| | ---
|
| | configs:
|
| | - config_name: subset2_type4
|
| | data_files:
|
| | - split: test
|
| | path: subset2_type4.csv
|
| |
|
| | - config_name: subset2_type5a
|
| | data_files:
|
| | - split: test
|
| | path: subset2_type5a.csv
|
| |
|
| | - config_name: subset2_type5p
|
| | data_files:
|
| | - split: test
|
| | path: subset2_type5p.csv
|
| |
|
| | - config_name: subset3_type4
|
| | data_files:
|
| | - split: test
|
| | path: subset3_type4.csv
|
| |
|
| | - config_name: subset3_type5a
|
| | data_files:
|
| | - split: test
|
| | path: subset3_type5a.csv
|
| |
|
| | - config_name: subset3_type5p
|
| | data_files:
|
| | - split: test
|
| | path: subset3_type5p.csv
|
| |
|
| | - config_name: subset4_type4
|
| | data_files:
|
| | - split: test
|
| | path: subset4_type4.csv
|
| |
|
| | - config_name: subset4_type5a
|
| | data_files:
|
| | - split: test
|
| | path: subset4_type5a.csv
|
| |
|
| | - config_name: subset4_type5p
|
| | data_files:
|
| | - split: test
|
| | path: subset4_type5p.csv
|
| | ---
|
| |
|
| | # Proviso-NLI Dataset
|
| |
|
| | A Natural Language Inference (NLI) dataset with examples constructed using different trigger types.
|
| |
|
| | ## Dataset Summary
|
| |
|
| | This dataset contains Natural Language Inference examples across three subsets (2, 3, and 4) with three different trigger types:
|
| | - **Type 4**: Possessive triggers
|
| | - **Type 5a**: Again triggers
|
| | - **Type 5p**: Possessive triggers
|
| |
|
| | The dataset is designed for evaluating NLI models.
|
| |
|
| | ## Dataset Structure
|
| |
|
| | ### Data Fields
|
| |
|
| | - `premise` (string): The premise sentence
|
| | - `hypothesis` (string): The hypothesis sentence
|
| | - `gold_label` (string): Gold standard label (E, C, or N for Entailment, Contradiction, Neutral)
|
| | - `trigger` (string): The type of trigger used (e.g., "possessive", "again")
|
| | - `SetID` (int): Set identifier
|
| | - `UID` (string): Unique identifier
|
| | - `trigger_words` (string): The specific trigger words in the example
|
| | - `premise_type` (string): The type of premise (e.g., "Attitude Premise", "Conjunction Premise")
|
| |
|
| | ### Splits
|
| |
|
| | The dataset is organized into 9 subsets:
|
| |
|
| | | Subset | Type | Description |
|
| | |--------|------|-------------|
|
| | | `subset2_type4` | Possessive | Subset 2 - Possessive triggers |
|
| | | `subset2_type5a` | Again | Subset 2 - Again triggers |
|
| | | `subset2_type5p` | Possessive | Subset 2 - Possessive triggers |
|
| | | `subset3_type4` | Possessive | Subset 3 - Possessive triggers |
|
| | | `subset3_type5a` | Again | Subset 3 - Again triggers |
|
| | | `subset3_type5p` | Possessive | Subset 3 - Possessive triggers |
|
| | | `subset4_type4` | Possessive | Subset 4 - Possessive triggers |
|
| | | `subset4_type5a` | Again | Subset 4 - Again triggers |
|
| | | `subset4_type5p` | Possessive | Subset 4 - Possessive triggers |
|
| |
|
| | ## Loading the Dataset
|
| |
|
| | ```python
|
| | from datasets import load_dataset
|
| |
|
| | # Load a specific subset
|
| | dataset = load_dataset("ConditionalNLI/PROVISER", name="subset2_type4")
|
| |
|
| | # Load all subsets
|
| | datasets = load_dataset("ConditionalNLI/PROVISER")
|
| | ```
|
| |
|
