Update README.md

README.md

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----
-license: agpl-3.0
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+---
+license: agpl-3.0
+---
+Datasheet: Herodotos Project Dataset
+
+For what purpose was the dataset created? Was there a specific task in
+mind? Was there a specific gap that needed to be filled? Please provide
+a description.
+
+- created for Herodotos Project to train NER-Tagger (BiLSTM CRF; see:
+Alexander Erdmann, David Joseph Wrisley, Benjamin Allen, Christopher
+Brown, Sophie Cohen Bodénès, Micha Elsner, Yukun Feng, Brian Joseph,
+Béatrice Joyeaux-Prunel and Marie-Catherine de Marneffe. 2019.
+"[Practical, Efficient, and Customizable Active Learning for Named
+Entity Recognition in the Digital
+Humanities](https://github.com/alexerdmann/HER/blob/master/HER_NAACL2019_preprint.pdf)."
+In Proceedings of North American Association of Computational
+Linguistics (NAACL 2019). Minneapolis, Minnesota.)
+
+- Goal of Herodotos Project: catalogue and compendium of ancient ethnic
+groups
+
+- For more info on the corpus see:
+https://aclanthology.org/W16-4012.pdf
+
+Who created the dataset (e.g., which team, research group) and on behalf
+of which entity (e.g., company, institution, organization)?
+
+- from the documentation: „The data files in the **Annotation** directory
+were annotated for named entities by a team of Classics experts at Ohio
+State University. Texts presently included are excerpts from Caesar's
+Wars, both Gallic (GW) and Civil (CW), the Plinies' writings, both
+Elder and Younger, and Ovid's Ars Amatoria. "
+
+Who funded the creation of the dataset? If there is an associated grant,
+please provide the name of the grantor and the grant name and number.
+
+- unknown
+
+Any other comments?
+
+- No
+
+What do the instances that comprise the dataset represent (e.g.,
+documents, photos, people, countries)? Are there multiple types of
+instances (e.g., movies, users, and ratings; people and interactions
+between them; nodes and edges)? Please provide a description.
+
+- Latin texts "Texts presently included are excerpts from Caesar's Wars, both Gallic (GW) and Civil (CW), the Plinies' writings, both Elder and Younger, and Ovid's Ars Amatoria."
+
+How many instances are there in total (of each type, if appropriate)?
+
+- 146,066 words
+
+Does the dataset contain all po-ssible instances or is it a sample (not
+necessarily random) of instances from a larger set? If the dataset is a
+sample, then what is the larger set? Is the sample representative of the
+larger set (e.g., geographic coverage)? If so, please describe how this representativeness was validated/verified. If it is not
+representative of the larger set, please describe why not (e.g., to
+cover a more diverse range of instances, because instances were withheld
+or unavailable).
+
+- sample of Latin literature (see previous answers), representative of
+Classical Latin literature, might not be representative of the entire Latin
+literature (time, geography)
+
+What data does each instance consist of? "Raw" data (e.g., unprocessed
+text or images) or features? In either case, please provide a
+description.
+
+- Each instance consists of raw text data
+
+Is there a label or target associated with each instance? If so, please
+provide a description.
+
+- NER Labels: PRS-B, PRS-I, GEO-B, GEO-I, GRP-B, GRP-I or 0
+- labels follow the BIO scheme
+- see also: https://aclanthology.org/W16-4012.pdf
+
+Is any information missing from individual instances? If so, please
+provide a description, explaining why this information is missing (e.g.,
+because it was unavailable). This does not include intentionally removed
+information, but might include, e.g., redacted text.
+
+- No
+
+Are relationships between individual instances made explicit (e.g.,
+users' movie ratings, social network links)? If so, please describe how
+these relationships are made explicit.
+
+- Relationships are made explicit according to the BIO scheme
+
+Are there recommended data splits (e.g., training,
+development/validation, testing)? If so, please provide a description of
+these splits, explaining the rationale behind them.
+
+- Text from Gallic War is split into test and train sets
+
+Are there any errors, sources of noise, or redundancies in the dataset?
+If so, please provide a description.
+
+- Naturally occurring repetitions of names in the texts
+
+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 dataset consumer? Please
+provide descriptions of all external resources and any restrictions
+associated with them, as well as links or other access points, as appropriate.
+
+- The dataset is self-contained and can be downloaded from GitHub
+(https://github.com/Herodotos-Project/Herodotos-Project-Latin-NER-Tagger-Annotation/blob/master/README.md)
+
+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.
+
+- No
+
+Does the dataset contain data that, if viewed directly, might be
+offensive, insulting, threatening, or might otherwise cause anxiety? If
+so, please describe why. If the dataset does not relate to people, you
+may skip the remaining questions in this section.
+
+- The dataset contains descriptions of war.
+
+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.
+
+- A number of ethnic groups from antiquity are referred to.
+
+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.
+
+- Only historical individuals
+
+Does the dataset contain data that might be considered sensitive in any
+way (e.g., data that reveals race 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.
+
+- Only historical individuals
+
+Any other comments?
