Update README.md

README.md

@@ -21,3 +21,30 @@ configs:
   - split: train
     path: data/train-*
 ---
+
+# mkqa filtered version
+
+For a better dataset description, please visit the official site of the source dataset: [LINK](https://huggingface.co/datasets/mkqa) <br>
+<br>
+**This dataset was prepared by converting mkqa dataset**.
+
+**I additionaly share the code which I used to convert the original dataset to make everything more clear**
+```
+mkqa = load_dataset("mkqa", split="train").to_pandas()
+needed_langs = ["en", "ar", "de", "es", "vi", "zh_cn"]
+rows = []
+for i, row in tqdm(mkqa.iterrows(), total=mkqa.shape[0]):
+    for lang in needed_langs:
+        rows.append([lang, row["example_id"], row["queries"][lang], row["answers"][lang][0]["text"]])
+        
+filtered_dataset = pd.DataFrame(rows, columns=["lang", "example_id", "query", "answer"])
+filtered_dataset.dropna(inplace=True)
+filtered_dataset.reset_index(drop=True, inplace=True)
+```
+
+**How to download**
+
+```
+from datasets import load_dataset
+data = load_dataset("dkoterwa/oasst1_filtered_retrieval")
+```