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---
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).