Labelled data for fine tuning a geological Named Entity Recognition and Entity Relation Extraction model

This dataset consists of sentences extracted from BGS memoirs, technical reports, onshore hydrocarbons well reports and Mineral Reconnaisance Programme reports. The sentences have been annotated to enable the dataset to be used as labelled training data for a Named Entity Recognition model and Entity Relation Extraction model, both of which are Natural Language Processing (NLP) techniques that assist with extracting structured data from unstructured text. The entities of interest are rock formations, geological ages, rock types, physical properties and locations, with inter-relations such as "overlies", "observedIn". The data can be used to fine tune a pre-trained large language model using transfer learning, to create a model that can be used in inference mode to automatically create the labels, thereby creating structured data useful for geological modelling and subsurface characterisation. The data is provided in "JSONL(Relation)" format which is the export format from doccano open source text annotation software ( https://doccano.github.io/doccano/) used to create the labels, and an alternative jsonlines format used by open source model training software https://github.com/princeton-nlp/PURE The source documents are already publicly available, but some only in pdf image form. The dataset is currently a proof of concept, and of insufficient volume to build a performant model. The development of this training data and the text processing scripts were supported by a grant from UK Government Office for Technology Transfer (GOTT) Knowledge Asset Grant Fund Project 10083604

Date (Creation): 2024-02-15

Citation identifier: http://data.bgs.ac.uk/id/dataHolding/13608217

Point of contact

Organisation name	Individual name	Electronic mail address	Role
British Geological Survey	Enquiries	enquiries@bgs.ac.uk	Distributor
British Geological Survey	Enquiries	enquiries@bgs.ac.uk	Point of contact
British Geological Survey	Enquiries	enquiries@bgs.ac.uk	Principal investigator

Maintenance and update frequency: Not planned

GEMET - INSPIRE themes, version 1.0

Geology

BGS Thesaurus of Geosciences

Physical properties
Mathematical programming
data.gov.uk (non-INSPIRE)
Stratigraphic unit

dataCentre

data.gov.uk (non-INSPIRE)

Keywords

NERC_DDC

Access constraints: Other restrictions

Other constraints: licenceOGL

Other constraints: Available under the Open Government Licence subject to the following acknowledgement accompanying the reproduced NERC materials "Contains NERC materials ©NERC [year]"

Use constraints: Other restrictions

Other constraints: The copyright of materials derived from the British Geological Survey's work is vested in the Natural Environment Research Council [NERC]. No part of this work may be reproduced or transmitted in any form or by any means, or stored in a retrieval system of any nature, without the prior permission of the copyright holder, via the BGS Intellectual Property Rights Manager. Use by customers of information provided by the BGS, is at the customer's own risk. In view of the disparate sources of information at BGS's disposal, including such material donated to BGS, that BGS accepts in good faith as being accurate, the Natural Environment Research Council (NERC) gives no warranty, expressed or implied, as to the quality or accuracy of the information supplied, or to the information's suitability for any use. NERC/BGS accepts no liability whatever in respect of loss, damage, injury or other occurence however caused.

Other constraints: Available under the Open Government Licence subject to the following acknowledgement accompanying the reproduced NERC materials "Contains NERC materials ©NERC [year]"

Language: English

Topic category

Geoscientific information

Begin date: 2023-11-01

End date: 2024-02-15

Reference System Information

No information provided.

Distribution format

Name	Version
jsonlines	doccano JSONL(Relation)
jsonlines	PURE relations

Distributor contact

Organisation name	Individual name	Electronic mail address	Role
British Geological Survey	Enquiries	enquiries@bgs.ac.uk	Distributor

OnLine resource

Protocol	Linkage	Name
	https://github.com/BritishGeologicalSurvey/princeton-nlp-relation-extraction	BGS github repository

Hierarchy level: Non geographic dataset

Other: non geographic dataset

Conformance result

Title: INSPIRE Implementing rules laying down technical arrangements for the interoperability and harmonisation of Geology

Date (Publication): 2011

Explanation: See the referenced specification

Pass: No

Conformance result

Title: Commission Regulation (EU) No 1089/2010 of 23 November 2010 implementing Directive 2007/2/EC of the European Parliament and of the Council as regards interoperability of spatial data sets and services