Processed data from AutoTrain data processor ([2023-09-07 18:33 ]

README.md

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+---
+language:
+- en
+task_categories:
+- summarization
+
+---
+# AutoTrain Dataset for project: yetipy
+
+## Dataset Description
+
+This dataset has been automatically processed by AutoTrain for project yetipy.
+
+### 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
+[
+  {
+    "feat_code": "        \n        return self.correctwords(originalwords, [newword], **kwargs)",
+    "target": "def mergewords(self, newword, *originalwords, **kwargs)",
+    "text": "TODO: Write documentation",
+    "feat_loss_without_docstring": 9.7212610245,
+    "feat_loss_with_docstring": 9.146777153,
+    "feat_factor": 1.0628072448
+  },
+  {
+    "feat_code": "        \n\n        if size == 0: return [] #for efficiency\n\n        context = []\n        e = self\n        while len(context) < size:\n            e = e.previous(True,scope)\n            if not e: break\n            context.append(e)\n\n        if placeholder:\n            while len(context) < size:\n                context.append(placeholder)\n\n        context.reverse()\n        return context",
+    "target": "def leftcontext(self, size, placeholder=None, scope=None)",
+    "text": "Returns the left context for an element, as a list. This method crosses sentence/paragraph boundaries by default, which can be restricted by setting scope",
+    "feat_loss_without_docstring": 3.7681286335,
+    "feat_loss_with_docstring": 3.9110825062,
+    "feat_factor": 0.9634490266
+  }
+]
+```
+
+### Dataset Fields
+
+The dataset has the following fields (also called "features"):
+
+```json
+{
+  "feat_code": "Value(dtype='string', id=None)",
+  "target": "Value(dtype='string', id=None)",
+  "text": "Value(dtype='string', id=None)",
+  "feat_loss_without_docstring": "Value(dtype='float64', id=None)",
+  "feat_loss_with_docstring": "Value(dtype='float64', id=None)",
+  "feat_factor": "Value(dtype='float64', 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        | 80 |
+| valid        | 20 |

processed/dataset_dict.json

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

processed/train/data-00000-of-00001.arrow

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processed/train/dataset_info.json

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+  "citation": "",
+  "description": "AutoTrain generated dataset",
+  "features": {
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+      "_type": "Value"
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+  "homepage": "",
+  "license": "",
+  "splits": {
+    "train": {
+      "name": "train",
+      "num_bytes": 64642,
+      "num_examples": 80,
+      "dataset_name": null
+    }
+  }
+}

processed/train/state.json

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processed/valid/dataset_info.json

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+  "citation": "",
+  "description": "AutoTrain generated dataset",
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+    "feat_factor": {
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+      "_type": "Value"
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+  "homepage": "",
+  "license": "",
+  "splits": {
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+      "num_bytes": 11086,
+      "num_examples": 20,
+      "dataset_name": null
+    }
+  }
+}

processed/valid/state.json

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