Update README.md

README.md

@@ -15,10 +15,60 @@ source_datasets:
 This page hosts the dataset introduced in the paper ["Dialog2Flow: Pre-training Soft-Contrastive Action-Driven Sentence Embeddings for Automatic Dialog Flow Extraction"](https://arxiv.org/abs/2410.18481) published in the EMNLP 2024 main conference.
 The dataset is composed of 20 task-oriented datasets in which all dialog act names have been standirized.
 
-## Stats
+## Utterances/Sentences Dataset
 
 WIP
 
-## How to use
 
-WIP
+## Individual Task-Oriented Dialog Datasets
+
+WIP
+
+### Stats and Licenses
+
+| Name               | Train  | Validation | Test  | Total  | License                                                     |
+|--------------------|--------|------------|-------|--------|-------------------------------------------------------------|
+| ABCD               | 8034   | 1004       | 1004  | 10042  | MIT License                                                 |
+| BiTOD              | 2952   | 295        | 442   | 3689   | Apache License 2.0                                          |
+| Disambiguation     | 8433   | 999        | 1000  | 10432  | MiT License                                                 |
+| DSTC2-Clean        | 1612   | 506        | 1117  | 3235   | GNU GENERAL PUBLIC LICENSE Version 3, 29 June 2007          |
+| FRAMES             | 1329   | 0          | 40    | 1369   | GNU GENERAL PUBLIC LICENSE Version 3, 29 June 2007          |
+| GECOR              | 676    | 0          | 0     | 676    | CC BY 4.0                                                   |
+| HDSA-Dialog        | 8438   | 1000       | 1000  | 10438  | MIT License                                                 |
+| KETOD              | 4247   | 545        | 532   | 5324   | MiT License                                                 |
+| MS-DC              | 10000  | 0          | 0     | 10000  | MICROSOFT RESEARCH LICENSE TERMS                            |
+| MulDoGO            | 59939  | 1150       | 2319  | 63408  | Community Data License Agreement – Permissive – Version 1.0 |
+| MultiWOZ_2.1       | 8434   | 999        | 1000  | 10433  | MiT License                                                 |
+| MULTIWOZ2_2        | 8437   | 1000       | 1000  | 10437  | Mit License                                                 |
+| SGD                | 16142  | 2482       | 4201  | 22825  | CC BY-SA 4.0                                                |
+| SimJointGEN        | 100000 | 10000      | 10000 | 120000 | No license                                                  |
+| SimJointMovie      | 384    | 120        | 264   | 768    | No license                                                  |
+| SimJointRestaurant | 1116   | 349        | 775   | 2240   | No license                                                  |
+| Taskmaster1        | 6170   | 769        | 769   | 7708   | Attribution 4.0 International (CC BY 4.0)                   |
+| Taskmaster2        | 17304  | 0          | 0     | 17304  | Creative Commons Attribution 4.0 License (CC BY 4.0)        |
+| Taskmaster3        | 22724  | 17019      | 17903 | 57646  | Creative Commons Attribution 4.0 License (CC BY 4.0)        |
+| WOZ2_0             | 600    | 200        | 400   | 1200   | Apache License 2.0                                          |
+
+
+## Citing & Authors
+
+
+```bibtex
+@inproceedings{burdisso-etal-2024-dialog2flow,
+    title = "Dialog2Flow: Pre-training Soft-Contrastive Action-Driven Sentence Embeddings for Automatic Dialog Flow Extraction",
+    author = "Burdisso, Sergio  and
+      Madikeri, Srikanth  and
+      Motlicek, Petr",
+    booktitle = "Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing",
+    month = nov,
+    year = "2024",
+    address = "Miami",
+    publisher = "Association for Computational Linguistics",
+}
+```
+
+## License
+
+Changes performed
+Copyright (c) 2024 [Idiap Research Institute](https://www.idiap.ch/).
+MIT License.