Datasets:
xtreme_en

Fine-Grained Tasks: named-entity-recognition
Languages: English
Multilinguality: monolingual
Size Categories: 10K<n<100K
Language Creators: expert-generated
Annotations Creators: expert-generated
Source Datasets: extended|xtreme
Licenses: mit
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prediction_ts (float32)language (string)split_text (sequence)ner_tags (sequence)
1,650,092,400
"English"
[ "''", "Agriphila", "brioniellus", "''", "(", "Zerny", ",", "1914", ")" ]
[ 0, 5, 6, 0, 0, 0, 0, 0, 0 ]
1,650,092,561.301506
"English"
[ "Kampong", "Chhnang", "(", "04-03", ")" ]
[ 5, 6, 0, 0, 0 ]
1,650,092,722.603013
"English"
[ "**", "Diocese", "of", "Rzeszów", "." ]
[ 0, 5, 6, 6, 0 ]
1,650,092,883.90452
"English"
[ "He", "was", "admitted", "to", "the", "bar", "and", "commenced", "practice", "in", "Cherry", "Valley", ",", "New", "York", "." ]
[ 0, 0, 3, 4, 4, 4, 0, 0, 0, 0, 5, 6, 6, 6, 6, 0 ]
1,650,093,045.206027
"English"
[ "What", "money", "meant", ",", "or", "was", "equivalent", "to", ",", "became", "important", "as", "governments", "attempted", "to", "adjust", "interest", "rates", "rather", "than", "maintain", "the", "Gold", "Standard", "." ]
[ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 3, 4, 0 ]
1,650,093,206.507534
"English"
[ "He", "explained", "his", "reasons", "for", "doing", "so", "in", "an", "article", "in", "the", "Bangkok", "Post", "''", ":" ]
[ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 3, 4, 0, 0 ]
1,650,093,367.809041
"English"
[ "**", "''", "Balhae", "''", "'", "-" ]
[ 0, 0, 5, 0, 0, 0 ]
1,650,093,529.110548
"English"
[ "Then", "and", "Now", ":", "Sylvester", "Stallone", "and", "William", "Shatner" ]
[ 0, 0, 0, 0, 1, 2, 0, 1, 2 ]
1,650,093,690.412054
"English"
[ "''", "Words", "of", "Power", "''", "(", "1997", ")" ]
[ 0, 3, 4, 4, 0, 0, 0, 0 ]
1,650,093,851.713561
"English"
[ "'", "''", "Antalyaspor", "''", "'" ]
[ 0, 0, 3, 0, 0 ]
1,650,094,013.015068
"English"
[ "It", "is", "found", "in", "Canada", ",", "including", "Nova", "Scotia", "and", "New", "Brunswick", "." ]
[ 0, 0, 0, 0, 5, 0, 0, 5, 6, 0, 5, 6, 0 ]
1,650,094,174.316575
"English"
[ "Darren", "Burridge", "and", "Colt", "Cabana" ]
[ 1, 2, 0, 1, 2 ]
1,650,094,335.618082
"English"
[ "Solmsen", ",", "Friedrich", "." ]
[ 1, 2, 2, 0 ]
1,650,094,496.919589
"English"
[ "Athens", ",", "Alabama" ]
[ 5, 6, 6 ]
1,650,094,658.221096
"English"
[ "Denver", "and", "Rio", "Grande", "Railroad" ]
[ 3, 4, 4, 4, 4 ]
1,650,094,819.522603
"English"
[ "University", "of", "Liverpool" ]
[ 3, 4, 4 ]
1,650,094,980.824109
"English"
[ "Arthur", "Greenslade", "–", "orchestral", "arrangements" ]
[ 1, 2, 0, 0, 0 ]
1,650,095,142.125616
"English"
[ "Francis", "of", "Assisi" ]
[ 1, 2, 2 ]
1,650,095,303.427123
"English"
[ "Sivaji", "Ganesan", ",", "Sowcar", "Janaki", ",", "Pandari", "Bai", ",", "Kumari", "Kamala" ]
[ 1, 2, 0, 1, 2, 0, 1, 2, 0, 1, 2 ]
1,650,095,464.72863
"English"
[ "'", "''", "With", "Max", "Roach", "''", "'" ]
[ 0, 0, 0, 1, 2, 0, 0 ]
1,650,095,626.030137
"English"
[ "'", "''", "New", "York", "''", "'", "–", "U.S.", "state", "located", "on", "the", "Eastern", "seaboard", "and", "extending", "to", "the", "Great", "Lakes", "." ]
[ 0, 0, 5, 6, 0, 0, 0, 5, 6, 0, 0, 0, 5, 6, 0, 0, 0, 0, 5, 6, 0 ]
1,650,095,787.331644
"English"
[ "Pietà]]", ",", "Ħamrun", ",", "Msida" ]
[ 0, 0, 5, 0, 5 ]
1,650,095,948.633151
"English"
[ "The", "Avengers", ":", "Earth", "'s", "Mightiest", "Heroes" ]
[ 3, 4, 4, 4, 4, 4, 4 ]
