Update README.md

README.md

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 ---
+language:
+- tr
+paperswithcode_id: winogrande
+pretty_name: WinoGrande
+dataset_info:
+- config_name: winogrande_xs
+  features:
+  - name: sentence
+    dtype: string
+  - name: option1
+    dtype: string
+  - name: option2
+    dtype: string
+  - name: answer
+    dtype: string
+  splits:
+  - name: train
+    num_bytes: 20704
+    num_examples: 160
+  - name: test
+    num_bytes: 227649
+    num_examples: 1767
+  - name: validation
+    num_bytes: 164199
+    num_examples: 1267
+  download_size: 3395492
+  dataset_size: 412552
+- config_name: winogrande_s
+  features:
+  - name: sentence
+    dtype: string
+  - name: option1
+    dtype: string
+  - name: option2
+    dtype: string
+  - name: answer
+    dtype: string
+  splits:
+  - name: train
+    num_bytes: 82308
+    num_examples: 640
+  - name: test
+    num_bytes: 227649
+    num_examples: 1767
+  - name: validation
+    num_bytes: 164199
+    num_examples: 1267
+  download_size: 3395492
+  dataset_size: 474156
+- config_name: winogrande_m
+  features:
+  - name: sentence
+    dtype: string
+  - name: option1
+    dtype: string
+  - name: option2
+    dtype: string
+  - name: answer
+    dtype: string
+  splits:
+  - name: train
+    num_bytes: 329001
+    num_examples: 2558
+  - name: test
+    num_bytes: 227649
+    num_examples: 1767
+  - name: validation
+    num_bytes: 164199
+    num_examples: 1267
+  download_size: 3395492
+  dataset_size: 720849
+- config_name: winogrande_l
+  features:
+  - name: sentence
+    dtype: string
+  - name: option1
+    dtype: string
+  - name: option2
+    dtype: string
+  - name: answer
+    dtype: string
+  splits:
+  - 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
+  dataset_size: 1711424
+- config_name: winogrande_xl
+  features:
+  - name: sentence
+    dtype: string
+  - name: option1
+    dtype: string
+  - name: option2
+    dtype: string
+  - name: answer
+    dtype: string
+  splits:
+  - name: train
+    num_bytes: 5185832
+    num_examples: 40398
+  - name: test
+    num_bytes: 227649
+    num_examples: 1767
+  - name: validation
+    num_bytes: 164199
+    num_examples: 1267
+  download_size: 3395492
+  dataset_size: 5577680
+- config_name: winogrande_debiased
+  features:
+  - name: sentence
+    dtype: string
+  - name: option1
+    dtype: string
+  - name: option2
+    dtype: string
+  - name: answer
+    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
+  dataset_size: 1595268
 license: apache-2.0
 ---
+
+# Dataset Card for "winogrande"
+
+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.
+# Dataset Card for arc-tr
+
+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) 
+This Dataset contains rigid tests extracted from the paper [`Think you have Solved Question Answering? `](https://arxiv.org/abs/1803.05457)
+
+**Developed by:** [`Mohamad Alhajar`](https://www.linkedin.com/in/muhammet-alhajar/) 
+
+
+## Dataset Description
+
+- **Homepage:** [https://leaderboard.allenai.org/winogrande/submissions/get-started](https://leaderboard.allenai.org/winogrande/submissions/get-started)
+- **Repository:** [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
+- **Paper:** [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
+- **Point of Contact:** [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
+- **Size of downloaded dataset files:** 20.37 MB
+- **Size of the generated dataset:** 10.50 MB
+- **Total amount of disk used:** 30.87 MB
+
+### Dataset Summary
+
+WinoGrande is a new collection of 44k problems, inspired by Winograd Schema Challenge (Levesque, Davis, and Morgenstern
+ 2011), but adjusted to improve the scale and robustness against the dataset-specific bias. Formulated as a
+fill-in-a-blank task with binary options, the goal is to choose the right option for a given sentence which requires
+commonsense reasoning.
+
+### Supported Tasks and Leaderboards
+
+aimed specifically to be used in the [`OpenLLMTurkishLeaderboard`](https://huggingface.co/spaces/malhajar/OpenLLMTurkishLeaderboard)
+
+### Languages
+
+Turkish
+
+## Dataset Structure
+
+### Data Instances
+
+#### winogrande_debiased
+
+- **Size of downloaded dataset files:** 3.40 MB
+- **Size of the generated dataset:** 1.59 MB
+- **Total amount of disk used:** 4.99 MB
+
+An example of 'train' looks as follows.
+```
+
+```
+
+#### winogrande_l
+
+- **Size of downloaded dataset files:** 3.40 MB
+- **Size of the generated dataset:** 1.71 MB
+- **Total amount of disk used:** 5.11 MB
+
+An example of 'validation' looks as follows.
+```
+
+```
+
+#### winogrande_m
+
+- **Size of downloaded dataset files:** 3.40 MB
+- **Size of the generated dataset:** 0.72 MB
+- **Total amount of disk used:** 4.12 MB
+
+An example of 'validation' looks as follows.
+```
+
+```
+
+#### winogrande_s
+
+- **Size of downloaded dataset files:** 3.40 MB
+- **Size of the generated dataset:** 0.47 MB
+- **Total amount of disk used:** 3.87 MB
+
+An example of 'validation' looks as follows.
+```
+
+```
+
+#### winogrande_xl
+
+- **Size of downloaded dataset files:** 3.40 MB
+- **Size of the generated dataset:** 5.58 MB
+- **Total amount of disk used:** 8.98 MB
+
+An example of 'train' looks as follows.
+```
+
+```
+
+### Data Fields
+
+The data fields are the same among all splits.
+
+#### winogrande_debiased
+- `sentence`: a `string` feature.
+- `option1`: a `string` feature.
+- `option2`: a `string` feature.
+- `answer`: a `string` feature.
+
+#### winogrande_l
+- `sentence`: a `string` feature.
+- `option1`: a `string` feature.
+- `option2`: a `string` feature.
+- `answer`: a `string` feature.
+
+#### winogrande_m
+- `sentence`: a `string` feature.
+- `option1`: a `string` feature.
+- `option2`: a `string` feature.
+- `answer`: a `string` feature.
+
+#### winogrande_s
+- `sentence`: a `string` feature.
+- `option1`: a `string` feature.
+- `option2`: a `string` feature.
+- `answer`: a `string` feature.
+
+#### winogrande_xl
+- `sentence`: a `string` feature.
+- `option1`: a `string` feature.
+- `option2`: a `string` feature.
+- `answer`: a `string` feature.
+
+### Data Splits
+
+|       name        |train|validation|test|
+|-------------------|----:|---------:|---:|
+|winogrande_debiased| 9248|      1267|1767|
+|winogrande_l       |10234|      1267|1767|
+|winogrande_m       | 2558|      1267|1767|
+|winogrande_s       |  640|      1267|1767|
+|winogrande_xl      |40398|      1267|1767|
+|winogrande_xs      |  160|      1267|1767|
+
+
+### Citation Information
+
+```
+@InProceedings{ai2:winogrande,
+title = {WinoGrande: An Adversarial Winograd Schema Challenge at Scale},
+authors={Keisuke, Sakaguchi and Ronan, Le Bras and Chandra, Bhagavatula and Yejin, Choi
+},
+year={2019}
+}
+
+`