Datasets:

arize-ai
/

xtreme_en

prediction_ts float32 1.65B 1.65B	language stringclasses 1 value	split_text sequence	ner_tags sequence
1,650,092,416	English	[ "''", "Agriphila", "brioniellus", "''", "(", "Zerny", ",", "1914", ")" ]	[ 0, 5, 6, 0, 0, 0, 0, 0, 0 ]
1,650,092,544	English	[ "Kampong", "Chhnang", "(", "04-03", ")" ]	[ 5, 6, 0, 0, 0 ]
1,650,092,672	English	[ "**", "Diocese", "of", "Rzeszów", "." ]	[ 0, 5, 6, 6, 0 ]
1,650,092,928	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 ]
1,650,093,056	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 ]
1,650,093,184	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 ]
1,650,093,312	English	[ "**", "''", "Balhae", "''", "'", "-" ]	[ 0, 0, 5, 0, 0, 0 ]
1,650,093,568	English	[ "Then", "and", "Now", ":", "Sylvester", "Stallone", "and", "William", "Shatner" ]	[ 0, 0, 0, 0, 1, 2, 0, 1, 2 ]
1,650,093,696	English	[ "''", "Words", "of", "Power", "''", "(", "1997", ")" ]	[ 0, 3, 4, 4, 0, 0, 0, 0 ]
1,650,093,824	English	[ "'", "''", "Antalyaspor", "''", "'" ]	[ 0, 0, 3, 0, 0 ]
1,650,093,952	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 ]
1,650,094,208	English	[ "Darren", "Burridge", "and", "Colt", "Cabana" ]	[ 1, 2, 0, 1, 2 ]
1,650,094,336	English	[ "Solmsen", ",", "Friedrich", "." ]	[ 1, 2, 2, 0 ]
1,650,094,464	English	[ "Athens", ",", "Alabama" ]	[ 5, 6, 6 ]
1,650,094,720	English	[ "Denver", "and", "Rio", "Grande", "Railroad" ]	[ 3, 4, 4, 4, 4 ]
1,650,094,848	English	[ "University", "of", "Liverpool" ]	[ 3, 4, 4 ]
1,650,094,976	English	[ "Arthur", "Greenslade", "–", "orchestral", "arrangements" ]	[ 1, 2, 0, 0, 0 ]
1,650,095,104	English	[ "Francis", "of", "Assisi" ]	[ 1, 2, 2 ]
1,650,095,360	English	[ "Sivaji", "Ganesan", ",", "Sowcar", "Janaki", ",", "Pandari", "Bai", ",", "Kumari", "Kamala" ]	[ 1, 2, 0, 1, 2, 0, 1, 2, 0, 1, 2 ]
1,650,095,488	English	[ "'", "''", "With", "Max", "Roach", "''", "'" ]	[ 0, 0, 0, 1, 2, 0, 0 ]
1,650,095,616	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 ]
1,650,095,744	English	[ "Pietà]]", ",", "Ħamrun", ",", "Msida" ]	[ 0, 0, 5, 0, 5 ]
1,650,096,000	English	[ "The", "Avengers", ":", "Earth", "'s", "Mightiest", "Heroes" ]	[ 3, 4, 4, 4, 4, 4, 4 ]
1,650,096,128	English	[ "Cheviot", ",", "Ohio" ]	[ 5, 6, 6 ]
1,650,096,256	English	[ "'", "''", "Grégory", "Baugé", "''", "'", "''", "Mickaël", "Bourgain", "''", "'", "''", "Kévin", "Sireau", "''", "'" ]	[ 0, 0, 1, 2, 0, 0, 0, 1, 2, 0, 0, 0, 1, 2, 0, 0 ]
1,650,096,384	English	[ "Steve", "``", "Snapper", "''", "Jones", ":", "(", "NBA", "analyst", ")" ]	[ 1, 2, 2, 2, 2, 0, 0, 1, 0, 0 ]
1,650,096,640	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 ]
