SlowGuess/NeurIPS_2023_OCR huggingface dataset:
Yes. Some workers try to finish the work as quickly as possible, therefore when we ask them to offer a rationale for choosing a certain turn as a pragmatic turn, they simply type an "a" in the box. However, the situation is rare, and we blocked the workers and clean the data out of our dataset.
10. Is the dataset self-contained, or does it link to or otherwise rely on external resources (e.g., websites, tweets, other datasets)? (If it links to or relies on external resources, a) are there guarantees that they will exist, and remain constant, over time; b) are there official archival versions of the complete dataset (i.e., including the external resources as they existed at the time the dataset was created); c) are there any restrictions (e.g., licenses, fees) associated with any of the external resources that might apply to a future user? Please provide descriptions of all external resources and any restrictions associated with them, as well as links or other access points, as appropriate.)
It's self-contained.
11. Does the dataset contain data that might be considered confidential (e.g., data that is protected by legal privilege or by doctor-patient confidentiality, data that includes the content of individuals' non-public communications)? (If so, please provide a description.)
12. Does the dataset contain data that, if viewed directly, might be offensive, insulting, threatening, or might otherwise cause anxiety? (If so, please describe why.)
Yes. Some of the topic are big events, they may be offensive for some people. However, we consider our dataset's offensiveness to be limited, for the source dataset is a TV show transcript.
13. Does the dataset relate to people? (If not, you may skip the remaining questions in this section.)
14. Does the dataset identify any subpopulations (e.g., by age, gender)? (If so, please describe how these subpopulations are identified and provide a description of their respective distributions within the dataset.)
No. This is not explicitly identified
15. Is it possible to identify individuals (i.e., one or more natural persons), either directly or indirectly (i.e., in combination with other data) from the dataset? (If so, please describe how.)
Yes; their names are given in running text.
16. Does the dataset contain data that might be considered sensitive in any way (e.g., data that reveals racial or ethnic origins, sexual orientations, religious beliefs, political opinions or union memberships, or locations; financial or health data; biometric or genetic data; forms of government identification, such as social security numbers; criminal history)? (If so, please provide a description.)
Yes. Our dataset may have dialogues talking about religious, politics and so on.
17. Any other comments?
J.3 Collection Process
1. How was the data associated with each instance acquired? (Was the data directly observable (e.g., raw text, movie ratings), reported by subjects (e.g., survey responses), or indirectly inferred/derived from other data (e.g., part-of-speech tags, model-based guesses for age or language)? If data was reported by subjects or indirectly inferred/derived from other data, was the data validated/verified? If so, please describe how.)
The data all comes from an interview dataset already published. (See our paper)
2. What mechanisms or procedures were used to collect the data (e.g., hardware apparatus or sensor, manual human curation, software program, software API)? (How were these mechanisms or procedures validated?)
Software program and manual human curation (2 times). See our paper for details.
3. If the dataset is a sample from a larger set, what was the sampling strategy (e.g., deterministic, probabilistic with specific sampling probabilities)?
4. Who was involved in the data collection process (e.g., students, crowdworkers, contractors) and how were they compensated (e.g., how much were crowdworkers paid)?
Crowdworkers. They are paid nicely. See Appendix for detail.
5. Over what timeframe was the data collected? (Does this timeframe match the creation timeframe of the data associated with the instances (e.g., recent crawl of old news articles)? If not, please describe the timeframe in which the data associated with the instances was created.)
The dataset was collected in the early Spring of 2023, which does not necessarily reflect the timeframe of the data collected.
6. Were any ethical review processes conducted (e.g., by an institutional review board)? (If so, please provide a description of these review processes, including the outcomes, as well as a link or other access point to any supporting documentation.)
No review processes were conducted with respect to the collection and annotation of this data (though review was done for other aspects of this work; see the paper linked at the top of the datasheet).
7. Does the dataset relate to people? (If not, you may skip the remaining questions in this section.) Yes.
8. Did you collect the data from the individuals in question directly, or obtain it via third parties or other sources (e.g., websites)?
Other sources. By curating a published dataset.
9. Were the individuals in question notified about the data collection? (If so, please describe (or show with screenshots or other information) how notice was provided, and provide a link on other access point to, or otherwise reproduce, the exact language of the notification itself.) No.
10. Did the individuals in question consent to the collection and use of their data? (If so, please describe (or show with screenshots or other information) how consent was requested and provided, and provide a link or other access point to, or otherwise reproduce, the exact language to which the individuals consented.)
