size: 67986800 |
| - config_name: wiki_20220301_en_nltk_uncased_phrases_with_string |
| features: |
| - name: phrase_id |
| dtype: uint32 |
| - name: adj |
| dtype: string |
| - name: noun |
| dtype: string |
| - name: count |
| dtype: uint64 |
| splits: |
| - name: train |
| num_bytes: 361160989 |
| num_examples: 9931341 |
| download_size: 164282553 |
| dataset_size: 361160989 |
| - config_name: wiki_20220301_simple_tags_nltk_adjectives |
| features: |
| - name: id |
| dtype: int32 |
| - name: adjective |
| dtype: string |
| - name: count |
| dtype: int64 |
| splits: |
| - name: train |
| num_bytes: 508056 |
| num_examples: 21152 |
| download_size: 351437 |
| dataset_size: 508056 |
| - config_name: wiki_20220301_simple_tags_nltk_contexts |
| features: |
| - name: noun1_id |
| dtype: int64 |
| - name: noun2_id |
| dtype: int64 |
| - name: noun1_bert_id |
| dtype: int64 |
| - name: noun2_bert_id |
| dtype: int64 |
| - name: adjective1_id |
| dtype: int64 |
| - name: adjective2_id |
| dtype: int64 |
| - name: schema_id |
| dtype: int64 |
| - name: sentence |
| dtype: string |
| - name: mask_position |
| dtype: int64 |
| splits: |
| - name: train |
| num_bytes: 5162738640 |
| num_examples: 34644320 |
| download_size: 562170983 |
| dataset_size: 5162738640 |
| - config_name: wiki_20220301_simple_tags_nltk_contexts_epsilon |
| features: |
| - name: noun1_id |
| dtype: int64 |
| - name: noun2_id |
| dtype: int64 |
| - name: adjective1_id |
| dtype: int64 |
| - name: adjective2_id |
| dtype: int64 |
| - name: schema_id |
| dtype: int64 |
| - name: epsilon |
| dtype: float64 |
| splits: |
| - name: train |
| num_bytes: 1662927360 |
| num_examples: 34644320 |
| download_size: 342106520 |
| dataset_size: 1662927360 |
| - config_name: wiki_20220301_simple_tags_nltk_contexts_epsilon_no_intro |
| features: |
| - name: noun1_id |
| dtype: int64 |
| - name: noun2_id |
| dtype: int64 |
| - name: adjective1_id |
| dtype: int64 |
| - name: adjective2_id |
| dtype: int64 |
| - name: schema_id |
| dtype: int64 |
| - name: epsilon |
| dtype: float64 |
| splits: |
| - name: train |
| num_bytes: 1662927360 |
| num_examples: 34644320 |
| download_size: 337961367 |
| dataset_size: 1662927360 |
| - config_name: wiki_20220301_simple_tags_nltk_contexts_no_intro |
| features: |
| - name: noun1_id |
| dtype: int64 |
| - name: noun2_id |
| dtype: int64 |
| - name: noun1_bert_id |
| dtype: int64 |
| - name: noun2_bert_id |
| dtype: int64 |
| - name: adjective1_id |
| dtype: int64 |
| - name: adjective2_id |
| dtype: int64 |
| - name: schema_id |
| dtype: int64 |
| - name: sentence |
| dtype: string |
| - name: mask_position |
| dtype: int64 |
| splits: |
| - name: train |
| num_bytes: 4022762320 |
| num_examples: 34644320 |
| download_size: 285243023 |
| dataset_size: 4022762320 |
| - config_name: wiki_20220301_simple_tags_nltk_filtered_noun_pairs |
| features: |
| - name: noun1_id |
| dtype: int64 |
| - name: noun2_id |
| dtype: int64 |
| - name: adjectives_id |
| sequence: int64 |
| splits: |
| - name: train |
| num_bytes: 25983240 |
| num_examples: 433054 |
| download_size: 4499602 |
| dataset_size: 25983240 |
| - config_name: wiki_20220301_simple_tags_nltk_noun_pairs |
| features: |
| - name: noun1_id |
| dtype: int32 |
| - name: noun2_id |
| dtype: int32 |
| - name: adjectives_id |
| sequence: int32 |
| splits: |
| - name: train |
| num_bytes: 125583432 |
| num_examples: 3245260 |
| download_size: 44230314 |
| dataset_size: 125583432 |
| - config_name: wiki_20220301_simple_tags_nltk_nouns |
| features: |
| - name: id |
| dtype: int32 |
| - name: noun |
| dtype: string |
| - name: count |
| dtype: int64 |
| splits: |
| - name: train |
| num_bytes: 221774 |
| num_examples: 9521 |
| download_size: 154872 |
| dataset_size: 221774 |
| - config_name: wiki_20220301_simple_tags_nltk_phrases |
| features: |
| - name: adjective_id |
| dtype: int32 |
| - name: noun_id |
| dtype: int32 |
| - name: count |
| dtype: int64 |
| splits: |
| - name: train |
| num_bytes: 3514128 |
| num_examples: 219633 |
| download_size: 1993091 |
| dataset_size: 3514128 |
| - config_name: wiki_20220301_simple_tags_nltk_scenarios |
| features: |
| - name: noun1_id |
| dtype: uint32 |
| - name: noun2_id |
| dtype: uint32 |
| - name: adjectives_id |
| sequence: uint32 |
| - name: epsilons |
| sequence: float64 |
| splits: |
| - name: train |
| num_bytes: 2702256960 |
| num_examples: 51966480 |
| download_size: 553286399 |
| 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 |
| sequence: float64 |
| - name: adjectives_entropy |
| dtype: float64 |
| splits: |
| - name: train |
| num_bytes: 4157318400 |
| 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) |
