add sequence tagging dataset

.gitattributes

@@ -52,3 +52,6 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.jpg filter=lfs diff=lfs merge=lfs -text
 *.jpeg filter=lfs diff=lfs merge=lfs -text
 *.webp filter=lfs diff=lfs merge=lfs -text
+sequence[[:space:]]tagging/conll/train.json filter=lfs diff=lfs merge=lfs -text
+sequence[[:space:]]tagging/ontonotes/test.json filter=lfs diff=lfs merge=lfs -text
+sequence[[:space:]]tagging/ontonotes/train.json filter=lfs diff=lfs merge=lfs -text

sequence tagging/bc5cdr/meta.json

@@ -0,0 +1,35 @@
+{
+    "train_size": 500,
+    "valid_size": 500,
+    "test_size": 500,
+    "num_labels": 5,
+    "max_length": 593,
+    "lf": [
+        "tag-DictCore-Chemical",
+        "tag-DictCore-Chemical-Exact",
+        "tag-DictCore-Disease",
+        "tag-DictCore-Disease-Exact",
+        "tag-Organic Chemical",
+        "tag-Antibiotic",
+        "tag-Disease or Syndrome",
+        "link-PostHyphen",
+        "link-ExtractedPhrase"
+    ],
+    "num_lf": 9,
+    "entity_types": [
+        "Chemical",
+        "Disease"
+    ],
+    "lf_rec": [
+        "tag-DictCore-Chemical",
+        "tag-DictCore-Chemical-Exact",
+        "tag-DictCore-Disease",
+        "tag-DictCore-Disease-Exact",
+        "tag-Organic Chemical",
+        "tag-Antibiotic",
+        "tag-Disease or Syndrome",
+        "link-PostHyphen",
+        "link-ExtractedPhrase"
+    ],
+    "num_lf_rec": 9
+}

sequence tagging/bc5cdr/readme.txt

@@ -0,0 +1,25 @@
+BC5CDR Disease and Chemical Term Extraction Dataset
+
+# Source 
+https://github.com/Yinghao-Li/CHMM-ALT
+https://github.com/BatsResearch/safranchik-aaai20-code/tree/master/BC5CDR
+
+# Entities
+"Chemical",
+"Disease"
+
+# Label Functions
+
+9 labeling functions in total, as shown below
+
+lfs = [
+    "tag-DictCore-Chemical",
+    "tag-DictCore-Chemical-Exact",
+    "tag-DictCore-Disease",
+    "tag-DictCore-Disease-Exact",
+    "tag-Organic Chemical",
+    "tag-Antibiotic",
+    "tag-Disease or Syndrome",
+    "link-PostHyphen",
+    "link-ExtractedPhrase"
+]

sequence tagging/conll/meta.json

@@ -0,0 +1,51 @@
+{
+    "train_size": 14041,
+    "valid_size": 3250,
+    "test_size": 3453,
+    "num_labels": 9,
+    "max_length": 124,
+    "lf": [
+        "BTC",
+        "core_web_md",
+        "crunchbase_cased",
+        "crunchbase_uncased",
+        "full_name_detector",
+        "geo_cased",
+        "geo_uncased",
+        "misc_detector",
+        "multitoken_crunchbase_cased",
+        "multitoken_crunchbase_uncased",
+        "multitoken_geo_cased",
+        "multitoken_geo_uncased",
+        "multitoken_wiki_cased",
+        "multitoken_wiki_uncased",
+        "wiki_cased",
+        "wiki_uncased"
+    ],
+    "num_lf": 16,
+    "entity_types": [
+        "PER",
+        "LOC",
+        "ORG",
+        "MISC"
+    ],
+    "lf_rec": [
+        "BTC",
+        "core_web_md",
+        "crunchbase_cased",
+        "crunchbase_uncased",
+        "full_name_detector",
+        "geo_cased",
+        "geo_uncased",
+        "misc_detector",
+        "multitoken_crunchbase_cased",
+        "multitoken_crunchbase_uncased",
+        "multitoken_geo_cased",
+        "multitoken_geo_uncased",
+        "multitoken_wiki_cased",
+        "multitoken_wiki_uncased",
+        "wiki_cased",
+        "wiki_uncased"
+    ],
+    "num_lf_rec": 16
+}

