Processed data from AutoTrain data processor ([2022-05-13 20:39 ]

README.md

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+---
+languages:
+- en
+task_categories:
+- conditional-text-generation
+
+---
+# AutoTrain Dataset for project: code_summarization
+
+## Dataset Descritpion
+
+This dataset has been automatically processed by AutoTrain for project code_summarization.
+
+### 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
+[
+  {
+    "text": "def read(self, table, columns, keyset, index=\"\", limit=0, partition=None):\n        \"\"\"Perform a ``St[...]",
+    "target": "Perform a ``StreamingRead`` API request for rows in a table.\n\n        :type table: str\n        :para[...]"
+  },
+  {
+    "text": "def maf_somatic_variant_stats(variant, variant_metadata):\n    \"\"\"\n    Parse out the variant calling [...]",
+    "target": "Parse out the variant calling statistics for a given variant from a MAF file\n\n    Assumes the MAF fo[...]"
+  }
+]
+```
+
+### Dataset Fields
+
+The dataset has the following fields (also called "features"):
+
+```json
+{
+  "text": "Value(dtype='string', id=None)",
+  "target": "Value(dtype='string', 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        | 800 |
+| valid        | 200 |

processed/dataset_dict.json

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processed/train/dataset.arrow

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processed/train/dataset_info.json

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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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