DailyDialog (Multi-turn Dialog)
Dialogues that reflect our daily communication way and cover various topics
By Huggingface Hub [source]
About this dataset
Welcome to the DailyDialog dataset, your gateway to unlocking conversation potential through multi-turn dialog experiences! Our dataset consists of conversations written by humans, which serve as a more accurate reflection of our day-to-day conversations than other datasets. Additionally, we have included manually labeled communication intentions and emotion fields in our data that can be used for advancing dialog systems.
Whether you’re a researcher looking for new approaches in dialog systems or someone simply curious about conversation dynamics from the perspective of computer science – this dataset is here to help! We invite you to explore and make use of this data for its full potential and advance the research field further.
Our three main files (train.csv, validation.csv, test.csv) each provide key columns such as dialogue , act , and emotion , enabling you to get an even deeper understanding into how effective conversations really work -- so what are you waiting for? Unlock your conversation potential today with DailyDialog!
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How to use the dataset
Welcome and thank you for your interest in the DailyDialog dataset! This dataset is designed to unlock conversation potential through multi-turn dialog experiences and provide a better understanding of conversations in our day-to-day lives. Whether you are a student, researcher, or just plain curious, this guide is here to help you get started with using the DailyDialog dataset for your own research or exploration.
The DailyDialog dataset includes three files: train.csv, validation.csv, and test.csv which all contain dialog, act and emotion fields that can be used by those who wish to evaluate existing approaches in the field of dialogue systems or perform new experiments on conversational models. All data found in this dataset is written by humans and thus contains less noise than other datasets typically seen online.
The first step when using this data set would be to familiarize yourself with the different fields found within each file:
- Dialog – The dialog field contains the conversation between two people (String).
- Act – The act field contains communication intentions of both parties involved within the dialogue (String).
- Emotion – The emotion field labels any emotions expressed during a particular dialogue (String).
Once you understand what each of these three fields mean it’s time to start exploring! You can use any programming language/software as well as statistical methods such as text analysis tools like RapidMiner or Natural Language Processing libraries like NLTK or Spacy to use these fields in order to further explore them individually or together on a more profound level. Additionally, if you are interested specifically into machine learning tasks there might also be possibilities such as generating new conversations from our data set (e.g., chat bots) using reinforcement learning models such deep learning architectures / neural networks for natural language understanding tasks etc..which can be explored too!
All said done we believe that the ability of unlocking underlying patterns embedded within real life conversations will enable researchers in various domains & research areas (e.g., AI / ML ones) enable their efforts great success & have an exciting journey :)
Research Ideas
- Developing a conversational AI system that can replicate authentic conversations by modeling the emotion and communication intentions present in the DailyDialog dataset.
- Creating a language-learning tool which can customize personalized dialogues based on the DailyDialog data to help foreign language learners get used to spoken dialogue.
- Utilizing the DailyDialog data to develop an interactive chatbot with customized responses and emotions, allowing users to learn more about their conversational skills through simulated conversations
Acknowledgements
If you use this dataset in your research, please credit the original authors.
Data Source
License
License: CC0 1.0 Universal (CC0 1.0) - Public Domain Dedication
No Copyright - You can copy, modify, distribute and perform the work, even for commercial purposes, all without asking permission. See Other Information.
Columns
File: validation.csv
| Column name |
Description |
| dialog |
The conversation turns in the dialogue. (Text) |
| act |
Labels for the communication intentions in each turn. (Categorical) |
| emotion |
Labels for the emotions present in the conversation. (Categorical) |
File: train.csv
| Column name |
Description |
| dialog |
The conversation turns in the dialogue. (Text) |
| act |
Labels for the communication intentions in each turn. (Categorical) |
| emotion |
Labels for the emotions present in the conversation. (Categorical) |
File: test.csv
| Column name |
Description |
| dialog |
The conversation turns in the dialogue. (Text) |
| act |
Labels for the communication intentions in each turn. (Categorical) |
| emotion |
Labels for the emotions present in the conversation. (Categorical) |
Acknowledgements
If you use this dataset in your research, please credit the original authors.
If you use this dataset in your research, please credit Huggingface Hub.