sequence tagging/conll/readme.txt

@@ -0,0 +1,31 @@
+CoNLL-03 Named Entity Recognition Dataset
+
+# Source 
+https://github.com/NorskRegnesentral/weak-supervision-for-NER
+
+# Entities
+"PER",
+"LOC",
+"ORG",
+"MISC"
+
+# Label Functions
+
+16 labeling functions in total, as shown below
+
+"BTC"
+"core_web_md"
+"crunchbase_cased"
+"crunchbase_uncased"
+"full_name_detector"
+"geo_cased"
+"geo_uncased"
+"misc_detector"
+"multitoken_crunchbase_cased"
+"multitoken_crunchbase_uncased"
+"multitoken_geo_cased"
+"multitoken_geo_uncased"
+"multitoken_wiki_cased"
+"multitoken_wiki_uncased"
+"wiki_cased"
+"wiki_uncased"

sequence tagging/conll/train.json

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:7bedcd92c7d5667a886d08328ae4921b9265be79bc3a843757d4eaf60bd81526
+size 21139828

sequence tagging/laptopreview/meta.json

@@ -0,0 +1,22 @@
+{
+    "train_size": 2436,
+    "valid_size": 609,
+    "test_size": 800,
+    "num_labels": 5,
+    "max_length": 83,
+    "entity_types": [
+        "TERM"
+    ],
+    "lf": [
+        "tag-CoreDictionary",
+        "link-ExtractedPhrase",
+        "link-ConsecutiveCapitals"
+    ],
+    "num_lf": 3,
+    "lf_rec": [
+        "tag-CoreDictionary",
+        "link-ExtractedPhrase",
+        "link-ConsecutiveCapitals"
+    ],
+    "num_lf_rec": 3
+}

sequence tagging/laptopreview/readme.txt

@@ -0,0 +1,18 @@
+LaptopReview Term Extraction Dataset
+
+# Source 
+https://github.com/Yinghao-Li/CHMM-ALT
+https://github.com/BatsResearch/safranchik-aaai20-code/tree/master/LaptopReview
+
+# Entities
+"TERM"
+
+# Label Functions
+
+3 labeling functions in total, as shown below
+
+lfs = [
+    "tag-CoreDictionary",
+    "link-ExtractedPhrase",
+    "link-ConsecutiveCapitals"
+]

sequence tagging/mit-movies/meta.json

@@ -0,0 +1,41 @@
+{
+    "train_size": 9241,
+    "valid_size": 500,
+    "test_size": 2441,
+    "num_labels": 25,
+    "max_length": 47,
+    "entity_types": [
+        "GENRE",
+        "PLOT",
+        "DIRECTOR",
+        "RATING",
+        "TITLE",
+        "ACTOR",
+        "YEAR",
+        "TRAILER",
+        "REVIEW",
+        "RATINGS_AVERAGE",
+        "SONG",
+        "CHARACTER"
+    ],
+    "lf": [
+        "Core_Keywords",
+        "Keyword_Patterns",
+        "Regex_Patterns",
+        "Movie_Collection",
+        "Movie_Dataset",
+        "IMDB",
+        "Multitoken_wiki"
+    ],
+    "num_lf": 7,
+    "lf_rec": [
+        "Core_Keywords",
+        "Keyword_Patterns",
+        "Regex_Patterns",
+        "Movie_Collection",
+        "Movie_Dataset",
+        "IMDB",
+        "Multitoken_wiki"
+    ],
+    "num_lf_rec": 7
+}

sequence tagging/mit-movies/readme.txt

@@ -0,0 +1,34 @@
+MIT-Movies Slot Fillings Dataset
+
+# Source 
+https://groups.csail.mit.edu/sls/downloads/movie/
+
+# Entities
+"GENRE",
+"PLOT",
+"DIRECTOR",
+"RATING",
+"TITLE",
+"ACTOR",
+"YEAR",
+"TRAILER",
+"REVIEW",
+"RATINGS_AVERAGE",
+"SONG",
+"CHARACTER"
+
+# Label Functions
+
+7 labeling functions in total, as shown below
+
+lfs = [
+    "Core_Keywords",
+    "Keyword_Patterns",
+    "Regex_Patterns",
+    "Movie_Collection",
+    "Movie_Dataset",
+    "IMDB",
+    "Multitoken_wiki"
+]
+
+See our preprint for details.

