---
language: it
license: cc-by-sa-4.0
multilinguality: monolingual
task_categories: 
 - token-classification
tags:
 - Frame Parsing
 - Event Extraction
---

# EventNet-ITA - Dataset

## Dataset Description

### Dataset Summary

EventNet-ITA is a textual dataset annotated _full-text_ with semantic frames in Italian. It can be used to train multi-label models for Frame Parsing or Event Extraction. The schema consists of 205 semantic frames (and relative frame elements) and covers different macro-domains, like conflictual, social, communication, legal, geopolitical, economic and biographical events, among others. The dataset counts 53,843 annotated sentences and over 1,583,000 tokens.
For more details, please refer to the [paper](https://aclanthology.org/2024.latechclfl-1.9/).
If you want to requests the full documentation of the resource (guidelines, detailed frame-level description, lexical units and annotation examples), please fill out [this form](https://forms.gle/qAgZsf4La9qdzETn6) or email [the author](mailto:eventnetita@gmail.com).


### Annotation Process

EventNet-ITA has been annotated at token level, adopting the IOB2 style.
The annotation is full-text, i.e., for each sentence any frame mention and all relative frame elements (provided in the schema) are annotated.
Example:
```
La               O                 B-EVENT             O
costruzione      B-BUILDING        I-EVENT             O
della            B-CREATED_ENTITY  I-EVENT             O
fortificazione   I-CREATED_ENTITY  I-EVENT             O
alvitana         I-CREATED_ENTITY  I-EVENT             O
risale           O                 B-TEMPORAL_ORIGIN   O
dunque           O                 O                   O
all'             O                 B-ORIGIN            O
epoca            O                 I-ORIGIN            O
dell'            O                 I-ORIGIN            O
invasione        O                 I-ORIGIN            B-INVADING	
normanna         O                 I-ORIGIN            B-INVADER
.                O                 O                   O
```

By convention, in the dataset frame elements are represented as a concatenation of their label name with the name of the corresponding frame. For example, the `CREATED_ENTITY` frame element, associated to the `BUILDING` frame, will be represented as `CREATED_ENTITY*BUILDING`.


### Data format

The dataset is formatted as a two-column tsv. The first column contains the token, the second column contains all corresponding labels (both frames and frame elements), separated by `|`. This format makes the dataset ready-to-train with the MaChAmp [multi-sequence](https://github.com/machamp-nlp/machamp/blob/master/docs/multiseq.md) task type. Please see the [model page](https://huggingface.co/mrovera/eventnet-ita) for more details about training.


### Data Split

For the sake of reproducibility, the three folds used in the paper are provided.
The data split follows a 80/10/10 ratio and has been created in a stratified way. This means each train/dev/test set contains the same relative distribution of (frame) classes.



## Additional Information


### Licensing Information

The EventNet-ITA dataset is released under the CC-BY-SA-4.0 License. 

### Citation Information

If you use EventNet-ITA, please cite the following paper:

```
@inproceedings{rovera-2024-eventnet,
    title = "{E}vent{N}et-{ITA}: {I}talian Frame Parsing for Events",
    author = "Rovera, Marco",
    editor = "Bizzoni, Yuri  and
      Degaetano-Ortlieb, Stefania  and
      Kazantseva, Anna  and
      Szpakowicz, Stan",
    booktitle = "Proceedings of the 8th Joint SIGHUM Workshop on Computational Linguistics for Cultural Heritage, Social Sciences, Humanities and Literature (LaTeCH-CLfL 2024)",
    year = "2024",
    publisher = "Association for Computational Linguistics",
    pages = "77--90",
}

```