Processed data from AutoTrain data processor ([2023-04-19 02:19 ]

README.md

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+---
+task_categories:
+- translation
+
+---
+# AutoTrain Dataset for project: xx
+
+## Dataset Description
+
+This dataset has been automatically processed by AutoTrain for project xx.
+
+### Languages
+
+The BCP-47 code for the dataset's language is unk.
+
+## Dataset Structure
+
+### Data Instances
+
+A sample from this dataset looks as follows:
+
+```json
+[
+  {
+    "feat_db_id": "department_management",
+    "target": "SELECT count(*) FROM head WHERE age  >  56",
+    "source": "How many heads of the departments are older than 56 ?",
+    "feat_query_toks": [
+      "SELECT",
+      "count",
+      "(",
+      "*",
+      ")",
+      "FROM",
+      "head",
+      "WHERE",
+      "age",
+      ">",
+      "56"
+    ],
+    "feat_query_toks_no_value": [
+      "select",
+      "count",
+      "(",
+      "*",
+      ")",
+      "from",
+      "head",
+      "where",
+      "age",
+      ">",
+      "value"
+    ],
+    "feat_question_toks": [
+      "How",
+      "many",
+      "heads",
+      "of",
+      "the",
+      "departments",
+      "are",
+      "older",
+      "than",
+      "56",
+      "?"
+    ]
+  },
+  {
+    "feat_db_id": "department_management",
+    "target": "SELECT name ,  born_state ,  age FROM head ORDER BY age",
+    "source": "List the name, born state and age of the heads of departments ordered by age.",
+    "feat_query_toks": [
+      "SELECT",
+      "name",
+      ",",
+      "born_state",
+      ",",
+      "age",
+      "FROM",
+      "head",
+      "ORDER",
+      "BY",
+      "age"
+    ],
+    "feat_query_toks_no_value": [
+      "select",
+      "name",
+      ",",
+      "born_state",
+      ",",
+      "age",
+      "from",
+      "head",
+      "order",
+      "by",
+      "age"
+    ],
+    "feat_question_toks": [
+      "List",
+      "the",
+      "name",
+      ",",
+      "born",
+      "state",
+      "and",
+      "age",
+      "of",
+      "the",
+      "heads",
+      "of",
+      "departments",
+      "ordered",
+      "by",
+      "age",
+      "."
+    ]
+  }
+]
+```
+
+### Dataset Fields
+
+The dataset has the following fields (also called "features"):
+
+```json
+{
+  "feat_db_id": "Value(dtype='string', id=None)",
+  "target": "Value(dtype='string', id=None)",
+  "source": "Value(dtype='string', id=None)",
+  "feat_query_toks": "Sequence(feature=Value(dtype='string', id=None), length=-1, id=None)",
+  "feat_query_toks_no_value": "Sequence(feature=Value(dtype='string', id=None), length=-1, id=None)",
+  "feat_question_toks": "Sequence(feature=Value(dtype='string', 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        | 1001 |
+| valid        | 1001 |

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": {
+    "feat_db_id": {
+      "dtype": "string",
+      "_type": "Value"
+    },
+    "target": {
+      "dtype": "string",
+      "_type": "Value"
+    },
+    "source": {
+      "dtype": "string",
+      "_type": "Value"
+    },
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+      "_type": "Sequence"
+    },
+    "feat_query_toks_no_value": {
+      "feature": {
+        "dtype": "string",
+        "_type": "Value"
+      },
+      "_type": "Sequence"
+    },
+    "feat_question_toks": {
+      "feature": {
+        "dtype": "string",
+        "_type": "Value"
+      },
+      "_type": "Sequence"
+    }
+  },
+  "homepage": "",
+  "license": "",
+  "splits": {
+    "train": {
+      "name": "train",
+      "num_bytes": 630265,
+      "num_examples": 1001,
+      "dataset_name": null
+    }
+  }
+}

processed/train/state.json

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+{
+  "_data_files": [
+    {
+      "filename": "data-00000-of-00001.arrow"
+    }
+  ],
+  "_fingerprint": "bfb95b86a4714996",
+  "_format_columns": [
+    "feat_db_id",
+    "feat_query_toks",
+    "feat_query_toks_no_value",
+    "feat_question_toks",
+    "source",
+    "target"
+  ],
+  "_format_kwargs": {},
+  "_format_type": null,
+  "_output_all_columns": false,
+  "_split": null
+}

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

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processed/valid/dataset_info.json

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+{
+  "citation": "",
+  "description": "AutoTrain generated dataset",
+  "features": {
+    "feat_db_id": {
+      "dtype": "string",
+      "_type": "Value"
+    },
+    "target": {
+      "dtype": "string",
+      "_type": "Value"
+    },
+    "source": {
+      "dtype": "string",
+      "_type": "Value"
+    },
+    "feat_query_toks": {
+      "feature": {
+        "dtype": "string",
+        "_type": "Value"
+      },
+      "_type": "Sequence"
+    },
+    "feat_query_toks_no_value": {
+      "feature": {
+        "dtype": "string",
+        "_type": "Value"
+      },
+      "_type": "Sequence"
+    },
+    "feat_question_toks": {
+      "feature": {
+        "dtype": "string",
+        "_type": "Value"
+      },
+      "_type": "Sequence"
+    }
+  },
+  "homepage": "",
+  "license": "",
+  "splits": {
+    "valid": {
+      "name": "valid",
+      "num_bytes": 663747,
+      "num_examples": 1001,
+      "dataset_name": null
+    }
+  }
+}

processed/valid/state.json

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+{
+  "_data_files": [
+    {
+      "filename": "data-00000-of-00001.arrow"
+    }
+  ],
+  "_fingerprint": "3918d419ca0d1102",
+  "_format_columns": [
+    "feat_db_id",
+    "feat_query_toks",
+    "feat_query_toks_no_value",
+    "feat_question_toks",
+    "source",
+    "target"
+  ],
+  "_format_kwargs": {},
+  "_format_type": null,
+  "_output_all_columns": false,
+  "_split": null
+}