Processed data from AutoTrain data processor ([2023-09-19 17:07 ]

README.md

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+---
+task_categories:
+- text-classification
+
+---
+# AutoTrain Dataset for project: ecoli_exp
+
+## Dataset Description
+
+This dataset has been automatically processed by AutoTrain for project ecoli_exp.
+
+### 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
+[
+  {
+    "text": "( p b p D + M X A E J x L T G # I t T A z N a t f L G S I G D U p v v Y K O j @ G e S O L W d f P D G X l A H B e V A A y L v Z Q v M G W D I V o # t W M # D g P M G D & ( v q l W % E H D P v q A A V D L v O x E N L O E t G W K q v l E & H d E n & Q R V A l u H e D z o A l R # ( b V F D L V v N N a d # K G N H I J A ( T N & H % h G u D h g l T F H X D H K L # x V J W & W l & D A L T A E e C D & i D B v S e & M H H & m G $ e L b D M L S A e e I @ Z l G x # C A % M # M @ g $ F O a O w ^ E ( Z b V p W O L F l E H H H H H H )",
+    "target": 0,
+    "feat_SeqLength": 264.0
+  },
+  {
+    "text": "( S Z P T T t I d P q l A B W e % F B A ^ $ n b A L A T E H G W M x l x s F Q W m E a q O s K u e m u O G l W s X d G T x a F l x b S A b D g l T M V E t & Q u u E g T i x b t L Q D e E Z L ( W V Q f & G D D G K q u V b e m A ( B b D K Y b u # T # D N S s P V M X g F E ^ v P T y b Y S p a W u I E G % F e p Y a E P ( D U P I G x A N P M V D ^ v H R s V G E V V F % @ O G u P H e I % L H b e E E K L G b m N v X F H d E T N ^ D T x d e W % K V F I P R p # P D g s V V I d F N B A I N Y P w A F X P y G T C P ( p u % G n z v D V % V E A & E k m O Q G l E H H H H H H )",
+    "target": 0,
+    "feat_SeqLength": 284.0
+  }
+]
+```
+
+### Dataset Fields
+
+The dataset has the following fields (also called "features"):
+
+```json
+{
+  "text": "Value(dtype='string', id=None)",
+  "target": "ClassLabel(names=['0', '1'], id=None)",
+  "feat_SeqLength": "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        | 4281 |
+| valid        | 2067 |

processed/dataset_dict.json

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

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

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+size 2471912

processed/train/dataset_info.json

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+{
+  "citation": "",
+  "description": "AutoTrain generated dataset",
+  "features": {
+    "text": {
+      "dtype": "string",
+      "_type": "Value"
+    },
+    "target": {
+      "names": [
+        "0",
+        "1"
+      ],
+      "_type": "ClassLabel"
+    },
+    "feat_SeqLength": {
+      "dtype": "float64",
+      "_type": "Value"
+    }
+  },
+  "homepage": "",
+  "license": "",
+  "splits": {
+    "train": {
+      "name": "train",
+      "num_bytes": 2470083,
+      "num_examples": 4281,
+      "dataset_name": null
+    }
+  }
+}

processed/train/state.json

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+{
+  "_data_files": [
+    {
+      "filename": "data-00000-of-00001.arrow"
+    }
+  ],
+  "_fingerprint": "9ceffeedf7ed76f1",
+  "_format_columns": null,
+  "_format_kwargs": {},
+  "_format_type": null,
+  "_output_all_columns": false,
+  "_split": null
+}

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

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+size 1113208

processed/valid/dataset_info.json

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+{
+  "citation": "",
+  "description": "AutoTrain generated dataset",
+  "features": {
+    "text": {
+      "dtype": "string",
+      "_type": "Value"
+    },
+    "target": {
+      "names": [
+        "0",
+        "1"
+      ],
+      "_type": "ClassLabel"
+    },
+    "feat_SeqLength": {
+      "dtype": "float64",
+      "_type": "Value"
+    }
+  },
+  "homepage": "",
+  "license": "",
+  "splits": {
+    "valid": {
+      "name": "valid",
+      "num_bytes": 1111902,
+      "num_examples": 2067,
+      "dataset_name": null
+    }
+  }
+}

processed/valid/state.json

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+{
+  "_data_files": [
+    {
+      "filename": "data-00000-of-00001.arrow"
+    }
+  ],
+  "_fingerprint": "1b4ac2f1595aab2e",
+  "_format_columns": null,
+  "_format_kwargs": {},
+  "_format_type": null,
+  "_output_all_columns": false,
+  "_split": null
+}