remove __index_level_0__ column

README.md

@@ -1,32 +1,32 @@
 ---
+language:
+- en
+license: cc-by-nc-sa-4.0
+size_categories:
+- 1K<n<10K
+pretty_name: CoconutDB SMILES to Formula Bitext Mining
 dataset_info:
   features:
-  - name: formula
+  - name: name
     dtype: string
-  - name: smiles
+  - name: canonical_smiles
     dtype: string
   splits:
   - name: test
-    num_bytes: 535072
+    num_bytes: 532021
     num_examples: 5000
-  download_size: 262346
-  dataset_size: 535072
+  download_size: 261520
+  dataset_size: 532021
 configs:
 - config_name: default
   data_files:
   - split: test
     path: data/test-*
-license: cc-by-nc-sa-4.0
-language:
-- en
 tags:
 - chemistry
 - coconutdb
 - SMILES
 - chemteb
-pretty_name: CoconutDB SMILES to Formula Bitext Mining
-size_categories:
-- 1K<n<10K
 ---
 # CoconutDB SMILES to Formula Bitext Mining
 This dataset consists of two lists: one containing both isomeric and canonical SMILES strings, and the other containing the corresponding molecular formulas of chemical entities, sourced from [CoconutDB](https://coconut.naturalproducts.net/). The primary task is to identify matching pairs between the SMILES strings and their molecular formulas. Each SMILES string from the first list should be accurately aligned with its corresponding molecular formula from the second list. This dataset is a subset of [BASF-We-Create-Chemistry/CoconutSmiles2NameBitextMining](https://huggingface.co/datasets/BASF-We-Create-Chemistry/CoconutSmiles2NameBitextMining) with 5000 samples.

data/test-00000-of-00001.parquet

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:63564f3861d86538e479e46dd08f28da2be50d84a4fa0c056c7bd16542cfc32e
-size 262346
+oid sha256:c738903e5c7ad279ea5b5eb0e7aa415747e747d28c310ddb2b14eddcad4bbd73
+size 261520