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
- name: label_candidates
sequence: null
splits:
- name: train
num_bytes: 9201244
num_examples: 4096
- name: validation
num_bytes: 1629426
num_examples: 723
download_size: 5915015
dataset_size: 10830670
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: validation
path: data/validation-*
size_categories:
- 1K<n<10K
license: apache-2.0
task_categories:
- text-generation
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
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
Data Structure
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 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 |
Total dataset size: 10830670 bytes
Total number of dialogues: 4819
Usage Example
from datasets import load_dataset
ds = load_dataset("anezatra/blended-skill-talk", split="train")
print(ds[0])
References
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)