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2.21 kB
| dataset_info: | |
| - config_name: default | |
| features: | |
| - name: id | |
| dtype: string | |
| - name: label | |
| dtype: string | |
| - name: label_text | |
| dtype: string | |
| - name: text | |
| dtype: string | |
| - name: lang | |
| dtype: string | |
| splits: | |
| - name: train | |
| num_bytes: 1056214 | |
| num_examples: 11514 | |
| - name: test | |
| num_bytes: 271925 | |
| num_examples: 2974 | |
| - name: validation | |
| num_bytes: 185181 | |
| num_examples: 2033 | |
| download_size: 519296 | |
| dataset_size: 1513320 | |
| - config_name: intent_with_options | |
| features: | |
| - name: id | |
| dtype: string | |
| - name: label | |
| dtype: string | |
| - name: label_text | |
| dtype: string | |
| - name: text | |
| dtype: string | |
| - name: lang | |
| dtype: string | |
| - name: options | |
| list: | |
| - name: label | |
| dtype: string | |
| - name: label_text | |
| dtype: string | |
| splits: | |
| - name: train | |
| num_bytes: 3305760 | |
| num_examples: 2974 | |
| download_size: 2966668 | |
| dataset_size: 3305760 | |
| configs: | |
| - config_name: default | |
| data_files: | |
| - split: train | |
| path: data/train-* | |
| - split: test | |
| path: data/test-* | |
| - split: validation | |
| path: data/validation-* | |
| - config_name: intent_with_options | |
| data_files: | |
| - split: train | |
| path: intent_with_options/train-* | |
| # Turkish Intent Routing Dataset | |
| This dataset is based on the Turkish subset of [`mteb/amazon_massive_intent`](https://huggingface.co/datasets/mteb/amazon_massive_intent). | |
| ## `intent_with_options` Configuration | |
| The `intent_with_options` configuration was created for multiple-choice intent routing evaluation. | |
| - Added Turkish descriptions (`label_text`) for each intent. | |
| - Used [`alibayram/embeddingmagibu-200m`](https://huggingface.co/alibayram/embeddingmagibu-200m) to calculate semantic similarity between user utterances and intent descriptions. | |
| - Selected the 9 most similar incorrect intents as distractors for each example. | |
| - Included the correct intent, resulting in 10 options per example. | |
| - Randomly shuffled the options | |
| ## Usage | |
| ```python | |
| from datasets import load_dataset | |
| dataset = load_dataset( | |
| "canbingol/amazon_massive_intent_tr", | |
| "intent_with_options" | |
| ) | |
| ``` | |
| This configuration is intended for evaluating how well models distinguish between semantically similar intents in Turkish. | |