---
license: cc-by-nc-sa-4.0
task_categories:
- text-classification
language:
- it
pretty_name: AMI 2020
size_categories:
- 1K<n<10K
configs:
- config_name: raw
  data_files:
  - split: train
    path: raw/training.tsv
  - split: test
    path: raw/test.tsv
- config_name: synthetic
  data_files:
  - split: train
    path: synthetic/training.tsv
  - split: test
    path: synthetic/test.tsv
---
# Dataset Card for Dataset Name

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The Automatic Misogyny Identification was part of the 7th evaluation campaign EVALITA 2020. Please refer to the official [website](https://amievalita2020.github.io/#about) for more details.
- Data is also available on the [ELG website](https://live.european-language-grid.eu/catalogue/corpus/7005/overview/).
- Data is released under the CC-BY NC SA 4.0

The rest of the dataset card is WIP :)


## Dataset Details

### Dataset Description

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- **Curated by:** [More Information Needed]
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- **Language(s) (NLP):** Italian
- **License:** CC-BY NC SA 4.0

### Dataset Sources [optional]

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- **Repository:** [More Information Needed]
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## Uses

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### Direct Use

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### Out-of-Scope Use

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## Dataset Structure

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## Dataset Creation

### Curation Rationale

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### Source Data

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#### Data Collection and Processing

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#### Who are the source data producers?

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### Annotations [optional]

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#### Annotation process

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#### Who are the annotators?

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#### Personal and Sensitive Information

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## Bias, Risks, and Limitations

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### Recommendations

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Users should be made aware of the risks, biases and limitations of the dataset. More information needed for further recommendations.

## Citation [optional]

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**BibTeX:**

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**APA:**

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## Glossary [optional]

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