Update README.md

README.md

@@ -7,63 +7,6 @@ size_categories:
 task_categories:
 - text-generation
 - question-answering
-configs:
-- config_name: calcx-splits
-  data_files:
-  - split: train
-    path: calcx-splits/train-*
-  - split: validation
-    path: calcx-splits/validation-*
-  - split: test
-    path: calcx-splits/test-*
-- config_name: original-splits
-  data_files:
-  - split: train
-    path: original-splits/train-*
-  - split: test
-    path: original-splits/test-*
-dataset_info:
-- config_name: calcx-splits
-  features:
-  - name: question
-    dtype: string
-  - name: chain
-    dtype: string
-  - name: result
-    dtype: string
-  - name: result_float
-    dtype: float64
-  splits:
-  - name: train
-    num_bytes: 5176237.798340693
-    num_examples: 7273
-  - name: validation
-    num_bytes: 142341.20165930683
-    num_examples: 200
-  - name: test
-    num_bytes: 957406
-    num_examples: 1319
-  download_size: 2958009
-  dataset_size: 6275985.0
-- config_name: original-splits
-  features:
-  - name: question
-    dtype: string
-  - name: chain
-    dtype: string
-  - name: result
-    dtype: string
-  - name: result_float
-    dtype: float64
-  splits:
-  - name: train
-    num_bytes: 5318579
-    num_examples: 7473
-  - name: test
-    num_bytes: 957406
-    num_examples: 1319
-  download_size: 2949137
-  dataset_size: 6275985
 ---
 # Dataset Card for "Calc-gsm8k"
 
@@ -93,7 +36,11 @@ into a simple html-like language that BeautifulSoup can parse.
 
 Content corresponds to the original gsm8k dataset.
 
-In this version, we created validation set by sampling 200 random examples from the original train split.
+In this version, we created validation set by sampling 200 random examples from the original train split. The original data splits can be downloaded using:
+
+```
+datasets.load_dataset("MU-NLPC/Calc-gsm8k", "original-splits")
+```
 
 See [gsm8k HF dataset](https://huggingface.co/datasets/gsm8k) and [official repository](https://github.com/openai/grade-school-math) for more info.