| language: | |
| - en | |
| # AutoTrain Dataset for project: stocks-ner-2000-sample-test | |
| ## Dataset Description | |
| This dataset has been automatically processed by AutoTrain for project stocks-ner-2000-sample-test. | |
| ### Languages | |
| The BCP-47 code for the dataset's language is en. | |
| ## Dataset Structure | |
| ### Data Instances | |
| A sample from this dataset looks as follows: | |
| ```json | |
| [ | |
| { | |
| "tokens": [ | |
| "MAXVIL", | |
| " : CONVERGENCE OF AVERAGES HAPPENING, VOLUMES ABOVE AVERAGE RSI FULLY BREAK OUT " | |
| ], | |
| "tags": [ | |
| 10, | |
| 0 | |
| ] | |
| }, | |
| { | |
| "tokens": [ | |
| "INTRADAY", | |
| " : BUY ", | |
| "CAMS", | |
| " ABOVE ", | |
| "2625", | |
| " SL ", | |
| "2595", | |
| " TARGET ", | |
| "2650", | |
| " - ", | |
| "2675", | |
| " - ", | |
| "2700", | |
| " " | |
| ], | |
| "tags": [ | |
| 8, | |
| 0, | |
| 10, | |
| 0, | |
| 3, | |
| 0, | |
| 9, | |
| 0, | |
| 5, | |
| 0, | |
| 6, | |
| 0, | |
| 7, | |
| 0 | |
| ] | |
| } | |
| ] | |
| ``` | |
| ### Dataset Fields | |
| The dataset has the following fields (also called "features"): | |
| ```json | |
| { | |
| "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 | 1261 | | |
| | valid | 480 | | |