Spaces:
Running
Running
Commit
Β·
fe27499
1
Parent(s):
f590687
Update README.md
Browse files
README.md
CHANGED
|
@@ -1,17 +1,16 @@
|
|
| 1 |
---
|
| 2 |
-
title:
|
| 3 |
-
emoji:
|
| 4 |
colorFrom: green
|
| 5 |
-
colorTo:
|
| 6 |
sdk: static
|
| 7 |
pinned: false
|
| 8 |
---
|
| 9 |
|
| 10 |
|
| 11 |
-
DReAMy is
|
|
|
|
|
|
|
| 12 |
|
| 13 |
# Installation and usage
|
| 14 |
-
DReAMy can be easily installed via pip
|
| 15 |
-
```
|
| 16 |
-
pip install dreamy
|
| 17 |
-
```
|
|
|
|
| 1 |
---
|
| 2 |
+
title: DReAMy
|
| 3 |
+
emoji: π§ π΄ππ€
|
| 4 |
colorFrom: green
|
| 5 |
+
colorTo: green
|
| 6 |
sdk: static
|
| 7 |
pinned: false
|
| 8 |
---
|
| 9 |
|
| 10 |
|
| 11 |
+
DReAMy is an open-source toolkit to automatically analyse (for now only) textual dream reports. At the moment, annotations are exclusively based on the [Hall & Van de Castle](https://link.springer.com/chapter/10.1007/978-1-4899-0298-6_2) emotions framework, but we are looking forward to expanding our set applications. As for the theoretical backbone, DReAMy and its model are based on a fruitful collaboration between NLP and sleep research. For more details, please refer to the [Bertolini et al., 23](https://arxiv.org/abs/2302.14828) pre-print.
|
| 12 |
+
|
| 13 |
+
Here you can find the models used by DReAMy that were specifically tuned to analyse dream reports, as well as two datasets containing (non-annotated) dream reports from [DreamBank](https://www.dreambank.net/). Specialised models focus on two main tasks: sentiment analysis and character identification (i.e., NER), with both a multi-label classification and/or generation format.
|
| 14 |
|
| 15 |
# Installation and usage
|
| 16 |
+
DReAMy can be easily installed via `pip install dreamy`. We do recommend using a virtual environment with python 3.9 installed. If you wish to play/query a set of DReAMy's model, you can do so using the two Spaces below.
|
|
|
|
|
|
|
|
|