Describe IPCC confidence scale
Browse files
README.md
CHANGED
@@ -22,6 +22,13 @@ We introduce the **ICCS dataset (IPCC Confidence in Climate Statements)** is a n
|
|
22 |
|
23 |
Each statement is labeled with the corresponding IPCC report source, the page number in the report PDF, and the corresponding confidence level (, along with their associated confidence levels (`low`, `medium`, `high`, or `very high`) as assessed by IPCC climate scientists based on available evidence and agreement among their peers.
|
24 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
25 |
## Dataset Construction
|
26 |
|
27 |
To construct the dataset, we retrieved the complete raw text from each of the three IPCC report PDFs that are available online using an open-source library [pypdf2](https://pypi.org/project/PyPDF2/). We then normalized the whitespace, tokenized the text into sentences using [NLTK](https://www.nltk.org/) , and used regex search to filter for complete sentences including a parenthetical confidence label at the end of the statement, of the form _sentence (low|medium|high|very high confidence)_. The final ICCS dataset contains 8094 labeled sentences.
|
@@ -43,7 +50,7 @@ Of note: while the IPCC report uses a 5 levels scale for confidence, almost no `
|
|
43 |
|
44 |
## Code Download
|
45 |
|
46 |
-
The code to reproduce dataset collection and our LLM benchmarking experiments is
|
47 |
|
48 |
## Paper
|
49 |
|
|
|
22 |
|
23 |
Each statement is labeled with the corresponding IPCC report source, the page number in the report PDF, and the corresponding confidence level (, along with their associated confidence levels (`low`, `medium`, `high`, or `very high`) as assessed by IPCC climate scientists based on available evidence and agreement among their peers.
|
24 |
|
25 |
+
## IPCC confidence assessment scale
|
26 |
+
|
27 |
+
![](ipcc-scales.png)
|
28 |
+
|
29 |
+
Source: [IPCC AR6 Working Group I report](https://www.ipcc.ch/report/ar6/wg1/)
|
30 |
+
|
31 |
+
|
32 |
## Dataset Construction
|
33 |
|
34 |
To construct the dataset, we retrieved the complete raw text from each of the three IPCC report PDFs that are available online using an open-source library [pypdf2](https://pypi.org/project/PyPDF2/). We then normalized the whitespace, tokenized the text into sentences using [NLTK](https://www.nltk.org/) , and used regex search to filter for complete sentences including a parenthetical confidence label at the end of the statement, of the form _sentence (low|medium|high|very high confidence)_. The final ICCS dataset contains 8094 labeled sentences.
|
|
|
50 |
|
51 |
## Code Download
|
52 |
|
53 |
+
The code to reproduce dataset collection and our LLM benchmarking experiments is [released on GitHub](https://github.com/rlacombe/Climate-LLMs).
|
54 |
|
55 |
## Paper
|
56 |
|