| --- |
| license: mit |
| task_categories: |
| - text-generation |
| language: |
| - en |
| tags: |
| - xai |
| - attribution |
| - decoder |
| - short-context |
| size_categories: |
| - 1K<n<10K |
| --- |
| |
| # Orca-Mini - Short Context (<100 tokens) |
|
|
| This dataset is a filtered version of [ermiaazarkhalili/orca-mini-v1-high-prob-qwen-0.5b-10k](https://huggingface.co/datasets/ermiaazarkhalili/orca-mini-v1-high-prob-qwen-0.5b-10k) |
| containing only samples with **fewer than 100 tokens**. |
|
|
| ## Dataset Description |
|
|
| This dataset is designed for efficient XAI (Explainable AI) attribution evaluation on decoder models. |
| Short context samples allow for faster evaluation while maintaining meaningful attribution analysis. |
|
|
| ### Statistics |
|
|
| - **Total samples**: 5,000 |
| - **Token count range**: 5 - 99 |
| - **Mean token count**: 23.1 (std: 11.8) |
| - **Median token count**: 21.0 |
|
|
| ### Columns |
|
|
| | Column | Description | |
| |--------|-------------| |
| | `sentence_prefix` | Text prefix before predicted token | |
| | `predicted_token` | Model's top-1 prediction | |
| | `actual_token` | Ground truth token | |
| | `probability` | Prediction confidence (0-1) | |
|
|
| ### Source Dataset |
|
|
| This dataset was created by filtering [ermiaazarkhalili/orca-mini-v1-high-prob-qwen-0.5b-10k](https://huggingface.co/datasets/ermiaazarkhalili/orca-mini-v1-high-prob-qwen-0.5b-10k) |
| with the following criteria: |
| - Token length: 5 <= tokens < 100 |
| - Tokenizer: `Qwen/Qwen2.5-0.5B` |
|
|
| ### Usage |
|
|
| ```python |
| from datasets import load_dataset |
| |
| dataset = load_dataset("ermiaazarkhalili/orca-mini-short-100tok", split="train") |
| print(f"Loaded {len(dataset)} samples") |
| ``` |
|
|
| ### Citation |
|
|
| If you use this dataset, please cite the ALTI-XAI framework. |
|
|
| ### License |
|
|
| MIT License |
|
|
