Updated dataset card (#1)

- Updated dataset card (a586eb750b08e419df6c9139fc6f5281c363befd)


Co-authored-by: Smirnova Alisa <[email protected]>

README.md

@@ -1,3 +1,67 @@
 ---
-license: cc-by-4.0
+annotations_creators:
+- crowdsourced
+language:
+- en
+language_creators:
+- crowdsourced
+license:
+- cc-by-4.0
+multilinguality:
+- monolingual
+pretty_name: WSDMCup2023
+size_categories:
+- 10K<n<100K
+source_datasets: []
+tags: []
+task_categories:
+- visual-question-answering
+task_ids:
+- visual-question-answering
+dataset_info:
+  features:
+  - name: image
+    dtype: string
+  - name: width
+    dtype: int64
+  - name: height
+    dtype: int64
+  - name: left
+    dtype: int64
+  - name: top
+    dtype: int64
+  - name: right
+    dtype: int64
+  - name: bottom
+    dtype: int64
+  - name: question
+    dtype: string
+  splits:
+  - name: train
+    num_examples: 38990
+  - name: test
+    num_examples: 1705
+  config_name: wsdmcup2023
 ---
+
+# Dataset Card for WSDMCup2023
+
+## Dataset Description
+
+- **Homepage:** [Toloka Visual Question Answering Challenge](https://toloka.ai/challenges/wsdm2023)
+- **Repository:** [WSDM Cup 2023 Starter Pack](https://github.com/Toloka/WSDMCup2023)
+- **Paper:** 
+- **Leaderboard:** [CodaLab Competition Leaderboard](https://codalab.lisn.upsaclay.fr/competitions/7434#results)
+- **Point of Contact:** [email protected]
+
+### Dataset Summary
+
+The WSDMCup2023 Dataset consists of images associated with textual questions.
+One entry (instance) in our dataset is a question-image pair labeled with the ground truth coordinates of a bounding box containing
+the visual answer to the given question. The images were obtained from a CC BY-licensed subset of the Microsoft Common Objects in
+Context dataset, [MS COCO](https://cocodataset.org/). All data labeling was performed on the [Toloka crowdsourcing platform](https://toloka.ai/).
+
+The dataset has 45,199 instances split among three subsets: train (38,990 instances), public test (1,705 instances),
+and private test (4,504 instances). The entire train dataset will be available for everyone from the start of the challenge.
+The public test dataset will be available during the evaluation phase of the competition but without any ground truth labels.
+The private test dataset will not be available until the challenge ends.