1,650,096,768	English	[ "Luke", "Baldwin", "from", "Bristol", "Rugby" ]	[ 1, 2, 0, 3, 4 ]
1,650,096,896	English	[ "'", "''", "Jimmy", "Vasser", "''", "'" ]	[ 0, 0, 1, 2, 0, 0 ]
1,650,097,024	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 ]
1,650,097,280	English	[ "The", "Hermitage", "(", "Nashville", ",", "Tennessee", ")" ]	[ 3, 4, 4, 4, 4, 4, 4 ]
1,650,097,408	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 ]
1,650,097,536	English	[ "'", "''", "Yang", "Tsung-hua", "''", "'", "6–0", ",", "7–5" ]	[ 0, 0, 1, 2, 0, 0, 0, 0, 0 ]
1,650,097,664	English	[ "Buenos", "Aires", ",", "Argentina" ]	[ 5, 6, 0, 5 ]
1,650,097,920	English	[ "He", "died", "in", "August", "1948", "at", "Rikshospitalet", "." ]	[ 0, 0, 0, 0, 0, 0, 3, 0 ]
1,650,098,048	English	[ "Saqib", "Ali", "–", "incumbent", ",", "challenging", "Sen.", "Nancy", "J.", "King", "(", "D", ")", "." ]	[ 1, 2, 0, 0, 0, 0, 0, 1, 2, 2, 0, 0, 0, 0 ]
1,650,098,176	English	[ "Jalalia", ",", "Punjab" ]	[ 5, 6, 6 ]
1,650,098,432	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 ]
1,650,098,560	English	[ "She", "is", "a", "member", "of", "the", "GMB", "(", "trade", "union", ")", "." ]	[ 0, 0, 0, 0, 0, 0, 3, 4, 4, 4, 4, 0 ]
1,650,098,688	English	[ "21", "Jeff", "Montgomery", ",", "RP" ]	[ 0, 1, 2, 0, 0 ]
1,650,098,816	English	[ "North", "Fanling", "New", "Town", "(", "Extension", "of", "Fanling-Sheung", "Shui", "New", "Town", ")" ]	[ 5, 6, 6, 6, 0, 0, 0, 5, 6, 6, 6, 0 ]
1,650,099,072	English	[ "HRH", "The", "Countess", "of", "Wessex" ]	[ 1, 2, 2, 2, 2 ]
1,650,099,200	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 ]
1,650,099,328	English	[ "Diocese", "of", "Espoo" ]	[ 5, 6, 6 ]
1,650,099,456	English	[ "Nils", "Svantesson", "Sture", "(", "1543–1567", ")" ]	[ 1, 2, 2, 0, 0, 0 ]
1,650,099,712	English	[ "Michigan", "-", "Wisconsin", "-", "Illinois", "-", "Indiana" ]	[ 5, 0, 5, 0, 5, 0, 5 ]
1,650,099,840	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 ]
1,650,099,968	English	[ "Jean-Fidèle", "Diramba", "(", "Gabon", ")" ]	[ 1, 2, 0, 5, 0 ]
1,650,100,096	English	[ "''", "Battaristis", "vittella", "''", "(", "Busck", ",", "1916", ")" ]	[ 0, 5, 6, 0, 0, 0, 0, 0, 0 ]
1,650,100,352	English	[ "Laureles", "(", "98.05", "%", ")" ]	[ 5, 0, 0, 0, 0 ]
1,650,100,480	English	[ "Communes", "of", "the", "Aude", "department" ]	[ 5, 6, 6, 6, 6 ]
1,650,100,608	English	[ "'", "''", "Guildford", "Heat", "''", "'" ]	[ 0, 0, 3, 4, 0, 0 ]
1,650,100,736	English	[ "Maj.", "Henry", "A.", "Meetze", "House" ]	[ 3, 4, 4, 4, 4 ]
1,650,100,992	English	[ "Francesco", "Soto", "de", "Langa", "(", "1534–1619", ")" ]	[ 1, 2, 2, 2, 0, 0, 0 ]
1,650,101,120	English	[ "'", "''", "Szentendre", "''", "'" ]	[ 0, 0, 5, 0, 0 ]
