Update README.md

README.md

@@ -105,32 +105,24 @@ with open(path, encoding="utf-8") as file:
 - `description`: Samples of all the sentences in the corpus (plenary and committee) together with all the features available in the dataset.      
 The fields are consistent with the [All Features Sentence](#all_features_sentence) entity.   
 - `Number of examples`: 32,832,205
-- `Data_urls`:   
-  ["https://huggingface.co/datasets/HaifaCLGroup/KnessetCorpus/resolve/main/protocols_sentences/committee_full_sentences.jsonl.bz2",
-  "https://huggingface.co/datasets/HaifaCLGroup/KnessetCorpus/resolve/main/protocols_sentences/plenary_full_sentences.jsonl.bz2"]
 
 #### Non-Morphological_Features_Sentences
 - `name`: "no_morph_all_features_sentences"
 - `description`: The same as [All Features Sentences](#all_features_sentences) but without the morphological_fields features.    
   Ideal if morpho-syntactic annotations aren't relevant to your work, providing a less disk space heavy option.
 - `Number of examples`: 32,832,205
-- `Data_urls`:   
-  ["https://huggingface.co/datasets/HaifaCLGroup/KnessetCorpus/resolve/main/protocols_sentences/committee_full_sentences.jsonl.bz2",
-  "https://huggingface.co/datasets/HaifaCLGroup/KnessetCorpus/resolve/main/protocols_sentences/plenary_full_sentences.jsonl.bz2"]
 
 #### KnessetMembers
 - `name`: "knessetMembers"
 - `description`: samples of the knesset members in the dataset and their meta-data information such as name, gender and factions affiliations.   
 The fields are consistent with the [Person](#person) entity.   
 - `Number of examples`: 1,100
-- Data_urls:["https://huggingface.co/datasets/HaifaCLGroup/KnessetCorpus/raw/main/all_knesset_members_jsons.jsonl"]
 
 #### Factions
 - `name`: "factions"
 - `description`: Samples of all the factions in the dataset and their meta-data information such as name, political orientation and active periods.   
 The fields are consistent with the [Faction](#faction) entity.   
 - `Number of examples`: 153
-- Data_urls:["https://huggingface.co/datasets/HaifaCLGroup/KnessetCorpus/raw/main/factions_jsons.jsonl"]
 
 #### Protocols
 - `name`: "protocols"
@@ -138,35 +130,30 @@ The fields are consistent with the [Faction](#faction) entity.
 - knesset number, session name and a list of its sentences.   
 The fields are consistent with the [Protocol](#protocol) entity.   
 - `Number of examples`: 41,319
-- Data_urls:todo
 
 #### Committees_ALL_Features_Sentences
 - `name`: "committees_all_features_sentences"
 - `description`: Samples of all the sentences in the committee sessions together with all the features available in the dataset.    
 The fields are consistent with the [All Features Sentence](#all_features_sentence) entity.   
 - `Number of examples`: 24,805,925
-- Data_urls: ["https://huggingface.co/datasets/HaifaCLGroup/KnessetCorpus/resolve/main/protocols_sentences/committee_full_sentences.jsonl.bz2"]
 
 #### Plenary_ALL_Features_Sentences
 - `name`: "plenary_all_features_sentences"
 - `description`: Samples of all the sentences in the plenary sessions together with all the features available in the dataset.    
 The fields are consistent with the [All Features Sentence](#all_features_sentence) entity.   
 - `Number of examples`: 24,805,925
-- Data_urls: ["https://huggingface.co/datasets/HaifaCLGroup/KnessetCorpus/resolve/main/protocols_sentences/plenary_full_sentences.jsonl.bz2"]
 
 #### Committees Non-Morphological_Features_Sentences
 - `name`: "no_morph_committee_all_features_sentences"
 - `description`: The same as [Committees ALL Features Sentences](#committees_aLL_features_sentences) but without the morphological_fields features.    
   Ideal if morpho-syntactic annotations aren't relevant to your work, providing a less disk space heavy option.
 - `Number of examples`: 24,805,925
-- Data_urls: ["https://huggingface.co/datasets/HaifaCLGroup/KnessetCorpus/resolve/main/protocols_sentences/committee_full_sentences.jsonl.bz2"]
 
 #### Plenary Non-Morphological_Features_Sentences
 - `name`: "no_morph_plenary_all_features_sentences"
 - `description`: The same as [Plenary_ALL_Features_Sentences](#plenary_aLL_features_sentences) but without the morphological_fields features.    
   Ideal if morpho-syntactic annotations aren't relevant to your work, providing a less disk space heavy option.
 - `Number of examples`: 24,805,925
-- Data_urls: ["https://huggingface.co/datasets/HaifaCLGroup/KnessetCorpus/resolve/main/protocols_sentences/plenary_full_sentences.jsonl.bz2"]
 
 ## Other files in dataset
 - `ner_and_ud_manually_annotated_sentences`: contains files with ~4700 manually annotated sentences from the Knesset corpus for the NER and dependencies sentences.