region:us
---
{}

---
# AutoTrain Dataset for project: medocr-berta

## Dataset Description

This dataset has been automatically processed by AutoTrain for project medocr-berta.

### 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
[
  {
    "context": "[597, 612]",
    "question": "What are the contents?",
    "answers.text": [
      " INCL.ALL TAXES"
    ],
    "answers.answer_start": [
      597
    ],
    "feat_Unnamed: 0": [
      831
    ],
    "feat_image_path": [
      "/content/train/images/20221121_165501_71f9_jpg.rf.446486cc21bc5e8b824c6554a12e5dfd.jpg"
    ],
    "feat_context": [
      "chim cuated tablet conte\nArmycin Dydrate\nFa Aithromycin\nExclarence\nCateur titanium Dioxide\nDusage directed by the c\nStori: Stere temperature w\nreach of sisteren\n25C Protest from Right & moisture\nCup the medicine ou\nAMSTER LABS UNIT\nFals\nBext Delautan\n14 01 2013)\nMarketed by\n500m\nak\nHAUZ\nPharma Pvt. Ltd\n0013019 Cered Compor\n301, Industnal Ae Phase-I\nPenchkula, Haryana-154 109\n* Azithromycin\nTablets IP 500 mg\nAzeewah-500\nMig. Lic. No:6/13/14\nCompation\nLash film copted tablet contains (\nAainamycin Dydrats\nEto Arm\nThankan Dhode I\nB.NO.MATO74 M.R.P.Rs.119.50\nMFG.JAN.2022 PER 5 TABS.\nEXP.DEC.2023 INCL.ALL TAXES"
    ]
  },
  {
    "context": "[100, 111]",
    "question": "What is Expiry Date?",
    "answers.text": [
      "\nEXP.APR.25"
    ],
    "answers.answer_start": [
      100
    ],
    "feat_Unnamed: 0": [
      25
    ],
    "feat_image_path": [
      "/content/train/images/20221121_161649_7e1f_jpg.rf.f9286b7e77dc417400d771a1274f3ab8.jpg"
    ],
    "feat_context": [
      "www.al\nMain NAS\nwwwwww\nKES 105 HER BO\n2012 10 10 10 10 10 10 10 10\nAvomine\nnometrazine\nB.NO.AVA22016\nEXP.APR.25\nM.R.P.Rs.50.89 PER 10 TABS. INCL.OFALLTAXES\nMFD.MAY 22\nTONDA\nCON UNUDU U\nAvomine\nTheoclate Tablets f\nPromehatine\nB.No.AVA22016 MFD.MAY 22\nEXP.APR.25\nM.R.P.Rs.50.89 PER 10 TABS INCL.OFALL TAXES"
    ]
  }
]
```

### Dataset Fields

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

```json
{
  "context": "Value(dtype='string', id=None)",
  "question": "Value(dtype='string', id=None)",
  "answers.text": "Sequence(feature=Value(dtype='string', id=None), length=-1, id=None)",
  "answers.answer_start": "Sequence(feature=Value(dtype='int32', id=None), length=-1, id=None)",
  "feat_Unnamed: 0": "Sequence(feature=Value(dtype='int64', id=None), length=-1, id=None)",
  "feat_image_path": "Sequence(feature=Value(dtype='string', id=None), length=-1, id=None)",
  "feat_context": "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        | 773 |
| valid        | 194 |