+
+- No
+
+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)?
+
+- The data consists of publicly available texts
+
+If the data was reported by subjects or indirectly inferred/derived from
+other data, was the data validated/verified? If so, please describe how.
+
+- unknown
+
+What mechanisms or procedures were used to collect the data (e.g.,
+hardware apparatuses or sensors, manual human curation, software
+programs, software APIs)? How were these mechanisms or procedures
+validated?
+
+- from the documentation: „All texts are in Latin taken from the [Latin
+Library Collection](https://www.theLatinlibrary.com/) (collected by
+[CLTK](https://github.com/cltk/Latin_text_Latin_library)) or the
+[Perseus Latin
+Collection](http://www.perseus.tufts.edu/hopper/collection?collection=Perseus:collection:Greco-Roman).
+"
+
+If the dataset is a sample from a larger set, what was the sampling
+strategy (e.g., deterministic, probabilistic with specific sampling
+probabilities)?
+
+- unknown
+
+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)?
+
+- <https://aclanthology.org/W16-4012.pdf> S. 87: "an undergraduate, a
+graduate, and a professor of Classics, each with at least 4 years of
+experience studying Latin"
+
+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.
+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. If the dataset does not relate to
+people, you may skip the remaining questions in this section.
+
+- unknown
+
+Did you collect the data from the individuals in question directly, or
+obtain it via third parties or other sources (e.g., websites)? 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 or other access point to, or
+otherwise reproduce, the exact language of the notification itself.
+
+- not applicable
+
+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.
+
+- not applicable
+
+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).
+
+- not applicable
+
+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.
+
+- not applicable
+
+Any other comments?
+
+- No
+
+Preprocessing/cleaning/labeling
+
+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.
+
+- The data was manually annotated for NEs.
+
+Was the "raw" data saved in addition to the preprocessed/cleaned/labeled
+data (e.g., to support unanticipated future uses)? If so, please provide a link or other
+access point to the "raw" data.
+
+- The data can be downloaded from:
+https://github.com/clmarr/Herodotos-beta/tree/f22fdd92b3318cfb8fc93b004b0947aea14ce9c2/Annotation_1-1-19
+
+Any other comments?
+
+-No
+
+Uses
+
+Has the dataset been used for any tasks already? If so, please provide a
+description.
+
+- It has been used to train an NER-Tagger for Latin. See:
+<https://aclanthology.org/W16-4012.pdf> and
+https://github.com/alexerdmann/HER/blob/master/HER_NAACL2019_preprint.pdf
+
+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.
+What (other) tasks could the dataset be used for?
+
+- See:
+https://github.com/alexerdmann/HER/blob/master/HER_NAACL2019_preprint.pdf
+
+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 dataset consumer 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 risks or harms (e.g., legal risks, financial harms)? If so, please
+provide a description. Is there anything a dataset consumer could do to
+mitigate these risks or harms?
+
+- Strong class imbalance (most tokens are non-entities)
+
+Are there tasks for which the dataset should not be used? If so, please
+provide a description.
+
+- No
+
+Any other comments?
+
+- No
+
+Distribution
+
+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.  How will the dataset will be distributed (e.g., tarball on website, API,
+GitHub)?
+
+- The data can be downloaded from:
+https://github.com/clmarr/Herodotos-beta/tree/f22fdd92b3318cfb8fc93b004b0947aea14ce9c2/Annotation_1-1-19
+
+Does the dataset have a digital object identifier (DOI)?
+
+- No
+
+When will the dataset be distributed?
+
+- The data can be downloaded from:
+  - <https://github.com/clmarr/Herodotos-beta/tree/f22fdd92b3318cfb8fc93b004b0947aea14ce9c2/Annotation_1-1-19>
+  - <https://github.com/Herodotos-Project/Herodotos-Project-Latin-NER-Tagger-Annotation>
+
+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.
+
+- [AGPL-3.0 license](https://github.com/Herodotos-Project/Herodotos-Project-Latin-NER-Tagger-Annotation/blob/master/LICENSE)
+
+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.
+
+- unknown
+
+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.
+
+- unknown
+
+Any other comments?
+
+- No
+
+Maintenance
+
+Who will be supporting/hosting/maintaining the dataset?
+
+- from the documentation: "Contact [ae1541@nyu.edu](mailto:ae1541@nyu.edu) or any of the co-authors with questions regarding this repository."
+
+How can the owner/curator/manager of the dataset be contacted (e.g.,
+email address)?
+
+- [ae1541@nyu.edu](mailto:ae1541@nyu.edu)
+
+Is there an erratum? If so, please provide a link or other access point.
+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 dataset consumers (e.g., mailing
+list, GitHub)?
+
+- new instances for the Ancient Greek language will be added in the
+future
+
+If the dataset relates to people, are there applicable limits on the
+retention of the data associated with the instances (e.g., were the
+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.
+
+- not applicable
+
+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 dataset consumers.
+
+- unknown
+
+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 dataset consumers? If
+so, please provide a description.
+
+- unknown
+
+Any other comments?
+
+- No