Update README.md

README.md

@@ -140,20 +140,34 @@ The fields are consistent with the [Protocol](#protocol) entity.
 - `Number of examples`: 41,319
 - Data_urls:todo
 
-#### Committees ALL Features Sentences
+#### 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
+#### 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.    
 - `Conllu files`: The morphological fields of the sentences in a conllu format. corresponding to the morphological_fields of the [Sentence](#sentence) model.     
@@ -266,7 +280,7 @@ This is roughly equivalent to a join between all the entities in dataset.
 Each field corresponds to its respective description in the entity's section. The structure includes the following fields:
 - Protocol fields: These correspond to the protocol from which the sentence is extracted and include:   
   `knesset_number`, `protocol_name`, `protocol_number`, `protocol_type`, `session_name`, `parent_session_name`, `protocol_date`, `is_ocr_output`.
-- Sentence fields: These pertain to the specific sentence and include:   
+- Sentence fields: These correspond to the specific sentence and include:   
   `sentence_id`, `speaker_id`, `speaker_name`, `is_valid_speaker`, `is_chairman`, `turn_num_in_protocol`, `sent_num_in_turn`, `sentence_text`, `morphological_fields`, `factuality_fields`.
 - Person (Speaker) fields: These correspond to the speaker of the sentence and include:   
   `speaker_first_name`, `speaker_last_name`, `speaker_is_knesset_member`, `speaker_gender`, `speaker_email`, `speaker_last_updated_date`, `speaker_date_of_birth`, `speaker_place_of_birth`,`speaker_year_of_aliya`, `speaker_date_of_death`, `speaker_mother_tongue`, `speaker_religion`, `speaker_nationality`, `speaker_religious_orientation`, `speaker_residence`, `speaker_factions_memberships`, `speaker_languages`, `speaker_sources`, `speaker_notes`.
@@ -276,12 +290,9 @@ Please refer to the respective entity section for details on each field.
 
 
 
-
-
 ### License
-
+license: cc-by-sa-4.0
 The raw data files were recieved from the [Knesset archives](https://main.knesset.gov.il/Pages/default.aspx). 
 
-[More Information Needed]
 
-### Citation
+### Citation