Dataset Card for ItaCoLA

Dataset Summary

The Italian Corpus of Linguistic Acceptability includes almost 10k sentences taken from linguistic literature with a binary annotation made by the original authors themselves. The work is inspired by the English Corpus of Linguistic Acceptability.

Disclaimer: The ItaCoLA corpus is hosted on Github by the Digital Humanities group at FBK. It was introduced in the article Monolingual and Cross-Lingual Acceptability Judgments with the Italian CoLA corpus by Daniela Trotta, Raffaele Guarasci, Elisa Leonardelli, Sara Tonelli

Supported Tasks and Leaderboards

Acceptability Classification

The following table is taken from Table 4 of the original paper, where an LSTM and a BERT model pretrained on the Italian languages are fine-tuned on the train split of the corpus and evaluated respectively on the test split (In-domain, in) and on the acceptability portion of the [AcCompl-it] corpus (Out-of-domain, out). Models are evaluated with accuracy (Acc.) and Matthews Correlation Coefficient (MCC) in both settings. Results are averaged over 10 runs with ±stdev. error bounds.

	in, Acc.	in, MCC	out, Acc.	out, MCC
LSTM	0.794	0.278 ± 0.029	0.605	0.147 ± 0.066
ITA-BERT	0.904	0.603 ± 0.022	0.683	0.198 ± 0.036

Languages

The language data in ItaCoLA is in Italian (BCP-47 it)

Dataset Structure

Data Instances

Scores Configuration

The scores configuration contains sentences with acceptability judgments. An example from the train split of the scores config (default) is provided below.

{
    "unique_id": 1,
    "source": "Graffi_1994",
    "acceptability": 1,
    "sentence": "Quest'uomo mi ha colpito."
}

The text is provided as-is, without further preprocessing or tokenization.

The fields are the following:

• unique_id: Unique identifier for the sentence across configurations.
• source: Original source for the sentence.
• acceptability: Binary score, 1 = acceptable, 0 = not acceptable.
• sentence: The evaluated sentence.

Phenomena Configuration

The phenomena configuration contains a sample of sentences from scores that has been manually annotated to denote the presence of 9 linguistic phenomena. An example from the train split is provided below:

{
    "unique_id": 1,
    "source": "Graffi_1994",
    "acceptability": 1,
    "sentence": "Quest'uomo mi ha colpito.",
    "cleft_construction": 0,
    "copular_construction": 0,
    "subject_verb_agreement": 1,
    "wh_islands_violations": 0,
    "simple": 0,
    "question": 0,
    "auxiliary": 1,
    "bind": 0,
    "indefinite_pronouns": 0
}

For each one of the new fields, the value of the binary score denotes the presence (1) or the absence (0) of the respective phenomenon. Refer to the original paper for a detailed description of each phenomenon.

Data Splits

config	train	test
scores	7801	975
phenomena	2088	-

Dataset Creation

Please refer to the original article Monolingual and Cross-Lingual Acceptability Judgments with the Italian CoLA corpus for additional information on dataset creation.

Additional Information

Dataset Curators

The authors are the curators of the original dataset. For problems or updates on this 🤗 Datasets version, please contact [email protected].

Licensing Information

No licensing information available.

Citation Information

Please cite the authors if you use these corpora in your work:

@inproceedings{trotta-etal-2021-monolingual-cross,
    title = "Monolingual and Cross-Lingual Acceptability Judgments with the {I}talian {C}o{LA} corpus",
    author = "Trotta, Daniela  and
      Guarasci, Raffaele  and
      Leonardelli, Elisa  and
      Tonelli, Sara",
    booktitle = "Findings of the Association for Computational Linguistics: EMNLP 2021",
    month = nov,
    year = "2021",
    address = "Punta Cana, Dominican Republic",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/2021.findings-emnlp.250",
    doi = "10.18653/v1/2021.findings-emnlp.250",
    pages = "2929--2940"
}