1,650,101,248	English	[ "Japanese", "occupation", "of", "Singapore" ]	[ 5, 6, 6, 6 ]
1,650,101,376	English	[ "He", "held", "librarian", "and", "academic", "positions", "in", "Bützow", "." ]	[ 0, 0, 0, 0, 0, 0, 0, 5, 0 ]
1,650,101,632	English	[ "Paula", "Abdul", "-", "``", "Straight", "Up", "''" ]	[ 1, 2, 0, 0, 0, 0, 0 ]
1,650,101,760	English	[ "Vittorio", "Brambilla", "''", "Jacques", "Laffite" ]	[ 1, 2, 0, 1, 2 ]
1,650,101,888	English	[ "**", "'", "''", "X-Ray", "''", "'", "-" ]	[ 0, 0, 0, 1, 0, 0, 0 ]
1,650,102,016	English	[ ":", "Fulk", "of", "Pavia" ]	[ 0, 1, 2, 2 ]
1,650,102,272	English	[ "Communes", "of", "the", "Aude", "department" ]	[ 5, 6, 6, 6, 6 ]
1,650,102,400	English	[ "Metropolitan", "Vladimir", "(", "disambiguation", ")", ",", "multiple" ]	[ 3, 4, 4, 4, 4, 0, 0 ]
1,650,102,528	English	[ "'", "''", "Moscow", "''", "'" ]	[ 0, 0, 5, 0, 0 ]
1,650,102,784	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 ]
1,650,102,912	English	[ "File", ":", "Eurasian", "eagle-owl", "." ]	[ 0, 0, 5, 6, 0 ]
1,650,103,040	English	[ "Bethel", "Township", ",", "Berks", "County", ",", "Pennsylvania" ]	[ 5, 6, 6, 6, 6, 6, 6 ]
1,650,103,168	English	[ "New", "York", "Times", ",", "June", "22", ",", "2001" ]	[ 3, 4, 4, 0, 0, 0, 0, 0 ]
1,650,103,424	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 ]
1,650,103,552	English	[ "Terminal", "Railroad", "Association", "of", "St.", "Louis" ]	[ 3, 4, 4, 4, 4, 4 ]
1,650,103,680	English	[ "It", "was", "their", "first", "album", "after", "Janis", "Joplin", "'s", "departure", "." ]	[ 0, 0, 0, 0, 0, 0, 1, 2, 0, 0, 0 ]
1,650,103,808	English	[ "Edward", "A.", "Gisburne" ]	[ 1, 2, 2 ]
1,650,104,064	English	[ "Suffolk", "(", "1875–89", ")", ",", "West", "Suffolk", "(", "1889–94", ")" ]	[ 5, 0, 0, 0, 0, 5, 6, 0, 0, 0 ]
1,650,104,192	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 ]
1,650,104,320	English	[ "Gossau", ",", "Zürich" ]	[ 5, 6, 6 ]
1,650,104,448	English	[ "Final", "Fantasy", "concerts" ]	[ 3, 4, 4 ]
1,650,104,704	English	[ "He", "died", "in", "Sydney", "in", "2014", "." ]	[ 0, 0, 0, 5, 0, 0, 0 ]
1,650,104,832	English	[ "Chris", "Addison", "and", "Milton", "Jones" ]	[ 1, 2, 0, 1, 2 ]
1,650,104,960	English	[ "1648", "-", "Jama", "Masjid", ",", "Agra", ",", "is", "built", "." ]	[ 0, 0, 3, 4, 4, 4, 0, 0, 0, 0 ]
1,650,105,088	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 ]
1,650,105,344	English	[ "Follow", "the", "Sun", "(", "album", ")" ]	[ 3, 4, 4, 4, 4, 4 ]
1,650,105,472	English	[ "Zulu", "golden", "mole" ]	[ 5, 6, 6 ]
1,650,105,600	English	[ "Fantasy", "on", "Serbian", "Themes", ",", "Op", "." ]	[ 3, 4, 4, 4, 0, 0, 0 ]
1,650,105,728	English	[ "Railway", "stations", "in", "Togo" ]	[ 3, 4, 4, 4 ]