1,650,096,109.934657
"English"
[ "Cheviot", ",", "Ohio" ]
[ 5, 6, 6 ]
1,650,096,271.236164
"English"
[ "'", "''", "Grégory", "Baugé", "''", "'", "''", "Mickaël", "Bourgain", "''", "'", "''", "Kévin", "Sireau", "''", "'" ]
[ 0, 0, 1, 2, 0, 0, 0, 1, 2, 0, 0, 0, 1, 2, 0, 0 ]
1,650,096,432.537671
"English"
[ "Steve", "``", "Snapper", "''", "Jones", ":", "(", "NBA", "analyst", ")" ]
[ 1, 2, 2, 2, 2, 0, 0, 1, 0, 0 ]
1,650,096,593.839178
"English"
[ "The", "Washington", "Post", "''", "described", "it", "as", "a", "``", "youthful", "narrative", "''", "with", "a", "``", "healthy", "sense", "of", "humor", "." ]
[ 3, 4, 4, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ]
1,650,096,755.140685
"English"
[ "Luke", "Baldwin", "from", "Bristol", "Rugby" ]
[ 1, 2, 0, 3, 4 ]
1,650,096,916.442192
"English"
[ "'", "''", "Jimmy", "Vasser", "''", "'" ]
[ 0, 0, 1, 2, 0, 0 ]
1,650,097,077.743699
"English"
[ "From", "1947", "to", "1955", ",", "he", "was", "director", "and", "innovator", "for", "Valand", "School", "of", "Fine", "Arts", "in", "Gothenburg", "." ]
[ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 3, 4, 4, 4, 4, 0, 5, 0 ]
1,650,097,239.045206
"English"
[ "The", "Hermitage", "(", "Nashville", ",", "Tennessee", ")" ]
[ 3, 4, 4, 4, 4, 4, 4 ]
1,650,097,400.346712
"English"
[ "In", "1947", ",", "he", "had", "an", "interview", "with", "Will", "Lang", "Jr", ".", "of", "Life", "''", "to", "discuss", "his", "life", "and", "his", "role", "as", "a", "receptionist", "." ]
[ 0, 0, 0, 0, 0, 0, 0, 0, 3, 4, 4, 4, 0, 3, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ]
1,650,097,561.648219
"English"
[ "'", "''", "Yang", "Tsung-hua", "''", "'", "6–0", ",", "7–5" ]
[ 0, 0, 1, 2, 0, 0, 0, 0, 0 ]
1,650,097,722.949726
"English"
[ "Buenos", "Aires", ",", "Argentina" ]
[ 5, 6, 0, 5 ]
1,650,097,884.251233
"English"
[ "He", "died", "in", "August", "1948", "at", "Rikshospitalet", "." ]
[ 0, 0, 0, 0, 0, 0, 3, 0 ]
1,650,098,045.55274
"English"
[ "Saqib", "Ali", "–", "incumbent", ",", "challenging", "Sen.", "Nancy", "J.", "King", "(", "D", ")", "." ]
[ 1, 2, 0, 0, 0, 0, 0, 1, 2, 2, 0, 0, 0, 0 ]
1,650,098,206.854247
"English"
[ "Jalalia", ",", "Punjab" ]
[ 5, 6, 6 ]
1,650,098,368.155754
"English"
[ "It", "sold", "184,000", "in", "traditional", "album", "sales", "(", "down", "65", "percent", ")", "and", "was", "beaten", "to", "the", "top", "by", "Adele", "'s", "25", "''", ",", "which", "debuted", "at", "number", "one", "with", "a", "record-breaking", "3.38", "million", "." ]
[ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 3, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ]
1,650,098,529.45726
"English"
[ "She", "is", "a", "member", "of", "the", "GMB", "(", "trade", "union", ")", "." ]
[ 0, 0, 0, 0, 0, 0, 3, 4, 4, 4, 4, 0 ]
1,650,098,690.758767
"English"
[ "21", "Jeff", "Montgomery", ",", "RP" ]
[ 0, 1, 2, 0, 0 ]
1,650,098,852.060274
"English"
[ "North", "Fanling", "New", "Town", "(", "Extension", "of", "Fanling-Sheung", "Shui", "New", "Town", ")" ]
[ 5, 6, 6, 6, 0, 0, 0, 5, 6, 6, 6, 0 ]
1,650,099,013.361781
"English"
[ "HRH", "The", "Countess", "of", "Wessex" ]
[ 1, 2, 2, 2, 2 ]
1,650,099,174.663288
"English"
[ "He", "was", "elected", "to", "the", "Canadian", "House", "of", "Commons", "in", "1940", "as", "a", "Member", "of", "the", "Progressive", "Conservative", "Party", "to", "represent", "the", "riding", "of", "Saskatoon", "City", "." ]
[ 0, 0, 0, 0, 0, 3, 4, 4, 4, 0, 3, 0, 0, 0, 0, 0, 3, 4, 4, 0, 0, 0, 5, 0, 5, 6, 0 ]