No. All data are public.
11. If consent was obtained, were the consenting individuals provided with a mechanism to revoke their consent in the future or for certain uses? (If so, please provide a description, as well as a link or other access point to the mechanism (if appropriate).)
12. Has an analysis of the potential impact of the dataset and its use on data subjects (e.g., a data protection impact analysis) been conducted? (If so, please provide a description of this analysis, including the outcomes, as well as a link or other access point to any supporting documentation.)
No. We consider our dataset having a limited negative effect, for all of our data has been published for more than a year.
13. Any other comments? None.
J.4 Preprocessing/cleaning/labeling
1. Was any preprocessing/cleaning/labeling of the data done (e.g., discretization or bucketing, tokenization, part-of-speech tagging, SIFT feature extraction, removal of instances, processing of missing values)? (If so, please provide a description. If not, you may skip the remainder of the questions in this section.)
J.5 Uses
1. Has the dataset been used for any tasks already? (If so, please provide a description.) Yes. See our paper for details.
2. Is there a repository that links to any or all papers or systems that use the dataset? (If so, please provide a link or other access point.) No.
3. What (other) tasks could the dataset be used for? Many more. Such as generation of implied meanings.
4. Is there anything about the composition of the dataset or the way it was collected and preprocessed/cleaned/labeled that might impact future uses? (For example, is there anything that a future user might need to know to avoid uses that could result in unfair treatment of individuals or groups (e.g., stereotyping, quality of service issues) or other undesirable harms (e.g., financial harms, legal risks) If so, please provide a description. Is there anything a future user could do to mitigate these undesirable harms?) No.
5. Are there tasks for which the dataset should not be used? (If so, please provide a description.) No.
6. Any other comments? None.
J.6 Distribution
1. Will the dataset be distributed to third parties outside of the entity (e.g., company, institution, organization) on behalf of which the dataset was created? (If so, please provide a description.) Yes, the dataset is freely available.
2. How will the dataset will be distributed (e.g., tarball on website, API, GitHub)? (Does the dataset have a digital object identifier (DOI)?) On our website.
3. When will the dataset be distributed? It's already been distributed.
4. Will the dataset be distributed under a copyright or other intellectual property (IP) license and/or under applicable terms of use (ToU)? (If so, please describe this license and/or ToU and provide a link or other access point to, or otherwise reproduce, any relevant licensing terms or ToU, as well as any fees associated with these restrictions.) The dataset is licensed under a CC license.
5. Have any third parties imposed IP-based or other restrictions on the data associated with the instances? (If so, please describe these restrictions, and provide a link or other access point to, or otherwise reproduce, any relevant licensing terms, as well as any fees associated with these restrictions.) Not to our knowledge.
6. Do any export controls or other regulatory restrictions apply to the dataset or to individual instances? (If so, please describe these restrictions, and provide a link or other access point to, or otherwise reproduce, any supporting documentation.) Not to our knowledge.
7. Any other comments? None.
J.7 Maintenance
1. Who is supporting/hosting/maintaining the dataset?
2. How can the owner/curator/manager of the dataset be contacted (e.g., email address)?
We will post our email address.
3. Is there an erratum? (If so, please provide a link or other access point.)
Currently, no. As errors are encountered, future versions of the dataset may be released (but will be versioned). They will all be provided in the same location.
4. Will the dataset be updated (e.g., to correct labeling errors, add new instances, delete instances'? (If so, please describe how often, by whom, and how updates will be communicated to users (e.g., mailing list, GitHub)?)
Yes. However, the frequency isn't determined, and we'll publish the updated dataset on the same website if an renewal occurs, and we'll announce it on the website.
5. If the dataset relates to people, are there applicable limits on the retention of the data associated with the instances (e.g., were individuals in question told that their data would be retained for a fixed period of time and then deleted)? (If so, please describe these limits and explain how they will be enforced.)
6. Will older versions of the dataset continue to be supported/hosted/maintained? (If so, please describe how. If not, please describe how its obsolescence will be communicated to users.)
Yes. The older versions of the dataset will be available on the website.
7. If others want to extend/augment/build on/contribute to the dataset, is there a mechanism for them to do so? (If so, please provide a description. Will these contributions be validated/verified? If so, please describe how. If not, why not? Is there a process for communicating/distributing these contributions to other users? If so, please provide a description.)
Yes. They can email us.