Update README.md

README.md

@@ -24,7 +24,7 @@ dataset_info:
   - name: guided_chosen_suggestions
     sequence: string
   - name: label_candidates
-    sequence: 'null'
+    sequence: null
   splits:
   - name: train
     num_bytes: 9201244
@@ -41,20 +41,20 @@ configs:
     path: data/train-*
   - split: validation
     path: data/validation-*
+size_categories:
+- 1K<n<10K
 license: apache-2.0
 task_categories:
 - text-generation
-size_categories:
-- 1K<n<10K
 ---
 
-# Blended Skill Talk - ShareGPT Processed
+# Blended Skill Talk
 
 ## Dataset Summary
 
-This dataset contains conversations between two personas with additional context, previous utterances, free messages, guided messages, suggestions, and guided chosen suggestions, allowing for the creation of natural multi-modal conversations with personality, empathy, and knowledge.  
+This dataset contains conversations between two personas with additional context previous utterances free messages guided messages suggestions and guided chosen suggestions allowing for the creation of natural multi-modal conversations with personality empathy and knowledge  
 
-The conversations are designed to measure a full range of technical competencies such as dialogue flow management (including response times), topic control, and coherence of conversation. It also provides a basis for exploring the impact of different conversational styles on user engagement. Additionally, the dataset is useful for validating distributed dialogue systems across various modalities while revealing potential biases present in different contexts. Finally, it enables benchmarking against similar datasets toward the development of an automatic evaluation system for assessing tactical skill talk performance over time.
+The conversations are designed to measure a full range of technical competencies such as dialogue flow management including response times topic control and coherence of conversation It also provides a basis for exploring the impact of different conversational styles on user engagement Additionally the dataset is useful for validating distributed dialogue systems across various modalities while revealing potential biases present in different contexts Finally it enables benchmarking against similar datasets toward the development of an automatic evaluation system for assessing tactical skill talk performance over time
 
 ---
 
@@ -64,22 +64,22 @@ The conversations are designed to measure a full range of technical competencies
 
 | Field | Description |
 |:------|:-------------|
-| personas | List of personas participating in the conversation. |
-| additional_context | Extra context or scenario description. |
-| previous_utterance | The immediately preceding dialogue turn(s). |
-| context | General conversation context. |
-| free_messages | Free-form user or system messages. |
-| guided_messages | Messages generated via guided prompts. |
-| suggestions | Suggested responses from ConvAI2, Empathetic Dialogues, and Wizard of Wikipedia. |
-| guided_chosen_suggestions | Selected suggestions actually used in the conversation. |
-| label_candidates | Optional candidate labels (null in this dataset). |
+| personas | List of personas participating in the conversation |
+| additional_context | Extra context or scenario description |
+| previous_utterance | The immediately preceding dialogue turn(s) |
+| context | General conversation context |
+| free_messages | Free-form user or system messages |
+| guided_messages | Messages generated via guided prompts |
+| suggestions | Suggested responses from ConvAI2 Empathetic Dialogues and Wizard of Wikipedia |
+| guided_chosen_suggestions | Selected suggestions actually used in the conversation |
+| label_candidates | Optional candidate labels null in this dataset |
 
 ---
 
 ### Splits
 
 | Split | Examples | Size (bytes) | Description |
-|:------|----------:|-------------:|:-------------|
+|:------|----------|-------------|:-------------|
 | Train | 4096 | 9201244 | Used for model training |
 | Validation | 723 | 1629426 | Used for validation and tuning |