--- dataset_info: - config_name: e_thos_project__climate_change_analysis_results_wynn features: - name: Hearing Title dtype: large_string - name: Witness Name dtype: large_string - name: Witness Type dtype: large_string - name: Sentences with Appeals to Expertise dtype: large_string - name: Type of Appeal dtype: large_string - name: Python (Y/N) dtype: large_string - name: Incorrect Python Hits dtype: large_string - name: Type of Appeal.1 dtype: large_string - name: String/Word Class Fix dtype: large_string - name: 'Unnamed: 9' dtype: large_string - name: 'Unnamed: 10' dtype: float64 - name: 'Unnamed: 11' dtype: float64 - name: 'Unnamed: 12' dtype: float64 - name: 'Unnamed: 13' dtype: float64 - name: 'Unnamed: 14' dtype: float64 - name: 'Unnamed: 15' dtype: float64 - name: 'Unnamed: 16' dtype: float64 - name: 'Unnamed: 17' dtype: float64 - name: 'Unnamed: 18' dtype: float64 - name: 'Unnamed: 19' dtype: float64 - name: 'Unnamed: 20' dtype: float64 - name: 'Unnamed: 21' dtype: float64 - name: 'Unnamed: 22' dtype: float64 - name: 'Unnamed: 23' dtype: float64 - name: 'Unnamed: 24' dtype: float64 - name: 'Unnamed: 25' dtype: float64 - name: 'Unnamed: 26' dtype: float64 splits: - name: train num_bytes: 286769 num_examples: 816 download_size: 56313 dataset_size: 286769 - config_name: e_thos_project__climate_change_metadata_qualitative_wynn features: - name: Tag dtype: large_string - name: Name dtype: large_string - name: Gender dtype: large_string - name: Witness Type dtype: large_string - name: Affiliation dtype: large_string - name: Affiliation Type dtype: large_string - name: Title dtype: large_string - name: Department/Organization dtype: large_string - name: Extracted and Processed dtype: large_string - name: Analyzed dtype: large_string - name: Notes dtype: large_string - name: 'Unnamed: 11' dtype: large_string splits: - name: train num_bytes: 96880 num_examples: 414 download_size: 28321 dataset_size: 96880 - config_name: e_thos_project__climate_change_metadata_quantitative_oral_wynn features: - name: Witness Name dtype: large_string - name: Male dtype: float64 - name: Female dtype: float64 - name: Age at Time of Testimony dtype: float64 - name: Times Testifying before Congress about scientific matters before this hearing dtype: float64 - name: Witness Type dtype: float64 - name: Oral Testimony dtype: float64 - name: 'Prepared Testimony ' dtype: float64 - name: Appeals to Expertise dtype: float64 - name: PSAT dtype: float64 - name: Year dtype: float64 - name: Hearing Tag dtype: large_string - name: House dtype: float64 - name: Senate dtype: float64 - name: Democrat Presiding Chair dtype: float64 - name: Republican Presiding Chair dtype: float64 - name: Committee ID dtype: float64 - name: Subcommittee ID dtype: large_string - name: ACHIEVE_INS dtype: large_string - name: ACHIEVE_INT dtype: large_string - name: AUTH_N dtype: large_string - name: AUTH_P_C dtype: large_string - name: AUTH_P_D dtype: large_string - name: AWARD dtype: large_string - name: EXPERIENCE dtype: large_string - name: LEADER dtype: large_string - name: LEARN_D dtype: large_string - name: LEARN_P dtype: large_string - name: PUBLISH dtype: large_string - name: REPRESENT dtype: large_string - name: Total Number of Appeals dtype: float64 splits: - name: train num_bytes: 76364 num_examples: 267 download_size: 21019 dataset_size: 76364 - config_name: e_thos_project__climate_change_metadata_quantitative_prepared_wynn features: - name: Witness Name dtype: large_string - name: Male dtype: float64 - name: Female dtype: float64 - name: Age at Time of Testimony dtype: float64 - name: Times Testifying before Congress about scientific matters before this hearing dtype: float64 - name: Witness Type