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--- |
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language: |
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- tr |
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paperswithcode_id: winogrande |
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pretty_name: WinoGrande |
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dataset_info: |
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- config_name: winogrande_xs |
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features: |
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- name: sentence |
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dtype: string |
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- name: option1 |
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dtype: string |
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- name: option2 |
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dtype: string |
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- name: answer |
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dtype: string |
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splits: |
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- name: train |
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num_bytes: 20704 |
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num_examples: 160 |
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- name: test |
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num_bytes: 227649 |
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num_examples: 1767 |
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- name: validation |
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num_bytes: 164199 |
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num_examples: 1267 |
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download_size: 3395492 |
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dataset_size: 412552 |
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- config_name: winogrande_s |
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features: |
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- name: sentence |
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dtype: string |
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- name: option1 |
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dtype: string |
|
- name: option2 |
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dtype: string |
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- name: answer |
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dtype: string |
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splits: |
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- name: train |
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num_bytes: 82308 |
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num_examples: 640 |
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- name: test |
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num_bytes: 227649 |
|
num_examples: 1767 |
|
- name: validation |
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num_bytes: 164199 |
|
num_examples: 1267 |
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download_size: 3395492 |
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dataset_size: 474156 |
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- config_name: winogrande_m |
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features: |
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- name: sentence |
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dtype: string |
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- name: option1 |
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dtype: string |
|
- name: option2 |
|
dtype: string |
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- name: answer |
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dtype: string |
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splits: |
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- name: train |
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num_bytes: 329001 |
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num_examples: 2558 |
|
- name: test |
|
num_bytes: 227649 |
|
num_examples: 1767 |
|
- name: validation |
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num_bytes: 164199 |
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num_examples: 1267 |
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download_size: 3395492 |
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dataset_size: 720849 |
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- config_name: winogrande_l |
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features: |
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- name: sentence |
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dtype: string |
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- name: option1 |
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dtype: string |
|
- name: option2 |
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dtype: string |
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- name: answer |
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dtype: string |
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splits: |
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- name: train |
|
num_bytes: 1319576 |
|
num_examples: 10234 |
|
- name: test |
|
num_bytes: 227649 |
|
num_examples: 1767 |
|
- name: validation |
|
num_bytes: 164199 |
|
num_examples: 1267 |
|
download_size: 3395492 |
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dataset_size: 1711424 |
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- config_name: winogrande_xl |
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features: |
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- name: sentence |
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dtype: string |
|
- name: option1 |
|
dtype: string |
|
- name: option2 |
|
dtype: string |
|
- name: answer |
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dtype: string |
|
splits: |
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- name: train |
|
num_bytes: 5185832 |
|
num_examples: 40398 |
|
- name: test |
|
num_bytes: 227649 |
|
num_examples: 1767 |
|
- name: validation |
|
num_bytes: 164199 |
|
num_examples: 1267 |
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download_size: 3395492 |
|
dataset_size: 5577680 |
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- config_name: winogrande_debiased |
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features: |
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- name: sentence |
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dtype: string |
|
- name: option1 |
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dtype: string |
|
- name: option2 |
|
dtype: string |
|
- name: answer |
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dtype: string |
|
splits: |
|
- name: train |
|
num_bytes: 1203420 |
|
num_examples: 9248 |
|
- name: test |
|
num_bytes: 227649 |
|
num_examples: 1767 |
|
- name: validation |
|
num_bytes: 164199 |
|
num_examples: 1267 |
|
download_size: 3395492 |
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dataset_size: 1595268 |
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configs: |
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- config_name: winogrande_debiased |
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data_files: |
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- split: train |
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path: winogrande_debiased/*_train-* |
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- split: test |
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path: winogrande_debiased/*_test-* |
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- split: validation |
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path: winogrande_debiased/*_validation-* |
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- config_name: winogrande_m |
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data_files: |
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- split: train |
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path: winogrande_m/winogrande_m_train-* |
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- split: test |
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path: winogrande_m/winogrande_m_test-* |
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- split: validation |
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path: winogrande_m/winogrande_m_validation-* |
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license: apache-2.0 |
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--- |
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|
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# Dataset Card for "winogrande" |
