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--- |
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license: cc-by-4.0 |
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task_categories: |
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- text-classification |
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language: |
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- ka |
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tags: |
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- case-alignment |
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- syntax |
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- morphology |
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size_categories: |
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- n<1K |
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configs: |
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- config_name: intransitive-nom-subj |
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data_files: |
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- split: train |
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path: intransitive-nom-subj/train-00000-of-00001.parquet |
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- config_name: transitive-dat-nom-obj |
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data_files: |
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- split: train |
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path: transitive-dat-nom-obj/train-00000-of-00001.parquet |
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- config_name: transitive-dat-nom-subj |
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data_files: |
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- split: train |
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path: transitive-dat-nom-subj/train-00000-of-00001.parquet |
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- config_name: transitive-erg-nom-obj |
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data_files: |
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- split: train |
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path: transitive-erg-nom-obj/train-00000-of-00001.parquet |
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- config_name: transitive-erg-nom-subj |
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data_files: |
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- split: train |
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path: transitive-erg-nom-subj/train-00000-of-00001.parquet |
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- config_name: transitive-nom-dat-obj |
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data_files: |
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- split: train |
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path: transitive-nom-dat-obj/train-00000-of-00001.parquet |
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- config_name: transitive-nom-dat-subj |
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data_files: |
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- split: train |
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path: transitive-nom-dat-subj/train-00000-of-00001.parquet |
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pretty_name: Georgian Case Alignment |
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dataset_info: |
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- config_name: intransitive-nom-subj |
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features: |
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- name: sentence_id |
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dtype: string |
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- name: match_id |
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dtype: int64 |
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- name: masked_text |
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dtype: string |
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- name: form_grammatical_nom |
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dtype: string |
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- name: form_ungrammatical_dat |
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dtype: string |
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- name: form_ungrammatical_erg |
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dtype: string |
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splits: |
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- name: train |
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num_bytes: 31748 |
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num_examples: 70 |
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download_size: 16577 |
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dataset_size: 31748 |
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- config_name: transitive-dat-nom-obj |
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features: |
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- name: sentence_id |
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dtype: string |
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- name: match_id |
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dtype: int64 |
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- name: masked_text |
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dtype: string |
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- name: form_grammatical_nom |
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dtype: string |
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- name: form_ungrammatical_dat |
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dtype: string |
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- name: form_ungrammatical_erg |
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dtype: string |
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splits: |
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- name: train |
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num_bytes: 21579 |
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num_examples: 50 |
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download_size: 13184 |
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dataset_size: 21579 |
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- config_name: transitive-dat-nom-subj |
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features: |
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- name: sentence_id |
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dtype: string |
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|
- name: match_id |
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|
dtype: int64 |
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|
- name: masked_text |
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dtype: string |
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- name: form_grammatical_dat |
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dtype: string |
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- name: form_ungrammatical_nom |
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dtype: string |
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- name: form_ungrammatical_erg |
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dtype: string |
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splits: |
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- name: train |
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num_bytes: 21297 |
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num_examples: 50 |
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download_size: 14380 |
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dataset_size: 21297 |
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|
- config_name: transitive-erg-nom-obj |
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features: |
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- name: sentence_id |
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|
dtype: string |
|
|
- name: match_id |
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|
dtype: int64 |
|
|
- name: masked_text |
|
|
