| # Dataset for annotation | |
| ## Files and their description | |
| 1. combined_all_stats_csv | |
| - This is the CSV File containing statistics for the patent dataset | |
| > can be downloaded from the Git Repo. | |
| - What are the statistics it shows? | |
| > This file contains columns such as filename, total publications, total positive samples, total negative samples, and total neutral samples per every week of the year from 2010-2020. | |
| 2. combined_neut_data_csv | |
| - This is the CSV File, that contains details regarding neutral samples | |
| > Can be downloaded from [here](https://drive.google.com/file/d/1-YCku0qx74cmbSm7R_7t7C6K9jdmvTn1/view?usp=sharing) | |
| - What data this file contains? | |
| > This file contains columns such as publication_number, patent_title, appl_type, and neutral_text for each patents. | |
| 3. combined_pos_data_csv | |
| - This is the CSV File, that contains details regarding positive samples | |
| > Can be downloaded from [here](https://drive.google.com/file/d/1-I_HVrIVVZ0hFPk32GcqTpUXdk-4Nr2l/view?usp=sharing). | |
| - What data this file contains? | |
| > This file contains columns such as publication_number, patent_title, appl_type, and positive_text for each patent. | |
| 4. combined_neg_data_csv | |
| - This is the CSV File, that contains details regarding negative samples | |
| > Can be downloaded from [here](https://drive.google.com/file/d/1-PDCkcrrDCtFnKy5MJFuaKJ0T8A4r1_S/view?usp=sharing) | |
| - What data this file contains? | |
| > This file contains columns such as publication_number, patent_title, appl_type, and negative_text for each patent. | |
| 5. combined_data_150k | |
| - This is the CSV File, that contains 150k cleaned data samples(50k from each pos, neg, and neut) required to train models. | |
| > Can be downloaded from [here](https://drive.google.com/file/d/1nMdnmJ3_JdcgNFB8C9O8URUWEqFYg01m/view?usp=sharing) | |
| - What data this file contains? | |
| > This file contains two columns text and target. | |
| > Text can be neutral, positive, or negative. | |
| > Target can be label 0, 1, 2 for neutral, positive, and negative respectively. |