task_categories:text-classification region:us
---
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 |