dtype: string |
|
|
- name: form_grammatical_nom |
|
|
dtype: string |
|
|
- name: form_ungrammatical_dat |
|
|
dtype: string |
|
|
- name: form_ungrammatical_erg |
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dtype: string |
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splits: |
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- name: train |
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num_bytes: 20968 |
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num_examples: 50 |
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download_size: 13410 |
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dataset_size: 20968 |
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|
- config_name: transitive-erg-nom-subj |
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features: |
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- name: sentence_id |
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|
dtype: string |
|
|
- name: match_id |
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|
dtype: int64 |
|
|
- name: masked_text |
|
|
dtype: string |
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|
- name: form_grammatical_erg |
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|
dtype: string |
|
|
- name: form_ungrammatical_dat |
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|
dtype: string |
|
|
- name: form_ungrammatical_nom |
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|
dtype: string |
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splits: |
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- name: train |
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|
num_bytes: 23129 |
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num_examples: 50 |
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|
download_size: 13900 |
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|
dataset_size: 23129 |
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|
- config_name: transitive-nom-dat-obj |
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|
features: |
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|
- name: sentence_id |
|
|
dtype: string |
|
|
- name: match_id |
|
|
dtype: int64 |
|
|
- name: masked_text |
|
|
dtype: string |
|
|
- name: form_grammatical_dat |
|
|
dtype: string |
|
|
- name: form_ungrammatical_erg |
|
|
dtype: string |
|
|
- name: form_ungrammatical_nom |
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|
dtype: string |
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|
splits: |
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|
- name: train |
|
|
num_bytes: 26107 |
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|
num_examples: 50 |
|
|
download_size: 15270 |
|
|
dataset_size: 26107 |
|
|
- config_name: transitive-nom-dat-subj |
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features: |
|
|
- name: sentence_id |
|
|
dtype: string |
|
|
- name: match_id |
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|
dtype: int64 |
|
|
- name: masked_text |
|
|
dtype: string |
|
|
- name: form_grammatical_nom |
|
|
dtype: string |
|
|
- name: form_ungrammatical_dat |
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|
dtype: string |
|
|
- name: form_ungrammatical_erg |
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|
dtype: string |
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|
splits: |
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- name: train |
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num_bytes: 24116 |
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num_examples: 50 |
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download_size: 14873 |
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dataset_size: 24116 |
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|
--- |
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# Georgian Case-Alignment Dataset |
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This dataset contains examples for testing Georgian case alignment patterns across different verb series and argument structures. |
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It can be used for Targeted Syntactic Evaluation of language models on Georgian case alignment and was put together using [Grew-TSE](https://grew-tse.readthedocs.io/) applied to the [Georgian Language Corpus UD Treebank](https://universaldependencies.org/treebanks/ka_glc/index.html). |
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## Dataset Structure |
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This dataset contains multiple configurations, each representing a specific syntactic structure. All configurations include a training split with the corresponding data file. |
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| Config Name | Description | Data File | |
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|-----------------------------|-----------------------------------------------------|----------------------------------------| |
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| `intransitive-nom-subj` | Sentences with intransitive verbs (no objects), where the nominative subject is tested. | `intransitive-nom-subj/train.csv` | |
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| `transitive-nom-dat-subj` | Transitive sentences with a nominative subject and dative object, where the subject is tested. | `transitive-nom-dat-subj/train.csv` | |
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| `transitive-nom-dat-obj` | Transitive sentences with a nominative subject and dative object, where the object is tested. | `transitive-nom-dat-obj/train.csv` | |
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| `transitive-erg-nom-subj` | Transitive sentences with an ergative subject and nominative object, where the subject is tested. | `transitive-erg-nom-subj/train.csv` | |
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| `transitive-erg-nom-obj` | Transitive sentences with an ergative subject and nominative object, where the object is tested. | `transitive-erg-nom-obj/train.csv` | |
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| `transitive-dat-nom-subj` | Transitive sentences with a dative subject and nominative object, where the subject is tested. | `transitive-dat-nom-subj/train.csv` | |
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| `transitive-dat-nom-obj` | Transitive sentences with an ergative subject and nominative object, where the object is tested. | `transitive-dat-nom-obj/train.csv`| |
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### Features |
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Each configuration contains the following fields: |
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- `sentence_id` (string): Sentence ID from the [Georgian Language Corpus UD Treebank](https://universaldependencies.org/treebanks/ka_glc/index.html). |
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- `match_id` (int32): Target word is the ith word in the sentence, where punctuation is counted individually as words. |
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- `masked_text` (string): Sentence with masked argument |
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- `form_grammatical` (string): Grammatically correct case form |
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- `form_ungrammatical_*` (string): Ungrammatical case alternatives |
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**Note:** The specific ungrammatical forms vary by configuration (nom/dat/erg combinations). |
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## Usage |
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```python |
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from datasets import load_dataset |
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# Load a specific configuration |
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dataset = load_dataset("your-username/georgian-case-alignment", "intransitive") |
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# Load all configurations |
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dataset = load_dataset("your-username/georgian-case-alignment") |
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``` |
