Datasets:
dataset_info:
features:
- name: personas
sequence: string
- name: additional_context
dtype: string
- name: previous_utterance
sequence: string
- name: context
dtype: string
- name: free_messages
sequence: string
- name: guided_messages
sequence: string
- name: suggestions
struct:
- name: convai2
sequence: string
- name: empathetic_dialogues
sequence: string
- name: wizard_of_wikipedia
sequence: string
- name: guided_chosen_suggestions
sequence: string
splits:
- name: train
num_bytes: 8990720
num_examples: 4096
- name: validation
num_bytes: 1601536
num_examples: 723
download_size: 10600448
dataset_size: 10592256
configs:
- config_name: default
data_files:
- split: train
path: data/train.parquet
- split: validation
path: data/validation.parquet
size_categories:
- 1K<n<10K
license: apache-2.0
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_candidatescolumn. - Removed the invalid
label_candidatesfeature 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
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 dataset incorporates information from ConvAI2, EmpatheticDialogues, and Wizard of Wikipedia.
Data Structure (Updated)
Fields
| 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 guided suggestions associated with the conversation |
Splits
| Split | Examples | Size (bytes) | Description |
|---|---|---|---|
| Train | 4096 | 8990720 | Used for model training |
| Validation | 723 | 1601536 | Used for validation and tuning |
Total dataset size: 10592256 bytes
Total number of dialogues: 4819
Loading This Version
from datasets import load_dataset
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)