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README.md
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license: agpl-3.0
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---
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---
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license: agpl-3.0
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---
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Datasheet: Herodotos Project Dataset
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For what purpose was the dataset created? Was there a specific task in
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mind? Was there a specific gap that needed to be filled? Please provide
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a description.
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- created for Herodotos Project to train NER-Tagger (BiLSTM CRF; see:
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Alexander Erdmann, David Joseph Wrisley, Benjamin Allen, Christopher
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Brown, Sophie Cohen Bodénès, Micha Elsner, Yukun Feng, Brian Joseph,
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Béatrice Joyeaux-Prunel and Marie-Catherine de Marneffe. 2019.
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"[Practical, Efficient, and Customizable Active Learning for Named
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Entity Recognition in the Digital
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Humanities](https://github.com/alexerdmann/HER/blob/master/HER_NAACL2019_preprint.pdf)."
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In Proceedings of North American Association of Computational
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Linguistics (NAACL 2019). Minneapolis, Minnesota.)
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- Goal of Herodotos Project: catalogue and compendium of ancient ethnic
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groups
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- For more info on the corpus see:
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https://aclanthology.org/W16-4012.pdf
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Who created the dataset (e.g., which team, research group) and on behalf
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of which entity (e.g., company, institution, organization)?
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- from the documentation: „The data files in the **Annotation** directory
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were annotated for named entities by a team of Classics experts at Ohio
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State University. Texts presently included are excerpts from Caesar's
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Wars, both Gallic (GW) and Civil (CW), the Plinies' writings, both
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Elder and Younger, and Ovid's Ars Amatoria. "
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+
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Who funded the creation of the dataset? If there is an associated grant,
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please provide the name of the grantor and the grant name and number.
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- unknown
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Any other comments?
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- No
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What do the instances that comprise the dataset represent (e.g.,
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documents, photos, people, countries)? Are there multiple types of
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instances (e.g., movies, users, and ratings; people and interactions
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between them; nodes and edges)? Please provide a description.
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- 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."
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How many instances are there in total (of each type, if appropriate)?
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- 146,066 words
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Does the dataset contain all po-ssible instances or is it a sample (not
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necessarily random) of instances from a larger set? If the dataset is a
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sample, then what is the larger set? Is the sample representative of the
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larger set (e.g., geographic coverage)? If so, please describe how this representativeness was validated/verified. If it is not
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representative of the larger set, please describe why not (e.g., to
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cover a more diverse range of instances, because instances were withheld
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or unavailable).
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- sample of Latin literature (see previous answers), representative of
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Classical Latin literature, might not be representative of the entire Latin
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literature (time, geography)
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What data does each instance consist of? "Raw" data (e.g., unprocessed
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text or images) or features? In either case, please provide a
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description.
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- Each instance consists of raw text data
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Is there a label or target associated with each instance? If so, please
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provide a description.
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- NER Labels: PRS-B, PRS-I, GEO-B, GEO-I, GRP-B, GRP-I or 0
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- labels follow the BIO scheme
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- see also: https://aclanthology.org/W16-4012.pdf
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Is any information missing from individual instances? If so, please
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provide a description, explaining why this information is missing (e.g.,
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because it was unavailable). This does not include intentionally removed
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information, but might include, e.g., redacted text.
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- No
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Are relationships between individual instances made explicit (e.g.,
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users' movie ratings, social network links)? If so, please describe how
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these relationships are made explicit.
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- Relationships are made explicit according to the BIO scheme
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Are there recommended data splits (e.g., training,
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development/validation, testing)? If so, please provide a description of
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these splits, explaining the rationale behind them.
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- Text from Gallic War is split into test and train sets
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Are there any errors, sources of noise, or redundancies in the dataset?
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If so, please provide a description.
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- Naturally occurring repetitions of names in the texts
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Is the dataset self-contained, or does it link to or otherwise rely on
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external resources (e.g., websites, tweets, other datasets)? If it links
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to or relies on external resources, a) are there guarantees that they
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will exist, and remain constant, over time; b) are there official
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archival versions of the complete dataset (i.e., including the external
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resources as they existed at the time the dataset was created); c) are
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there any restrictions (e.g., licenses, fees) associated with any of the
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external resources that might apply to a dataset consumer? Please
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provide descriptions of all external resources and any restrictions
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associated with them, as well as links or other access points, as appropriate.
