CopCo: The Copenhagen Corpus of Eye-Tracking Recordings from Natural Reading

Hollenstein, Nora; Björnsdóttir, Marina; Barrett, Maria

dc.creator	Hollenstein, Nora
dc.creator	Björnsdóttir, Marina
dc.creator	Barrett, Maria
dc.date.accessioned	2022-12-06T15:57:27Z
dc.date.available	2022-12-06T15:57:27Z
dc.date.issued	2022
dc.identifier.uri	http://hdl.handle.net/20.500.12115/48
dc.description	CopCo is an eye-tracking corpus tailored to both psycholinguistics and natural language processing. The goal is to investigate reading behavior of Danish texts in various populations. To this end, we record eye movements of participants reading continuous Danish texts in their own speed. The CopCo corpus contains eye movement data from Danish native speakers, both from readers without dyslexia and readers with dyslexia. Additionally, there is a set of non-native speaking participants. The data contains one CSV file per participant with the computed eye-tracking metrics for each word. Each file contains the text read by the participant with one line per word. In addition to the words, word IDs, sentence IDs and text IDs, the files contain eye-tracking features for each word, namely, landing position, first fixation duration, first pass duration, go-past time, mean fixation duration, total fixation duration, number of fixations, mean saccade duration and peak saccade velocity. This project has been approved by the Ethics Commission of the Faculty of Humanities of the University of Copenhagen.
dc.language.iso	dan
dc.publisher	Centre for Language Technology, NorS, University of Copenhagen
dc.relation.isreferencedby	https://aclanthology.org/2022.lrec-1.182/
dc.rights	Creative Commons - Attribution 4.0 International (CC BY 4.0)
dc.rights.uri	http://creativecommons.org/licenses/by/4.0/
dc.rights.label	PUB
dc.source.uri	https://osf.io/ud8s5/
dc.subject	reading
dc.subject	eye-tracking
dc.subject	Danish
dc.subject	multimodal corpora
dc.subject	psycholinguistics
dc.title	CopCo: The Copenhagen Corpus of Eye-Tracking Recordings from Natural Reading
dc.type	corpus
metashare.ResourceInfo#ContentInfo.mediaType	text
has.files	yes
branding	CLARIN-DK
demo.uri	https://github.com/norahollenstein/copco-processing
contact.person	Nora; Hollenstein; nora.hollenstein@hum.ku.dk; Centre for Language Technology, NorS, University of Copenhagen
sponsor	University of Copenhagen; N/A; N/A; Other;
sponsor	IT University Copenhagen; N/A; N/A; Other;
size.info	32; texts
size.info	36888; tokens
size.info	1943; sentences
files.size	103939926
files.count	58
annotationInfo.annotationType	eye-tracking recordings

Files in this item

Download all files in item (99.12 MB)

This item is

Publicly Available

and licensed under:
Creative Commons - Attribution 4.0 International (CC BY 4.0)

Name: P04.csv
Size: 1.08 MB
Format: Unknown
Description: Extracted features P04
MD5: 224ce3775650a2c3512d77b1b9d3cfb2

Download file

Name: P03.csv
Size: 1.79 MB
Format: Unknown
Description: Extracted features P03
MD5: dbd87f147948a49d639f95c99e58c01b

Download file

Name: P01.csv
Size: 2.21 MB
Format: Unknown
Description: Extracted features P01
MD5: af46dc258c20432afe7a489413ae73fe

Download file

Name: P02.csv
Size: 2.33 MB
Format: Unknown
Description: Extracted features P02
MD5: 8568a6517e9067ad5862657a42f996c0

Download file

Name: P07.csv
Size: 2.17 MB
Format: Unknown
Description: Extracted features P07
MD5: 06e0a14eeee185223ff904096a4e3584

Download file

Name: P06.csv
Size: 1.85 MB
Format: Unknown
Description: Extracted features P06
MD5: fe1f336dcdc6a584c6ec1a7114b0256e

Download file

Name: P10.csv
Size: 2.3 MB
Format: Unknown
Description: Extracted features P10
MD5: 48985b962520a5af41158231e05918a8

Download file

Name: P09.csv
Size: 720.47 KB
Format: Unknown
Description: Extracted features P09
MD5: 1e48d38f0bc65a017e6982d49ce332e1

Download file

Name: P05.csv
Size: 2.56 MB
Format: Unknown
Description: Extracted features P05
MD5: df900ab091f629c22b4d284d915c4fd0