1,650,099,335.964795
"English"
[ "Diocese", "of", "Espoo" ]
[ 5, 6, 6 ]
1,650,099,497.266302
"English"
[ "Nils", "Svantesson", "Sture", "(", "1543–1567", ")" ]
[ 1, 2, 2, 0, 0, 0 ]
1,650,099,658.567809
"English"
[ "Michigan", "-", "Wisconsin", "-", "Illinois", "-", "Indiana" ]
[ 5, 0, 5, 0, 5, 0, 5 ]
1,650,099,819.869315
"English"
[ "''", "Today", "My", "World", "Slipped", "Away", "''", "(", "Vern", "Gosdin", ",", "Mark", "Wright", ")", "-", "3:14" ]
[ 0, 3, 4, 4, 4, 4, 0, 0, 1, 2, 0, 1, 2, 0, 0, 0 ]
1,650,099,981.170822
"English"
[ "Jean-Fidèle", "Diramba", "(", "Gabon", ")" ]
[ 1, 2, 0, 5, 0 ]
1,650,100,142.472329
"English"
[ "''", "Battaristis", "vittella", "''", "(", "Busck", ",", "1916", ")" ]
[ 0, 5, 6, 0, 0, 0, 0, 0, 0 ]
1,650,100,303.773836
"English"
[ "Laureles", "(", "98.05", "%", ")" ]
[ 5, 0, 0, 0, 0 ]
1,650,100,465.075343
"English"
[ "Communes", "of", "the", "Aude", "department" ]
[ 5, 6, 6, 6, 6 ]
1,650,100,626.37685
"English"
[ "'", "''", "Guildford", "Heat", "''", "'" ]
[ 0, 0, 3, 4, 0, 0 ]
1,650,100,787.678357
"English"
[ "Maj.", "Henry", "A.", "Meetze", "House" ]
[ 3, 4, 4, 4, 4 ]
1,650,100,948.979863
"English"
[ "Francesco", "Soto", "de", "Langa", "(", "1534–1619", ")" ]
[ 1, 2, 2, 2, 0, 0, 0 ]
1,650,101,110.28137
"English"
[ "'", "''", "Szentendre", "''", "'" ]
[ 0, 0, 5, 0, 0 ]
1,650,101,271.582877
"English"
[ "Japanese", "occupation", "of", "Singapore" ]
[ 5, 6, 6, 6 ]
1,650,101,432.884384
"English"
[ "He", "held", "librarian", "and", "academic", "positions", "in", "Bützow", "." ]
[ 0, 0, 0, 0, 0, 0, 0, 5, 0 ]
1,650,101,594.185891
"English"
[ "Paula", "Abdul", "-", "``", "Straight", "Up", "''" ]
[ 1, 2, 0, 0, 0, 0, 0 ]
1,650,101,755.487398
"English"
[ "Vittorio", "Brambilla", "''", "Jacques", "Laffite" ]
[ 1, 2, 0, 1, 2 ]
1,650,101,916.788905
"English"
[ "**", "'", "''", "X-Ray", "''", "'", "-" ]
[ 0, 0, 0, 1, 0, 0, 0 ]
1,650,102,078.090412
"English"
[ ":", "Fulk", "of", "Pavia" ]
[ 0, 1, 2, 2 ]
1,650,102,239.391918
"English"
[ "Communes", "of", "the", "Aude", "department" ]
[ 5, 6, 6, 6, 6 ]
1,650,102,400.693425
"English"
[ "Metropolitan", "Vladimir", "(", "disambiguation", ")", ",", "multiple" ]
[ 3, 4, 4, 4, 4, 0, 0 ]
1,650,102,561.994932
"English"
[ "'", "''", "Moscow", "''", "'" ]
[ 0, 0, 5, 0, 0 ]
1,650,102,723.296439
"English"
[ "Jacob", "Riis", "Park", ",", "on", "Rockaway", "Peninsula", "in", "the", "Gateway", "National", "Recreation", "Area", ",", "Queens" ]
[ 3, 4, 4, 0, 0, 5, 6, 0, 0, 3, 4, 4, 4, 0, 5 ]
1,650,102,884.597946
"English"
[ "File", ":", "Eurasian", "eagle-owl", "." ]
[ 0, 0, 5, 6, 0 ]
1,650,103,045.899453
"English"
[ "Bethel", "Township", ",", "Berks", "County", ",", "Pennsylvania" ]
[ 5, 6, 6, 6, 6, 6, 6 ]
1,650,103,207.20096
"English"
[ "New", "York", "Times", ",", "June", "22", ",", "2001" ]
[ 3, 4, 4, 0, 0, 0, 0, 0 ]
1,650,103,368.502466
"English"
[ "In", "later", "years", ",", "she", "taught", "singing", "at", "the", "Royal", "Scottish", "Academy", "of", "Music", "and", "Drama", "and", "privately", "." ]
[ 0, 0, 0, 0, 0, 0, 0, 0, 0, 3, 4, 4, 4, 4, 4, 4, 0, 0, 0 ]
1,650,103,529.803973
"English"
[ "Terminal", "Railroad", "Association", "of", "St.", "Louis" ]
[ 3, 4, 4, 4, 4, 4 ]
1,650,103,691.10548
"English"
[ "It", "was", "their", "first", "album", "after", "Janis", "Joplin", "'s", "departure", "." ]
[ 0, 0, 0, 0, 0, 0, 1, 2, 0, 0, 0 ]
1,650,103,852.406987
"English"
[ "Edward", "A.", "Gisburne" ]
[ 1, 2, 2 ]
1,650,104,013.708494