1,650,105,984	English	[ "He", "died", "on", "April", "6", ",", "1987", ",", "in", "New", "York", "City", "." ]	[ 0, 0, 0, 0, 0, 0, 0, 0, 0, 5, 6, 6, 0 ]
1,650,106,112	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 ]
1,650,106,240	English	[ "****", "Straw-coloured", "fruit", "bat", "''Eidolon", "helvum", "''", "LC" ]	[ 0, 5, 6, 6, 0, 0, 0, 0 ]
1,650,106,496	English	[ "Aladdin", "(", "name", ")" ]	[ 1, 2, 2, 2 ]
1,650,106,624	English	[ "It", "was", "directed", "by", "Kurt", "Neumann", "." ]	[ 0, 0, 0, 0, 1, 2, 0 ]
1,650,106,752	English	[ "Jerry", "Brown", "-", "575,296", "(", "2.93", "%", ")" ]	[ 1, 2, 0, 0, 0, 0, 0, 0 ]
1,650,106,880	English	[ "''", "Gravitas", "''", "(", "2013", ")" ]	[ 0, 3, 0, 0, 0, 0 ]
1,650,107,136	English	[ "6", "May", "2012", "at", "NSC", "``", "Olimpiyskiy", "''", ",", "Kiev" ]	[ 0, 0, 0, 0, 3, 4, 4, 4, 0, 5 ]
1,650,107,264	English	[ "Survivor", "Srbija", "VIP", ":", "Costa", "Rica", "''" ]	[ 3, 4, 4, 4, 4, 4, 0 ]
1,650,107,392	English	[ "Harry", "Wood", "(", "Manitoba", "politician", ")" ]	[ 3, 4, 4, 4, 4, 4 ]
1,650,107,520	English	[ "National", "Register", "of", "Historic", "Places", "listings", "in", "Wabaunsee", "County", ",", "Kansas" ]	[ 3, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 ]
1,650,107,776	English	[ "Ayodele", "Awojobi", "(", "1937–1984", ")", ",", "scholar", "and", "academic" ]	[ 1, 2, 0, 0, 0, 0, 0, 0, 0 ]
1,650,107,904	English	[ "I", "Am", "the", "Mob" ]	[ 3, 4, 4, 4 ]
1,650,108,032	English	[ "Perimeter", "Mall", "–", "Dunwoody" ]	[ 3, 4, 0, 5 ]
1,650,108,160	English	[ "He", "was", "born", "in", "Frankfurt", "am", "Main", "." ]	[ 0, 0, 0, 0, 5, 6, 6, 0 ]
1,650,108,416	English	[ "Snake", "Eyes", "(", "first", "version", ")" ]	[ 1, 2, 0, 0, 0, 0 ]

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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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Size of downloaded dataset files:

3.03 MB

Size of the auto-converted Parquet files:

1.55 MB

Number of rows:

30,000

Dataset Card for reviews_with_drift

Dataset Description

Dataset Summary

Supported Tasks and Leaderboards

Languages

Dataset Structure

Data Instances

Data Fields

Data Splits

Dataset Creation

Curation Rationale

Source Data

Initial Data Collection and Normalization

Who are the source language producers?

Annotations

Annotation process

Who are the annotators?

Personal and Sensitive Information

Considerations for Using the Data

Social Impact of Dataset

Discussion of Biases

Other Known Limitations

Additional Information

Dataset Curators

Licensing Information

Citation Information

Contributions

Dataset Card for `reviews_with_drift`