| --- |
| configs: |
| - config_name: default |
| data_files: |
| - split: train |
| path: data/train-* |
| - split: test |
| path: data/test-* |
| dataset_info: |
| features: |
| - name: ID |
| dtype: string |
| - name: DOCUMENT_LEVEL_SCORE |
| dtype: float64 |
| - name: DOCUMENT_LEVEL_MAGNITUDE |
| dtype: float64 |
| - name: SENTENCE |
| dtype: string |
| - name: SENTENCE_SCORE |
| dtype: float64 |
| - name: SENTENCE_MAGNITUDE |
| dtype: float64 |
| - name: LABEL |
| dtype: int64 |
| - name: LENGTH |
| dtype: int64 |
| - name: __index_level_0__ |
| dtype: int64 |
| splits: |
| - name: train |
| num_bytes: 328225.8010973937 |
| num_examples: 1166 |
| - name: test |
| num_bytes: 82197.19890260631 |
| num_examples: 292 |
| download_size: 172216 |
| dataset_size: 410423.0 |
| --- |
| # Dataset Card for "sentiment_data_google" |
|
|
| Dataset for sentiment analysis on sentence level |
| Here we used google API to get doc level and sentiment level Score |
|
|
| * id2label = {0: "NEGATIVE", 1: "POSITIVE",2:"NEUTRAL"} |
| * label2id = {"NEGATIVE": 0, "POSITIVE": 1,"NEUTRAL":2} |
|
|
| [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