"English"
[ "Suffolk", "(", "1875–89", ")", ",", "West", "Suffolk", "(", "1889–94", ")" ]
[ 5, 0, 0, 0, 0, 5, 6, 0, 0, 0 ]
1,650,104,175.010001
"English"
[ "He", "did", "fieldwork", "in", "Italy", ",", "Ethiopia", ",", "the", "Sudan", ",", "Portugal", ",", "and", "Malaysia", "." ]
[ 0, 0, 0, 0, 5, 0, 5, 0, 0, 5, 0, 5, 0, 0, 5, 0 ]
1,650,104,336.311508
"English"
[ "Gossau", ",", "Zürich" ]
[ 5, 6, 6 ]
1,650,104,497.613015
"English"
[ "Final", "Fantasy", "concerts" ]
[ 3, 4, 4 ]
1,650,104,658.914521
"English"
[ "He", "died", "in", "Sydney", "in", "2014", "." ]
[ 0, 0, 0, 5, 0, 0, 0 ]
1,650,104,820.216028
"English"
[ "Chris", "Addison", "and", "Milton", "Jones" ]
[ 1, 2, 0, 1, 2 ]
1,650,104,981.517535
"English"
[ "1648", "-", "Jama", "Masjid", ",", "Agra", ",", "is", "built", "." ]
[ 0, 0, 3, 4, 4, 4, 0, 0, 0, 0 ]
1,650,105,142.819042
"English"
[ "He", "represented", "Dewdney", "in", "the", "Legislative", "Assembly", "of", "British", "Columbia", "from", "1937", "to", "1938", "as", "a", "Conservative", "." ]
[ 0, 0, 5, 0, 0, 3, 4, 4, 4, 4, 0, 0, 0, 0, 0, 0, 3, 0 ]
1,650,105,304.120549
"English"
[ "Follow", "the", "Sun", "(", "album", ")" ]
[ 3, 4, 4, 4, 4, 4 ]
1,650,105,465.422056
"English"
[ "Zulu", "golden", "mole" ]
[ 5, 6, 6 ]
1,650,105,626.723563
"English"
[ "Fantasy", "on", "Serbian", "Themes", ",", "Op", "." ]
[ 3, 4, 4, 4, 0, 0, 0 ]
1,650,105,788.02507
"English"
[ "Railway", "stations", "in", "Togo" ]
[ 3, 4, 4, 4 ]
1,650,105,949.326576
"English"
[ "He", "died", "on", "April", "6", ",", "1987", ",", "in", "New", "York", "City", "." ]
[ 0, 0, 0, 0, 0, 0, 0, 0, 0, 5, 6, 6, 0 ]
1,650,106,110.628083
"English"
[ "It", "was", "released", "on", "30", "October", "2015", "on", "the", "Big", "Dada", "label", "." ]
[ 0, 0, 0, 0, 0, 0, 0, 0, 0, 3, 4, 0, 0 ]
1,650,106,271.92959
"English"
[ "****", "Straw-coloured", "fruit", "bat", "''Eidolon", "helvum", "''", "LC" ]
[ 0, 5, 6, 6, 0, 0, 0, 0 ]
1,650,106,433.231097
"English"
[ "Aladdin", "(", "name", ")" ]
[ 1, 2, 2, 2 ]
1,650,106,594.532604
"English"
[ "It", "was", "directed", "by", "Kurt", "Neumann", "." ]
[ 0, 0, 0, 0, 1, 2, 0 ]
1,650,106,755.834111
"English"
[ "Jerry", "Brown", "-", "575,296", "(", "2.93", "%", ")" ]
[ 1, 2, 0, 0, 0, 0, 0, 0 ]
1,650,106,917.135618
"English"
[ "''", "Gravitas", "''", "(", "2013", ")" ]
[ 0, 3, 0, 0, 0, 0 ]
1,650,107,078.437124
"English"
[ "6", "May", "2012", "at", "NSC", "``", "Olimpiyskiy", "''", ",", "Kiev" ]
[ 0, 0, 0, 0, 3, 4, 4, 4, 0, 5 ]
1,650,107,239.738631
"English"
[ "Survivor", "Srbija", "VIP", ":", "Costa", "Rica", "''" ]
[ 3, 4, 4, 4, 4, 4, 0 ]
1,650,107,401.040138
"English"
[ "Harry", "Wood", "(", "Manitoba", "politician", ")" ]
[ 3, 4, 4, 4, 4, 4 ]
1,650,107,562.341645
"English"
[ "National", "Register", "of", "Historic", "Places", "listings", "in", "Wabaunsee", "County", ",", "Kansas" ]
[ 3, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 ]
1,650,107,723.643152
"English"
[ "Ayodele", "Awojobi", "(", "1937–1984", ")", ",", "scholar", "and", "academic" ]
[ 1, 2, 0, 0, 0, 0, 0, 0, 0 ]
1,650,107,884.944659
"English"
[ "I", "Am", "the", "Mob" ]
[ 3, 4, 4, 4 ]
1,650,108,046.246166
"English"
[ "Perimeter", "Mall", "–", "Dunwoody" ]
[ 3, 4, 0, 5 ]
1,650,108,207.547673
"English"
[ "He", "was", "born", "in", "Frankfurt", "am", "Main", "." ]
[ 0, 0, 0, 0, 5, 6, 6, 0 ]
1,650,108,368.849179
"English"
[ "Snake", "Eyes", "(", "first", "version", ")" ]
[ 1, 2, 0, 0, 0, 0 ]
End of preview (truncated to 100 rows)