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- The dataset is self-contained and can be downloaded from GitHub
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(https://github.com/Herodotos-Project/Herodotos-Project-Latin-NER-Tagger-Annotation/blob/master/README.md)
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Does the dataset contain data that might be considered confidential
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(e.g., data that is protected by legal privilege or by doctor--patient
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confidentiality, data that includes the content of individuals'
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non-public communications)? If so, please provide a description.
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- No
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Does the dataset contain data that, if viewed directly, might be
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offensive, insulting, threatening, or might otherwise cause anxiety? If
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so, please describe why. If the dataset does not relate to people, you
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may skip the remaining questions in this section.
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- The dataset contains descriptions of war.
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Does the dataset identify any subpopulations (e.g., by age, gender)? If
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so, please describe how these subpopulations are identified and provide
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a description of their respective distributions within the dataset.
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- A number of ethnic groups from antiquity are referred to.
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Is it possible to identify individuals (i.e., one or more natural
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persons), either directly or indirectly (i.e., in combination with other
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data) from the dataset? If so, please describe how.
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- Only historical individuals
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Does the dataset contain data that might be considered sensitive in any
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way (e.g., data that reveals race or ethnic origins, sexual
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orientations, religious beliefs, political opinions or union
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memberships, or locations; financial or health data; biometric or
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genetic data; forms of government identification, such as social
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security numbers; criminal history)? If so, please provide a
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description.
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- Only historical individuals
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Any other comments?
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- No
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How was the data associated with each instance acquired? Was the data
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directly observable (e.g., raw text, movie ratings), reported by
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subjects (e.g., survey responses), or indirectly inferred/derived from
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other data (e.g., part-of-speech tags, model-based guesses for age or
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language)?
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- The data consists of publicly available texts
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If the data was reported by subjects or indirectly inferred/derived from
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other data, was the data validated/verified? If so, please describe how.
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- unknown
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What mechanisms or procedures were used to collect the data (e.g.,
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hardware apparatuses or sensors, manual human curation, software
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programs, software APIs)? How were these mechanisms or procedures
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validated?
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- from the documentation: „All texts are in Latin taken from the [Latin
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Library Collection](https://www.theLatinlibrary.com/) (collected by
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[CLTK](https://github.com/cltk/Latin_text_Latin_library)) or the
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[Perseus Latin
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Collection](http://www.perseus.tufts.edu/hopper/collection?collection=Perseus:collection:Greco-Roman).
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"
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If the dataset is a sample from a larger set, what was the sampling
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strategy (e.g., deterministic, probabilistic with specific sampling
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probabilities)?
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- unknown
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Who was involved in the data collection process (e.g., students,
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crowdworkers, contractors) and how were they compensated (e.g., how much
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were crowdworkers paid)?
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- <https://aclanthology.org/W16-4012.pdf> S. 87: "an undergraduate, a
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graduate, and a professor of Classics, each with at least 4 years of
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experience studying Latin"
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Over what timeframe was the data collected? Does this timeframe match
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the creation timeframe of the data associated with the instances (e.g.,
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recent crawl of old news articles)? If not, please describe the
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timeframe in which the data associated with the instances was created.
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Were any ethical review processes conducted (e.g., by an institutional
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review board)? If so, please provide a description of these review
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processes, including the outcomes, as well as a link or other access
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point to any supporting documentation. If the dataset does not relate to
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people, you may skip the remaining questions in this section.
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- unknown
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Did you collect the data from the individuals in question directly, or
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obtain it via third parties or other sources (e.g., websites)? Were the
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individuals in question notified about the data collection? If so,
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please describe (or show with screenshots or other information) how
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notice was provided, and provide a link or other access point to, or
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otherwise reproduce, the exact language of the notification itself.
