Updated datacard with info from paper

README.md

@@ -53,7 +53,7 @@ task_ids:
 
 ## Dataset Description
 
-- **Homepage:** raft.elicit.org
+- **Homepage:** https://raft.elicit.org
 - **Repository:** https://huggingface.co/datasets/ought/raft
 - **Paper:** forthcoming
 - **Leaderboard:** https://huggingface.co/spaces/ought/raft-leaderboard
@@ -143,51 +143,80 @@ For the three datasets that we introduced:
 * **Semiconductor org types** The dataset was originally created to understand better which countries’ organisations have contributed most to semiconductor R\&D over the past 25 years using three main conferences. Moreover, to estimate the share of academic and private sector contributions, the organisations were classified as “university”, “research institute” or “company”.
 * **TAI Safety Research** The primary motivations for assembling this database were to: (1) Aid potential donors in assessing organizations focusing on TAI safety by collecting and analyzing their research output. (2) Assemble a comprehensive bibliographic database that can be used as a base for future projects, such as a living review of the field.
 
+**For the following sections, we will only describe the datasets we introduce. All other dataset details, and more details on the ones described here, can be found in our paper.**
 
 ### Source Data
 
 #### Initial Data Collection and Normalization
 
-* **NeurIPS impact statement risks** 
-* **Semiconductor org types** 
-* **TAI Safety Research** 
+* **NeurIPS impact statement risks** The data was directly observable (raw text scraped) for the most part; although some data was taken from previous datasets (which themselves had taken it from raw text). The data was validated, but only in part, by human reviewers. Cf this link for full details:
+* **Semiconductor org types** We used the IEEE API to obtain institutions that contributed papers to semiconductor conferences in the last 25 years. This is a random sample of 500 of them with a corresponding conference paper title. The three conferences were the International Solid-State Circuits Conference (ISSCC), the Symposia on VLSI Technology and Circuits (VLSI) and the International Electron Devices Meeting (IEDM).
+* **TAI Safety Research** We asked TAI safety organizations for what their employees had written, emailed some individual authors, and searched Google Scholar. See the LessWrong post for more details: https://www.lesswrong.com/posts/4DegbDJJiMX2b3EKm/tai-safety-bibliographic-database
+
+
 #### Who are the source language producers?
 
-[More Information Needed]
+* **NeurIPS impact statement risks** Language generated from NeurIPS 2020 impact statement authors, generally the authors of submission papers.
+* **Semiconductor org types** Language generated from IEEE API. Generally machine-formatted names, and title of academic papers.
+* **TAI Safety Research** Language generated by authors of TAI safety research publications.
 
 ### Annotations
 
 #### Annotation process
 
-[More Information Needed]
+* **NeurIPS impact statement risks** Annotations were entered directly into a Google Spreadsheet with instructions, labeled training examples, and unlabeled testing examples. 
+* **Semiconductor org types** Annotations were entered directly into a Google Spreadsheet with instructions, labeled training examples, and unlabeled testing examples. 
+* **TAI Safety Research** N/A
+
 
 #### Who are the annotators?
 
-[More Information Needed]
+* **NeurIPS impact statement risks** Contractors paid by Ought performed the labeling of whether impact statements mention harmful applications. A majority vote was taken from 3 annotators.
+* **Semiconductor org types** Contractors paid by Ought performed the labeling of organization types. A majority vote was taken from 3 annotators.
+* **TAI Safety Research** The dataset curators annotated the dataset by hand.
+
 
 ### Personal and Sensitive Information
 
-[More Information Needed]
+It is worth mentioning that the Tweet Eval Hate, by necessity, contains highly offensive content.
+
+* **NeurIPS impact statement risks** The dataset contains authors' names. These were scraped from publicly available scientific papers submitted to NeurIPS 2020.
+* **Semiconductor org types** N/A
+* **TAI Safety Research** N/A
+
 
 ## Considerations for Using the Data
 
 ### Social Impact of Dataset
 
-[More Information Needed]
+* **NeurIPS impact statement risks** N/A
+* **Semiconductor org types** N/A
+* **TAI Safety Research** N/A
+
 
 ### Discussion of Biases
 
-[More Information Needed]
+* **NeurIPS impact statement risks** N/A
+* **Semiconductor org types** N/A
+* **TAI Safety Research** N/A
+
 
 ### Other Known Limitations
 
-[More Information Needed]
+* **NeurIPS impact statement risks** This dataset has limitations that should be taken into consideration when using it. In particular, the method used to collect broader impact statements involved automated downloads, conversions and scraping and was not error-proof. Although care has been taken to identify and correct as many errors as possible, not all texts have been reviewed by a human. This means it is possible some of the broader impact statements contained in the dataset are truncated or otherwise incorrectly extracted from their original article.
+* **Semiconductor org types** N/A
+* **TAI Safety Research** Don't use it to create a dangerous AI that could bring the end of days.
+
 
 ## Additional Information
 
 ### Dataset Curators
 
-[More Information Needed]
+The overall RAFT curators are Neel Alex, Eli Lifland, and Andreas Stuhlmüller.
+
+* **NeurIPS impact statement risks** Volunteers working with researchers affiliated to Oxford's Future of Humanity Institute (Carolyn Ashurst, now at The Alan Turing Institute) created the impact statements dataset.
+* **Semiconductor org types** The data science unit of Stiftung Neue Verantwortung (Berlin).
+* **TAI Safety Research** Angelica Deibel and Jess Riedel.  We did not do it on behalf of any entity.
 
 ### Licensing Information