Dataset Card for reviews_with_drift

Dataset Description

Dataset Summary

This dataset was crafted to be used in our tutorial [Link to the tutorial when ready]. It consists on a large Movie Review Dataset mixed with some reviews from a Hotel Review Dataset. The training/validation set are purely obtained from the Movie Review Dataset while the production set is mixed. Some other features have been added (age, gender, context) as well as a made up timestamp prediction_ts of when the inference took place.

Supported Tasks and Leaderboards

text-classification, sentiment-classification: The dataset is mainly used for text classification: given the text, predict the sentiment (positive or negative).

Languages

Text is mainly written in english.

Dataset Structure

Data Instances

[More Information Needed]

Data Fields

[More Information Needed]

Data Splits

[More Information Needed]

Dataset Creation

Curation Rationale

[More Information Needed]

Source Data

[More Information Needed]

Initial Data Collection and Normalization

[More Information Needed]

Who are the source language producers?

[More Information Needed]

Annotations

[More Information Needed]

Annotation process

[More Information Needed]

Who are the annotators?

[More Information Needed]

Personal and Sensitive Information

[More Information Needed]

Considerations for Using the Data

Social Impact of Dataset

[More Information Needed]

Discussion of Biases

[More Information Needed]

Other Known Limitations

[More Information Needed]

Additional Information

Dataset Curators

[More Information Needed]

Licensing Information

[More Information Needed]

Citation Information

[More Information Needed]

Contributions

Thanks to @fjcasti1 for adding this dataset.

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