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README.md

@@ -25,13 +25,13 @@ dataset_info:
     sequence: string
   splits:
   - name: train
-    num_bytes: 9201244
+    num_bytes: 8990720
     num_examples: 4096
   - name: validation
-    num_bytes: 1629426
+    num_bytes: 1601536
     num_examples: 723
-  download_size: 5915015
-  dataset_size: 10830670
+  download_size: 10600448
+  dataset_size: 10592256
 configs:
 - config_name: default
   data_files:
@@ -46,17 +46,46 @@ task_categories:
 - text-generation
 ---
 
+## Compatibility Update
+
+This repository is a compatibility-fixed version of the original **Blended Skill Talk** dataset.
+
+The original dataset can be found at:
+
+- Original Hugging Face dataset: https://huggingface.co/datasets/anezatra/blended-skill-talk
+
+This version was created to maintain compatibility with newer versions of the Hugging Face `datasets` library.
+
+### Changes from the Original Dataset
+
+The following changes were made:
+
+- Removed the unused `label_candidates` column.
+- Removed the invalid `label_candidates` feature definition (`sequence: null`) that caused schema parsing failures.
+- Re-exported the dataset Parquet files with a corrected schema.
+- Updated dataset metadata to match the exported files.
+
+No conversation examples were modified.
+
+No examples were added or removed.
+
+The dataset content remains the same as the original release.
+
+---
+
 # 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  
+Blended Skill Talk is a conversational dataset designed to train and evaluate dialogue systems capable of combining multiple conversational skills.
+
+The dataset combines persona-based conversation, empathetic dialogue, and knowledge-grounded conversation elements to encourage models to produce engaging, context-aware responses.
 
-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 dataset incorporates information from ConvAI2, EmpatheticDialogues, and Wizard of Wikipedia.
 
 ---
 
-## Data Structure
+## Data Structure (Updated)
 
 ### Fields
 
@@ -69,32 +98,38 @@ The conversations are designed to measure a full range of technical competencies
 | 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 |
+| guided_chosen_suggestions | Selected guided suggestions associated with the conversation |
 
 ---
 
 ### Splits
 
 | Split | Examples | Size (bytes) | Description |
-|:------|----------|-------------|:-------------|
-| Train | 4096 | 9201244 | Used for model training |
-| Validation | 723 | 1629426 | Used for validation and tuning |
+|:------|----------|--------------|-------------|
+| Train | 4096 | 8990720 | Used for model training |
+| Validation | 723 | 1601536 | Used for validation and tuning |
 
-**Total dataset size:** 10830670 bytes  
+**Total dataset size:** 10592256 bytes  
 **Total number of dialogues:** 4819
 
 ---
 
-## Usage Example
+## Loading This Version
 
 ```python
 from datasets import load_dataset
 
-ds = load_dataset("anezatra/blended-skill-talk", split="train")
-print(ds[0])
+dataset = load_dataset(
+    "TutorialGuide/blended-skill-talk-fixed"
+)
+
+print(dataset)
 ```
 
+---
+
 ## References
 
+Original Hugging Face dataset: https://huggingface.co/datasets/anezatra/blended-skill-talk
+
 Smith, E. M., Williamson, M., Shuster, K., Weston, J., & Boureau, Y. L. (2020). Can You Put it All Together: Evaluating Conversational Agents' Ability to Blend Skills. *arXiv preprint arXiv:2004.08449*. ([https://arxiv.org/abs/2004.08449](https://arxiv.org/abs/2004.08449))