Update README.md

README.md

@@ -13,4 +13,57 @@ size_categories:
 tags:
 - multi-modal
 - dialogue
----
+---
+
+## Dataset Description
+
+- **Repository:** [Link to repo](https://github.com/VityaVitalich/IMAD)
+- **Paper:** [IMage Augmented Dialogue: IMAD](https://arxiv.org/abs/2305.10512v1)
+- **Point of Contact:** [Contacts Section](https://github.com/VityaVitalich/IMAD#contacts)
+
+### Dataset Summary
+
+This dataset contains data from the paper [IMage Augmented Dialogue: IMAD](https://arxiv.org/abs/2305.10512v1).
+The main feature of this dataset is the novelty of the task. It has been generated specifically for the purpose of image interpretation in a dialogue context.
+Some of the dialogue utterances have been replaced with images, allowing a generative model to be trained to restore the initial utterance.
+The dialogues are sourced from multiple dialogue datasets (DailyDialog, Commonsense, PersonaChat, MuTual, Empathetic Dialogues, Dream) and have been filtered using a technique described in the paper.
+A significant portion of the data has been labeled by assessors, resulting in a high inter-reliability score. The combination of these methods has led to a well-filtered dataset and consequently a high BLEU score.
+We hope that this dataset will be beneficial for the development of multi-modal deep learning.
+
+### Data Fields
+
+Dataset contains 5 fields
+
+- `image_id`: `string` that contains id of image in the full Unsplash Dataset
+- `source_data`: `string` that contains the name of source dataset
+- `utter`: `string` that contains utterance that was replaced in this dialogue with an image
+- `context`: `list` of `string` that contains sequence of utterances in the dialogue before the replaced utterance
+- `image_like`: `int` that shows if the data was collected with assessors or via filtering technique
+
+
+### Licensing Information
+
+Textual part of IMAD is licensed under [CC BY-NC-SA 4.0](https://creativecommons.org/licenses/by-nc-sa/4.0/). Full Dataset with images could be obtained with matching images_id with Unsplash full dataset
+or could be requested directly contacting authors.
+
+### Citation Information
+
+
+To cite this article please use this BibTex reference
+
+```bibtex
+@misc{viktor2023imad,
+      title={IMAD: IMage-Augmented multi-modal Dialogue}, 
+      author={Moskvoretskii Viktor and Frolov Anton and Kuznetsov Denis},
+      year={2023},
+      eprint={2305.10512},
+      archivePrefix={arXiv},
+      primaryClass={cs.CL}
+}
+```
+
+Or via MLA Citation
+
+```
+Viktor, Moskvoretskii et al. “IMAD: IMage-Augmented multi-modal Dialogue.” (2023).
+```