Download file

Name: P08.csv
Size: 861.14 KB
Format: Unknown
Description: Extracted features P08
MD5: c058ed1d1c9f945e78a488d0f23c3487

Download file

Name: P16.csv
Size: 2.15 MB
Format: Unknown
Description: Extracted features P16
MD5: 85b739cb404aecf4882e7a40d6f99d8e

Download file

Name: P15.csv
Size: 2.2 MB
Format: Unknown
Description: Extracted features P15
MD5: 54f05949141f58e03a342080b666849c

Download file

Name: P11.csv
Size: 1.95 MB
Format: Unknown
Description: Extracted features P11
MD5: 94edd9bad177352e4066b87400037c84

Download file

Name: P13.csv
Size: 1.47 MB
Format: Unknown
Description: Extracted features P13
MD5: 10ce42ea4a81b875efceff3e53a0ef22

Download file

Name: P21.csv
Size: 2.37 MB
Format: Unknown
Description: Extracted features P21
MD5: cc25230eceec118acfa6664f2999b040

Download file

Name: P19.csv
Size: 1.37 MB
Format: Unknown
Description: Extracted features P19
MD5: 87b7f0ae4c058de967492d6d6fd8fbe1

Download file

Name: P17.csv
Size: 1.17 MB
Format: Unknown
Description: Extracted features P17
MD5: 997b91b1ff34187ad86fc75cef18002e

Download file

Name: P12.csv
Size: 2.18 MB
Format: Unknown
Description: Extracted features P12
MD5: 3dc91798e371acf336bec09b61b48c24

Download file

Name: P26.csv
Size: 1.28 MB
Format: Unknown
Description: Extracted features P26
MD5: 9cd7621965a62f7501c5574448d64669

Download file

Name: P25.csv
Size: 1.35 MB
Format: Unknown
Description: Extracted features P25
MD5: be4fb65ab25d3b2b590cde1cd990c45f

Download file

Name: P23.csv
Size: 1.42 MB
Format: Unknown
Description: Extracted features P23
MD5: cc170c3863ee5440ededc0ef301afd41

Download file

Name: P20.csv
Size: 2.59 MB
Format: Unknown
Description: Extracted features P20
MD5: 735bc3a3295fe2d083921729264dd73f

Download file

Name: P18.csv
Size: 1.34 MB
Format: Unknown
Description: Extracted features P18
MD5: 5c5409225f4378f9e2c2502ae375acfa

Download file

Name: P24.csv
Size: 956.96 KB
Format: Unknown
Description: Extracted features P24
MD5: 16c6d30b325795d935cc33a6a8184982

Download file

Name: P29.csv
Size: 2.16 MB
Format: Unknown
Description: Extracted features P29
MD5: 3bf1afd4e607b01c36ecd04d799b1550

Download file

Name: P30.csv
Size: 1.67 MB
Format: Unknown
Description: Extracted features P30
MD5: 6c268e0b5b9f411388585d20ab0c8f68

Download file

Name: P27.csv
Size: 2.14 MB
Format: Unknown
Description: Extracted features P27
MD5: 57b7671c0da06f68667823e69899a6e6

Download file

Name: P28.csv
Size: 2.48 MB
Format: Unknown
Description: Extracted features P28
MD5: a8d29c3911b07465d0a6be766de88db7

Download file

Name: P35.csv
Size: 2.03 MB
Format: Unknown
Description: Extracted features P35
MD5: fe2297f655c37197669bc39e0c80b3f5

Download file

Name: P34.csv
Size: 1.61 MB
Format: Unknown
Description: Extracted features P34
MD5: ec4aa3e83ecbae65c8f2a6b41da09754

Download file

Name: P33.csv
Size: 1.31 MB
Format: Unknown
Description: Extracted features P33
MD5: 087ba84995bd38c4c7d7ea5a2ccee2ae

Download file

Name: P32.csv
Size: 1.86 MB
Format: Unknown
Description: Extracted features P32
MD5: ff91d60a9561b195493fa36088a5ca77

Download file

Name: P22.csv
Size: 1.88 MB
Format: Unknown
Description: Extracted features P22
MD5: 70bd7b05eebe9c629bda03b97f12ec13

Download file

Name: P38.csv
Size: 1.57 MB
Format: Unknown
Description: Extracted features P38
MD5: 9875cb2ecbad62cfe676987792ac28fa

Download file

Name: P39.csv
Size: 1.34 MB
Format: Unknown
Description: Extracted features P39
MD5: 8faf12577e0c874290cb321849889a95

