---
license: apache-2.0
---

Dataset for ["Beyond the Lens: Quantifying the Impact of Scientific Documentaries through Amazon Reviews"](https://arxiv.org/abs/2502.08705).


## How to use

Can be loaded with `Pandas` as:
```python
import pandas as pd
data = pd.read_json('final_annotations.json')
```

### Data Format

Columns:
* `sentence` - sentence from review, as tokenized with spaCy
* `sentiment` - final sentiment category
* `impact` - final impact category
* `film_title` - title of film
* `duplicated` - does the same text (once punctuation is removed) appear more than once in the dataset?
* `sentiments` - full list of sentiments from annotators
* `impacts` - full list of impacts from annotators
* `full_review` - currently not in dataset, to be uploaded later (as of 02/26/2025)

For further details, please see paper.

## How to Cite

Paper: ["Beyond the Lens: Quantifying the Impact of Scientific Documentaries through Amazon Reviews"](https://arxiv.org/abs/2502.08705)

Paper to be published with [WebSci25](https://www.websci25.org/).  Before conference, if using this data please cite as:

```latex
@misc{naiman2025lensquantifyingimpactscientific,
      title={Beyond the Lens: Quantifying the Impact of Scientific Documentaries through Amazon Reviews}, 
      author={Jill Naiman and Aria Pessianzadeh and Hanyu Zhao and AJ Christensen and Kalina Borkiewicz and Shriya Srikanth and Anushka Gami and Emma Maxwell and Louisa Zhang and Sri Nithya Yeragorla and Rezvaneh Rezapour},
      year={2025},
      eprint={2502.08705},
      archivePrefix={arXiv},
      primaryClass={cs.CY},
      url={https://arxiv.org/abs/2502.08705}, 
}
```