Datasets:
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README.md
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---
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license: cc-by-4.0
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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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- linguistics
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- morphology
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- case-alignment
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size_categories:
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- n<1K
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configs:
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- config_name: intransitive
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data_files:
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- split: train
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path: "intransitive/train.csv"
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- config_name: transitive-s1-subj
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data_files:
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- split: train
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path: "transitive-s1-subj/train.csv"
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- config_name: transitive-s1-obj
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data_files:
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- split: train
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path: "transitive-s1-obj/train.csv"
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- config_name: transitive-s2-subj
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data_files:
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- split: train
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path: "transitive-s2-subj/train.csv"
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- config_name: transitive-s2-obj
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data_files:
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- split: train
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path: "transitive-s2-obj/train.csv"
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- config_name: transitive-s3-subj
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data_files:
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- split: train
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path: "transitive-s3-subj/train.csv"
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- config_name: transitive-s3-obj
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data_files:
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- split: train
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path: "transitive-s3-obj/train.parquet"
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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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## Dataset Structure
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### Configurations
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The dataset has 7 configurations corresponding to different grammatical contexts:
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- `intransitive`: Intransitive verb constructions
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- `transitive-s1-subj`: Series 1 transitive verbs, subject position
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- `transitive-s1-obj`: Series 1 transitive verbs, object position
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- `transitive-s2-subj`: Series 2 transitive verbs, subject position
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- `transitive-s2-obj`: Series 2 transitive verbs, object position
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- `transitive-s3-subj`: Series 3 transitive verbs, subject position
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- `transitive-s3-obj`: Series 3 transitive verbs, object position
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### Features
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Each configuration contains the following fields:
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- `sentence_id` (string): Unique identifier for the sentence
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- `match_id` (int32): Match identifier
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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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```
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