Download file

Name: P37.csv
Size: 2.11 MB
Format: Unknown
Description: Extracted features P37
MD5: 998919d0848d9ef0bb1569311233a2fc

Download file

Name: P31.csv
Size: 1.02 MB
Format: Unknown
Description: Extracted features P31
MD5: fff56e9aa6c7417b5919956732376610

Download file

Name: P36.csv
Size: 1.01 MB
Format: Unknown
Description: Extracted features P36
MD5: 777bcbe14c0e89fcf518d670324dfdfe

Download file

Name: P45.csv
Size: 1.86 MB
Format: Unknown
Description: Extracted features P45
MD5: 6506c16d908db4554824fba72b1d364b

Download file

Name: P44.csv
Size: 2.67 MB
Format: Unknown
Description: Extracted features P44
MD5: 84540200f695657babcd1a1212979132

Download file

Name: P42.csv
Size: 354.27 KB
Format: Unknown
Description: Extracted features P42
MD5: 50b7dec13d49018b722a92766f91e455

Download file

Name: P40.csv
Size: 2.06 MB
Format: Unknown
Description: Extracted features P40
MD5: c2077650175b8136ebbba15364b573a9

Download file

Name: P41.csv
Size: 2.49 MB
Format: Unknown
Description: Extracted features P41
MD5: 1672176b5c9da837558828a139052d4e

Download file

Name: P50.csv
Size: 1.97 MB
Format: Unknown
Description: Extracted features P50
MD5: 1c05a789ec4c9a16ae63263e5367ef20

Download file

Name: P48.csv
Size: 1.46 MB
Format: Unknown
Description: Extracted features P48
MD5: 69cb6330722f09d83a18a502c9fa57db

Download file

Name: P47.csv
Size: 2.12 MB
Format: Unknown
Description: Extracted features P47
MD5: 81ee52703aed2f614920bb3f917bee4a

Download file

Name: P46.csv
Size: 2.7 MB
Format: Unknown
Description: Extracted features P46
MD5: bb06cfa85c81b9c485695a1125fe0fc9

Download file

Name: P43.csv
Size: 1.44 MB
Format: Unknown
Description: Extracted features P43
MD5: d3520c8080537a14c80c0d9ac5a64305

Download file

Name: P52.csv
Size: 1.14 MB
Format: Unknown
Description: Extracted features P52
MD5: 58b5ac6ebe8c48be7407f18286e0237b

Download file

Name: P51.csv
Size: 1 MB
Format: Unknown
Description: Extracted features P51
MD5: da25eff85d97b738ca54e98037fa38e4

Download file

Name: P54.csv
Size: 1.32 MB
Format: Unknown
Description: Extracted features P54
MD5: 6ad2e832262b9106d523672a9df46651

Download file

Name: P53.csv
Size: 2.21 MB
Format: Unknown
Description: Extracted features P53
MD5: 26f03b08d84d6150702b2f6857b1ccf6

Download file

Name: P49.csv
Size: 616.18 KB
Format: Unknown
Description: Extracted features P49
MD5: cdb3b590c24115d2a566fd2e85d6b8db

Download file

Name: README.txt
Size: 426 bytes
Format: Text file
Description: README
MD5: 0ee765c4ec928b87bbe88a3aa455d9d4

Download file Preview

File Preview

# These files contain the extracted word-level eye-tracking metrics of the CopCo corpus. Please check https://osf.io/ud8s5/ for a full version of the data (including the raw data and a Wiki with the feature descriptions). Please also check https://github.com/norahollenstein/copco-processing to find the code used for preprocessing and additional data analysis scripts. Contact: Nora Hollenstein, nora.hollenstein@hum.ku.dk . . .

Name: P57.csv
Size: 1.26 MB
Format: Unknown
Description: Extracted features P57
MD5: caf9c5ced7f1b86c521f12989b5bfe42

Download file

Name: P58.csv
Size: 2.46 MB
Format: Unknown
Description: Extracted features P58
MD5: d79e7978b62c94dd482a151de7474497

Download file

Name: P56.csv
Size: 1.79 MB
Format: Unknown
Description: Extracted features P56
MD5: d755b98169c6de01e34124c5e9ad879f

Download file

Name: P55.csv
Size: 2.41 MB
Format: Unknown
Description: Extracted features P55
MD5: 360d248545a6b0d1ee6986a1fc115df2

Download file

Show simple item record

Files in this item

Coordination, Funding

Repository

More