metadata

language:
  - en

AutoTrain Dataset for project: ratnakar_1000_sample_curated

Dataset Description

This dataset has been automatically processed by AutoTrain for project ratnakar_1000_sample_curated.

Languages

The BCP-47 code for the dataset's language is en.

Dataset Structure

Data Instances

A sample from this dataset looks as follows:

[
  {
    "tokens": [
      "INTRADAY",
      "NAHARINDUS",
      " ABOVE ",
      "128",
      " - 129 SL ",
      "126",
      " TARGET ",
      "140",
      " "
    ],
    "tags": [
      8,
      10,
      0,
      3,
      0,
      9,
      0,
      5,
      0
    ]
  },
  {
    "tokens": [
      "INTRADAY",
      "ASTRON",
      " ABV ",
      "39",
      " SL ",
      "37.50",
      " TARGET ",
      "45",
      " "
    ],
    "tags": [
      8,
      10,
      0,
      3,
      0,
      9,
      0,
      5,
      0
    ]
  }
]

Dataset Fields

The dataset has the following fields (also called "features"):

{
  "tokens": "Sequence(feature=Value(dtype='string', id=None), length=-1, id=None)",
  "tags": "Sequence(feature=ClassLabel(num_classes=12, names=['NANA', 'btst', 'delivery', 'enter', 'entry_momentum', 'exit', 'exit2', 'exit3', 'intraday', 'sl', 'symbol', 'touched'], 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	726
valid	259