Processed data from AutoTrain data processor ([2023-03-17 16:12 ]

README.md

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+---
+task_categories:
+- summarization
+
+---
+# AutoTrain Dataset for project: rebel-covid
+
+## Dataset Description
+
+This dataset has been automatically processed by AutoTrain for project rebel-covid.
+
+### 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_id": "Q1857555-1",
+    "feat_title": "2010 Uzbek League",
+    "text": "The 2010 Uzbek League season was the 19th season of top-level football in Uzbekistan since independence in 1992 . ",
+    "target": "<triplet> 2010 Uzbek League <subj> 2010 <obj> point in time <subj> Uzbek League <obj> sports season of league or competition <subj> Uzbekistan <obj> country <triplet> Uzbek League <subj> Uzbekistan <obj> country <subj> 1992 <obj> inception"
+  },
+  {
+    "feat_id": "Q7204458-2",
+    "feat_title": "Pleiku Stadium",
+    "text": "It is currently used mostly for football matches and is the home stadium of Hoang Anh Gia Lai , or HAGL ( also a company ) . ",
+    "target": "<triplet> Hoang Anh Gia Lai <subj> football <obj> sport"
+  }
+]
+```
+
+### Dataset Fields
+
+The dataset has the following fields (also called "features"):
+
+```json
+{
+  "feat_id": "Value(dtype='string', id=None)",
+  "feat_title": "Value(dtype='string', id=None)",
+  "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        | 2496236 |
+| valid        | 624060 |

processed/dataset_dict.json

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

processed/train/dataset.arrow

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+size 864901480

processed/train/dataset_info.json

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+{
+  "citation": "",
+  "description": "AutoTrain generated dataset",
+  "features": {
+    "feat_id": {
+      "dtype": "string",
+      "_type": "Value"
+    },
+    "feat_title": {
+      "dtype": "string",
+      "_type": "Value"
+    },
+    "text": {
+      "dtype": "string",
+      "_type": "Value"
+    },
+    "target": {
+      "dtype": "string",
+      "_type": "Value"
+    }
+  },
+  "homepage": "",
+  "license": "",
+  "splits": {
+    "train": {
+      "name": "train",
+      "num_bytes": 863907122,
+      "num_examples": 2496236,
+      "dataset_name": null
+    }
+  }
+}

processed/train/state.json

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+{
+  "_data_files": [
+    {
+      "filename": "dataset.arrow"
+    }
+  ],
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+  "_format_columns": [
+    "feat_id",
+    "feat_title",
+    "target",
+    "text"
+  ],
+  "_format_kwargs": {},
+  "_format_type": null,
+  "_indexes": {},
+  "_output_all_columns": false,
+  "_split": null
+}

processed/valid/dataset.arrow

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processed/valid/dataset_info.json

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+{
+  "citation": "",
+  "description": "AutoTrain generated dataset",
+  "features": {
+    "feat_id": {
+      "dtype": "string",
+      "_type": "Value"
+    },
+    "feat_title": {
+      "dtype": "string",
+      "_type": "Value"
+    },
+    "text": {
+      "dtype": "string",
+      "_type": "Value"
+    },
+    "target": {
+      "dtype": "string",
+      "_type": "Value"
+    }
+  },
+  "homepage": "",
+  "license": "",
+  "splits": {
+    "valid": {
+      "name": "valid",
+      "num_bytes": 215739273,
+      "num_examples": 624060,
+      "dataset_name": null
+    }
+  }
+}

processed/valid/state.json

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+{
+  "_data_files": [
+    {
+      "filename": "dataset.arrow"
+    }
+  ],
+  "_fingerprint": "f74d72b0b404fabc",
+  "_format_columns": [
+    "feat_id",
+    "feat_title",
+    "target",
+    "text"
+  ],
+  "_format_kwargs": {},
+  "_format_type": null,
+  "_indexes": {},
+  "_output_all_columns": false,
+  "_split": null
+}