Processed data from AutoTrain data processor ([2022-11-01 20:55 ]

README.md

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+---
+language:
+- en
+
+---
+# AutoTrain Dataset for project: mysheet
+
+## Dataset Description
+
+This dataset has been automatically processed by AutoTrain for project mysheet.
+
+### Languages
+
+The BCP-47 code for the dataset's language is en.
+
+## Dataset Structure
+
+### Data Instances
+
+A sample from this dataset looks as follows:
+
+```json
+[
+  {
+    "context": "The term \u201cpseudocode\u201d refers to writing code in a humanly understandable language such as English, and breaking it down to its core concepts.",
+    "question": "What is pseudocode?",
+    "answers.text": [
+      "Pseudocode is breaking down your code in English."
+    ],
+    "answers.answer_start": [
+      33
+    ]
+  },
+  {
+    "context": "Python is an interactive programming language designed for API and Machine Learning use.",
+    "question": "What is Python?",
+    "answers.text": [
+      "Python is an interactive programming language."
+    ],
+    "answers.answer_start": [
+      0
+    ]
+  }
+]
+```
+
+### Dataset Fields
+
+The dataset has the following fields (also called "features"):
+
+```json
+{
+  "context": "Value(dtype='string', id=None)",
+  "question": "Value(dtype='string', id=None)",
+  "answers.text": "Sequence(feature=Value(dtype='string', id=None), length=-1, id=None)",
+  "answers.answer_start": "Sequence(feature=Value(dtype='int32', id=None), length=-1, id=None)"
+}
+```
+
+### Dataset Splits
+
+This dataset is split into a train and validation split. The split sizes are as follow:
+
+| Split name   | Num samples         |
+| ------------ | ------------------- |
+| train        | 3 |
+| valid        | 1 |

processed/dataset_dict.json

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+{"splits": ["train", "valid"]}

processed/train/dataset.arrow

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processed/train/dataset_info.json

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+  "description": "AutoTrain generated dataset",
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+}

processed/train/state.json

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processed/valid/dataset_info.json

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+  "description": "AutoTrain generated dataset",
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processed/valid/state.json

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