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- not applicable
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Did the individuals in question consent to the collection and use of
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their data? If so, please describe (or show with screenshots or other
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information) how consent was requested and provided, and provide a link
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or other access point to, or otherwise reproduce, the exact language to
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which the individuals consented.
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- not applicable
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If consent was obtained, were the consenting individuals provided with a
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mechanism to revoke their consent in the future or for certain uses? If
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so, please provide a description, as well as a link or other access
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point to the mechanism (if appropriate).
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- not applicable
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Has an analysis of the potential impact of the dataset and its use on
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data subjects (e.g., a data protection impact analysis) been conducted?
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If so, please provide a description of this analysis, including the
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outcomes, as well as a link or other access point to any supporting
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documentation.
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- not applicable
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Any other comments?
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- No
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Preprocessing/cleaning/labeling
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Was any preprocessing/cleaning/labeling of the data done (e.g.,
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discretization or bucketing, tokenization, part-of-speech tagging, SIFT
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feature extraction, removal of instances, processing of missing values)?
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If so, please provide a description. If not, you may skip the remainder
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of the questions in this section.
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- The data was manually annotated for NEs.
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Was the "raw" data saved in addition to the preprocessed/cleaned/labeled
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data (e.g., to support unanticipated future uses)? If so, please provide a link or other
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access point to the "raw" data.
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- The data can be downloaded from:
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https://github.com/clmarr/Herodotos-beta/tree/f22fdd92b3318cfb8fc93b004b0947aea14ce9c2/Annotation_1-1-19
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Any other comments?
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-No
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Uses
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Has the dataset been used for any tasks already? If so, please provide a
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description.
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- It has been used to train an NER-Tagger for Latin. See:
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<https://aclanthology.org/W16-4012.pdf> and
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https://github.com/alexerdmann/HER/blob/master/HER_NAACL2019_preprint.pdf
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Is there a repository that links to any or all papers or systems that
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use the dataset? If so, please provide a link or other access point.
|
277 |
+
What (other) tasks could the dataset be used for?
|
278 |
+
|
279 |
+
- See:
|
280 |
+
https://github.com/alexerdmann/HER/blob/master/HER_NAACL2019_preprint.pdf
|
281 |
+
|
282 |
+
Is there anything about the composition of the dataset or the way it was
|
283 |
+
collected and preprocessed/cleaned/labeled that might impact future
|
284 |
+
uses? For example, is there anything that a dataset consumer might need
|
285 |
+
to know to avoid uses that could result in unfair treatment of
|
286 |
+
individuals or groups (e.g., stereotyping, quality of service issues) or
|
287 |
+
other risks or harms (e.g., legal risks, financial harms)? If so, please
|
288 |
+
provide a description. Is there anything a dataset consumer could do to
|
289 |
+
mitigate these risks or harms?
|
290 |
+
|
291 |
+
- Strong class imbalance (most tokens are non-entities)
|
292 |
+
|
293 |
+
Are there tasks for which the dataset should not be used? If so, please
|
294 |
+
provide a description.
|
295 |
+
|
296 |
+
- No
|
297 |
+
|
298 |
+
Any other comments?
|
299 |
+
|
300 |
+
- No
|
301 |
+
|
302 |
+
Distribution
|
303 |
+
|
304 |
+
Will the dataset be distributed to third parties outside of the entity
|
305 |
+
(e.g., company, institution, organization) on behalf of which the
|
306 |
+
dataset was created? If so, please provide a description. How will the dataset will be distributed (e.g., tarball on website, API,
|
307 |
+
GitHub)?
|
308 |
+
|
309 |
+
- The data can be downloaded from:
|
310 |
+
https://github.com/clmarr/Herodotos-beta/tree/f22fdd92b3318cfb8fc93b004b0947aea14ce9c2/Annotation_1-1-19
|
311 |
+
|
312 |
+
Does the dataset have a digital object identifier (DOI)?
|
313 |
+
|
314 |
+
- No
|
315 |
+
|
316 |
+
When will the dataset be distributed?
