|
--- |
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language: |
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- "en" |
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tags: |
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- text-classification |
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- sentiment-analysis |
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task_categories: |
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- text-classification |
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configs: |
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- config_name: quality |
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data_files: |
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- split: train |
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path: |
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- quality/train.csv.gz |
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- split: test |
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path: |
|
- quality/test.csv.gz |
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- config_name: readability |
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data_files: |
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- split: train |
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path: |
|
- readability/train.csv.gz |
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- split: test |
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path: |
|
- readability/test.csv.gz |
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- config_name: sentiment |
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data_files: |
|
- split: train |
|
path: |
|
- sentiment/train.csv.gz |
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- split: test |
|
path: |
|
- sentiment/test.csv.gz |
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--- |
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|
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# Text statistics |
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|
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This dataset is a combination of the following datasets: |
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- [agentlans/text-quality-v2](https://huggingface.co/datasets/agentlans/text-quality-v2) |
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- [agentlans/readability](https://huggingface.co/datasets/agentlans/readability) |
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- [agentlans/twitter-sentiment-meta-analysis](https://huggingface.co/datasets/agentlans/twitter-sentiment-meta-analysis) |
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|
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The main purpose is to collect the large data into one place for easy training and evaluation. |
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|
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The full datasets were shuffled and randomly split into `train` and `test` splits. |
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|
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## Dataset size |
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|
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| Dataset | Train split | Test split | |
|
|---------|-------------|------------| |
|
| quality | 809 533 | 100 000 | |
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| readability | 869 663 | 50 000 | |
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| sentiment | 128 690 | 10 000 | |
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|
