Update README.md

README.md

@@ -14,4 +14,51 @@ configs:
   data_files:
   - split: train
     path: data/train-*
+task_categories:
+- feature-extraction
+- text-classification
+- sentence-similarity
+language:
+- en
+size_categories:
+- 1M<n<10M
 ---
+
+# Dataset Card for "WikiAnswers Small"
+
+## Dataset Summary
+`nikhilchigali/wikianswers_small` is a subset of the `embedding-data/WikiAnswers` dataset ([Link](https://huggingface.co/datasets/embedding-data/WikiAnswers)). This dataset is for the owner's personal use and claims no rights whatsoever. 
+As opposed to the original dataset with `3,386,256` rows, this dataset contains only 4% of the total rows (1,095,326).
+
+## Languages
+English.
+
+## Dataset Structure
+Each example in the dataset contains 25 equivalent sentences and is formatted as a dictionary with the key "set" and a list with the sentences as "value".
+```
+{"set": [sentence_1, sentence_2, ..., sentence_25]}
+{"set": [sentence_1, sentence_2, ..., sentence_25]}
+...
+{"set": [sentence_1, sentence_2, ..., sentence_25]}
+```
+### Usage Example
+Install the 🤗 Datasets library with `pip install datasets` and load the dataset from the Hub with:
+```python
+from datasets import load_dataset
+dataset = load_dataset("embedding-data/WikiAnswers")
+```
+The dataset is loaded as a `DatasetDict` and has the format for `N` examples:
+```python
+DatasetDict({
+    train: Dataset({
+        features: ['set'],
+        num_rows: N
+    })
+})
+```
+Review an example `i` with:
+```python
+dataset["train"][i]["set"]
+```
+### Source Data
+* `embedding-data/WikiAnswers` on HuggingFace ([Link](https://huggingface.co/datasets/embedding-data/WikiAnswers))