dtype: float64 - name: Oral Testimony dtype: float64 - name: 'Prepared Testimony ' dtype: float64 - name: Appeals to Expertise dtype: float64 - name: PSAT dtype: float64 - name: Year dtype: float64 - name: Hearing Tag dtype: large_string - name: House dtype: float64 - name: Senate dtype: float64 - name: Democrat Presiding Chair dtype: float64 - name: Republican Presiding Chair dtype: float64 - name: Committee ID dtype: float64 - name: Subcommittee ID dtype: large_string - name: ACHIEVE_INS dtype: large_string - name: ACHIEVE_INT dtype: large_string - name: AUTH_N dtype: large_string - name: AUTH_P_C dtype: large_string - name: AUTH_P_D dtype: large_string - name: AWARD dtype: large_string - name: EXPERIENCE dtype: large_string - name: LEADER dtype: large_string - name: LEARN_D dtype: large_string - name: LEARN_P dtype: large_string - name: PUBLISH dtype: large_string - name: REPRESENT dtype: large_string - name: Total Number of Appeals dtype: float64 splits: - name: train num_bytes: 71537 num_examples: 250 download_size: 21299 dataset_size: 71537 configs: - config_name: e_thos_project__climate_change_analysis_results_wynn data_files: - split: train path: e_thos_project__climate_change_analysis_results_wynn/train-* - config_name: e_thos_project__climate_change_metadata_qualitative_wynn data_files: - split: train path: e_thos_project__climate_change_metadata_qualitative_wynn/train-* - config_name: e_thos_project__climate_change_metadata_quantitative_oral_wynn data_files: - split: train path: e_thos_project__climate_change_metadata_quantitative_oral_wynn/train-* - config_name: e_thos_project__climate_change_metadata_quantitative_prepared_wynn data_files: - split: train path: e_thos_project__climate_change_metadata_quantitative_prepared_wynn/train-* license: cc-by-4.0 pretty_name: 'E-thos Project: Climate Change' --- # E-thos Project: Climate Change > Hugging Face copy of the KiltHub (Carnegie Mellon University) record [doi:10.1184/R1/12964481.v1](https://doi.org/10.1184/R1/12964481.v1), converted to Parquet for [Project Protostar](https://huggingface.co/CMU-OSPO). Please cite the original record. **Authors:** James Wynn **License:** CC BY 4.0 This repository contains materials associated with a project which explores appeals to expertise by climate scientists in hearings before Congress. These materials include plain text files in UTF-7 and ASCII format of testimonies by individual scientists in hearings from 1985-2013 as well as meta-data about each of the hearings and scientific witnesses in the corpus. ## Quick start ```python from datasets import load_dataset ds = load_dataset("CMU-OSPO/E-thos_Project_Climate_Change", "e_thos_project__climate_change_analysis_results_wynn", split="train") df = ds.to_pandas() ``` Other subsets load the same way; pass a name from the table below. ## Subsets | Subset | Rows | Description | |---|---:|---| | `e_thos_project__climate_change_analysis_results_wynn` | 816 | | | `e_thos_project__climate_change_metadata_qualitative_wynn` | 414 | | | `e_thos_project__climate_change_metadata_quantitative_oral_wynn` | 267 | | | `e_thos_project__climate_change_metadata_quantitative_prepared_wynn` | 250 | | ## Changes from the original files - Details of the KiltHub to Parquet conversion are in [`notes_preprocessing.txt`](./blob/main/notes_preprocessing.txt). ## Citation ```text Wynn, James (2020). E-thos Project: Climate Change. Carnegie Mellon University. Dataset. https://doi.org/10.1184/R1/12964481.v1 ``` Variable descriptions, units and methods are in the authors' README on KiltHub: [Readme_txt_file_E-thos_Project_Climate_Change_Wynn.txt](https://kilthub.cmu.edu/articles/dataset/E-thos_Project_Climate_Change/12964481?file=24696179).