Update README.md

README.md

@@ -1,3 +1,65 @@
 ---
-license: other
+license: cc-by-sa-3.0
+task_categories:
+- question-answering
+- sentence-similarity
+- feature-extraction
+language:
+- en
 ---
+
+# Dataset Card for "nq"
+
+## Table of Contents
+- [Table of Contents](#table-of-contents)
+- [Dataset Description](#dataset-description)
+  - [Dataset Summary](#dataset-summary)
+- [Dataset Structure](#dataset-structure)
+  - [Data Instances](#data-instances)
+  - [Data Fields](#data-fields)
+- [Additional Information](#additional-information)
+  - [Licensing Information](#licensing-information)
+
+## Dataset Description
+
+
+- **Homepage:** [https://ai.google.com/research/NaturalQuestions](https://ai.google.com/research/NaturalQuestions)
+
+### Dataset Summary
+
+This is a modified version of the original Natural Questions (nq) dataset for qa tasks. The original is availabe [here](https://ai.google.com/research/NaturalQuestions).
+
+Each sample was preprocessed into a squadlike format. The context was shortened from an entire wikipedia article into the passage containing the answer. 
+## Dataset Structure
+
+### Data Instances
+
+An example of 'train' looks as follows.
+
+```json
+{
+    "context": "The 2017 Major League Baseball All - Star Game was the 88th edition of the Major League Baseball All Star Game. The game was",
+    "question": "where is the 2017 baseball all-star game being played",
+    "answers":
+        {
+          "text":["Marlins Park"],
+          "answer_start":[171]
+        }
+}
+```
+
+### Data Fields
+
+The data fields are the same among all splits.
+
+- `question`: a `string` feature.
+- `context`: a `string` feature.
+- - `answers`: a dictionary feature containing:
+  - `text`: a `string` feature.
+  - `answer_start`: a `int32` feature.
+
+## Additional Information
+
+### Licensing Information
+
+This dataset is distributed under the cc-by-sa-3.0 license.