|
317 |
+
|
318 |
+
- The data can be downloaded from:
|
319 |
+
- <https://github.com/clmarr/Herodotos-beta/tree/f22fdd92b3318cfb8fc93b004b0947aea14ce9c2/Annotation_1-1-19>
|
320 |
+
- <https://github.com/Herodotos-Project/Herodotos-Project-Latin-NER-Tagger-Annotation>
|
321 |
+
|
322 |
+
Will the dataset be distributed under a copyright or other intellectual
|
323 |
+
property (IP) license, and/or under applicable terms of use (ToU)? If
|
324 |
+
so, please describe this license and/or ToU, and provide a link or other
|
325 |
+
access point to, or otherwise reproduce, any relevant licensing terms or
|
326 |
+
ToU, as well as any fees associated with these restrictions.
|
327 |
+
|
328 |
+
- [AGPL-3.0 license](https://github.com/Herodotos-Project/Herodotos-Project-Latin-NER-Tagger-Annotation/blob/master/LICENSE)
|
329 |
+
|
330 |
+
Have any third parties imposed IP-based or other restrictions on the
|
331 |
+
data associated with the instances? If so, please describe these
|
332 |
+
restrictions, and provide a link or other access point to, or otherwise
|
333 |
+
reproduce, any relevant licensing terms, as well as any fees associated
|
334 |
+
with these restrictions.
|
335 |
+
|
336 |
+
- unknown
|
337 |
+
|
338 |
+
Do any export controls or other regulatory restrictions apply to the
|
339 |
+
dataset or to individual instances? If so, please describe these
|
340 |
+
restrictions, and provide a link or other access point to, or otherwise
|
341 |
+
reproduce, any supporting documentation.
|
342 |
+
|
343 |
+
- unknown
|
344 |
+
|
345 |
+
Any other comments?
|
346 |
+
|
347 |
+
- No
|
348 |
+
|
349 |
+
Maintenance
|
350 |
+
|
351 |
+
Who will be supporting/hosting/maintaining the dataset?
|
352 |
+
|
353 |
+
- from the documentation: "Contact [[email protected]](mailto:[email protected]) or any of the co-authors with questions regarding this repository."
|
354 |
+
|
355 |
+
How can the owner/curator/manager of the dataset be contacted (e.g.,
|
356 |
+
email address)?
|
357 |
+
|
358 |
+
- [[email protected]](mailto:[email protected])
|
359 |
+
|
360 |
+
Is there an erratum? If so, please provide a link or other access point.
|
361 |
+
Will the dataset be updated (e.g., to correct labeling errors, add new
|
362 |
+
instances, delete instances)? If so, please describe how often, by whom,
|
363 |
+
and how updates will be communicated to dataset consumers (e.g., mailing
|
364 |
+
list, GitHub)?
|
365 |
+
|
366 |
+
- new instances for the Ancient Greek language will be added in the
|
367 |
+
future
|
368 |
+
|
369 |
+
If the dataset relates to people, are there applicable limits on the
|
370 |
+
retention of the data associated with the instances (e.g., were the
|
371 |
+
individuals in question told that their data would be retained for a
|
372 |
+
fixed period of time and then deleted)? If so, please describe these
|
373 |
+
limits and explain how they will be enforced.
|
374 |
+
|
375 |
+
- not applicable
|
376 |
+
|
377 |
+
Will older versions of the dataset continue to be
|
378 |
+
supported/hosted/maintained? If so, please describe how. If not, please
|
379 |
+
describe how its obsolescence will be communicated to dataset consumers.
|
380 |
+
|
381 |
+
- unknown
|
382 |
+
|
383 |
+
If others want to extend/augment/build on/contribute to the dataset, is
|
384 |
+
there a mechanism for them to do so? If so, please provide a
|
385 |
+
description. Will these contributions be validated/verified? If so, please describe how. If not, why not? Is there a process for
|
386 |
+
communicating/distributing these contributions to dataset consumers? If
|
387 |
+
so, please provide a description.
|
388 |
+
|
389 |
+
- unknown
|
390 |
+
|
391 |
+
Any other comments?
|
392 |
+
|
393 |
+
- No
|