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This Dataset is part of a series of datasets aimed at advancing Turkish LLM Developments by establishing rigid Turkish benchmarks to evaluate the performance of LLM's Produced in the Turkish Language. |
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malhajar/winogrande-tr is a translated version of [`winogrande`]( https://huggingface.co/datasets/winogrande) aimed specifically to be used in the [`OpenLLMTurkishLeaderboard`](https://huggingface.co/spaces/malhajar/OpenLLMTurkishLeaderboard) |
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**Translated by:** [`Mohamad Alhajar`](https://www.linkedin.com/in/muhammet-alhajar/) |
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### Dataset Summary |
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WinoGrande is a new collection of 44k problems, inspired by Winograd Schema Challenge (Levesque, Davis, and Morgenstern |
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2011), but adjusted to improve the scale and robustness against the dataset-specific bias. Formulated as a |
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fill-in-a-blank task with binary options, the goal is to choose the right option for a given sentence which requires |
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commonsense reasoning. |
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### Supported Tasks and Leaderboards |
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aimed specifically to be used in the [`OpenLLMTurkishLeaderboard`](https://huggingface.co/spaces/malhajar/OpenLLMTurkishLeaderboard) |
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### Languages |
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Turkish |
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## Dataset Structure |
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### Data Instances |
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#### winogrande_debiased |
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- **Size of downloaded dataset files:** 3.40 MB |
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- **Size of the generated dataset:** 1.59 MB |
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- **Total amount of disk used:** 4.99 MB |
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An example of 'train' looks as follows. |
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``` |
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|
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``` |
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#### winogrande_l |
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- **Size of downloaded dataset files:** 3.40 MB |
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- **Size of the generated dataset:** 1.71 MB |
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- **Total amount of disk used:** 5.11 MB |
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An example of 'validation' looks as follows. |
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``` |
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|
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``` |
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#### winogrande_m |
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- **Size of downloaded dataset files:** 3.40 MB |
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- **Size of the generated dataset:** 0.72 MB |
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- **Total amount of disk used:** 4.12 MB |
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An example of 'validation' looks as follows. |
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``` |
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|
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``` |
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#### winogrande_s |
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- **Size of downloaded dataset files:** 3.40 MB |
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- **Size of the generated dataset:** 0.47 MB |
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- **Total amount of disk used:** 3.87 MB |
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An example of 'validation' looks as follows. |
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``` |
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|
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``` |
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#### winogrande_xl |
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|
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- **Size of downloaded dataset files:** 3.40 MB |
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- **Size of the generated dataset:** 5.58 MB |
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- **Total amount of disk used:** 8.98 MB |
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An example of 'train' looks as follows. |
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``` |
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``` |
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### Data Fields |
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The data fields are the same among all splits. |
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#### winogrande_debiased |
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- `sentence`: a `string` feature. |
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- `option1`: a `string` feature. |
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- `option2`: a `string` feature. |
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- `answer`: a `string` feature. |
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|
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#### winogrande_l |
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- `sentence`: a `string` feature. |
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- `option1`: a `string` feature. |
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- `option2`: a `string` feature. |
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- `answer`: a `string` feature. |
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|
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#### winogrande_m |
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- `sentence`: a `string` feature. |
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- `option1`: a `string` feature. |
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- `option2`: a `string` feature. |
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- `answer`: a `string` feature. |
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|
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#### winogrande_s |
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- `sentence`: a `string` feature. |
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- `option1`: a `string` feature. |
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- `option2`: a `string` feature. |
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- `answer`: a `string` feature. |
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|
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#### winogrande_xl |
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- `sentence`: a `string` feature. |
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- `option1`: a `string` feature. |
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- `option2`: a `string` feature. |
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- `answer`: a `string` feature. |
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### Data Splits |
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| name |train|validation|test| |
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|-------------------|----:|---------:|---:| |
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|winogrande_debiased| 9248| 1267|1767| |
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|winogrande_l |10234| 1267|1767| |
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|winogrande_m | 2558| 1267|1767| |
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|winogrande_s | 640| 1267|1767| |
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|winogrande_xl |40398| 1267|1767| |
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|winogrande_xs | 160| 1267|1767| |
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### Citation Information |
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``` |
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@InProceedings{ai2:winogrande, |
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title = {WinoGrande: An Adversarial Winograd Schema Challenge at Scale}, |
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authors={Keisuke, Sakaguchi and Ronan, Le Bras and Chandra, Bhagavatula and Yejin, Choi |
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}, |
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year={2019} |
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} |
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` |