sequence tagging/mit-restaurants/meta.json

@@ -0,0 +1,55 @@
+{
+    "train_size": 7159,
+    "valid_size": 500,
+    "test_size": 1521,
+    "num_labels": 17,
+    "max_length": 35,
+    "entity_types": [
+        "Cuisine",
+        "Location",
+        "Hours",
+        "Dish",
+        "Amenity",
+        "Rating",
+        "Restaurant_Name",
+        "Price"
+    ],
+    "lf": [
+        "Location1",
+        "Location2",
+        "Cuisine",
+        "Dish",
+        "Price1",
+        "Price2",
+        "Amentity1",
+        "Amentity2",
+        "Rating1",
+        "Rating2",
+        "Restaurant_Name1",
+        "Restaurant_Name2",
+        "Hours1",
+        "Hours2",
+        "Hours3",
+        "Yelp"
+    ],
+    "num_lf": 16,
+    "lf_rec": [
+        "Location1",
+        "Location2",
+        "Cuisine",
+        "Dish",
+        "Price1",
+        "Price2",
+        "Amentity1",
+        "Amentity2",
+        "Rating1",
+        "Rating2",
+        "Restaurant_Name1",
+        "Restaurant_Name2",
+        "Hours1",
+        "Hours2",
+        "Hours3",
+        "Yelp"
+    ],
+    "num_lf_rec": 16
+}

sequence tagging/mit-restaurants/readme.txt

@@ -0,0 +1,60 @@
+MIT-Restaurant Slot Fillings Dataset
+
+# Source 
+https://groups.csail.mit.edu/sls/downloads/restaurant/
+
+# Entities
+"Cuisine",
+"Location",
+"Hours",
+"Dish",
+"Amenity",
+"Rating",
+"Restaurant_Name",
+"Price"
+
+# Label Functions
+
+16 labeling functions in total, as shown below
+
+lfs = [
+	"Location1",
+    "Location2",
+    "Cuisine",
+    "Dish",
+    "Price1",
+    "Price2",
+    "Amentity1",
+    "Amentity2",
+    "Rating1",
+    "Rating2",
+    "Restaurant_Name1",
+    "Restaurant_Name2",
+    "Hours1",
+    "Hours2",
+    "Hours3",
+    "Yelp"
+]
+
+# Details on LFs
+
+Location  ( |^)[^\w]*(within|near|next|close|nearby|around|around)[^\w]*([^\s]+ ){0,2}(here|city|miles|mile)*[^\w]*( |$)  any kid friendly restaurants around here 
+Location  "in the area"  im looking for a 5 star restaurant in the area that serves wine 
+Cuisine  cuisine1a=['italian','american','japanese','spanish','mexican','chinese','vietnamese','vegan']; cuisine1b=['bistro','delis']; cuisine2=['barbecue','halal','vegetarian','bakery']  can you find me some chinese food
+Price  " ([0-9]+|few|under [0-9]+) dollar"  i need a family restaurant with meals under 10 dollars and kids eat  
+Rating  "( (high|highly|good|best|top|well|highest|zagat) (rate|rating|rated))|((rated|rate|rating) [0-9]* star)|([0-9]+ star)"  where can i get the highest rated burger within ten miles 
+Hours  "((open|opened) (now|late))|(still (open|opened|closed|close))|(((open|close|opened|closed) \w+([\s]| \w* | \w* \w* ))*[0-9]+ (am|pm|((a|p) m)|hours|hour))"  where is the nearest italian restaurant that is still open
+Hours  "(open|close) (\w* ){0,3}until (\w* ){0,2}(([0-9]* (am|pm|((a|p) m)|hour|hours))|(late (night|hour))|(midnight))"  find a vegan cuisine which is open until 2 pm
+Amenity  "(outdoor|indoor|group|romantic|family|outside|inside|fine|waterfront|outside|private|business|formal|casual|rooftop|(special occasion))([\s]| \w+ | \w+ \w+ )dining"  i want to go to a restaurant within 20 miles that got a high rating and is considered fine dining 
+Hours  "(open |this |very ){0,2}late( night| dinner| lunch| dinning|( at night)){0,2}"  i need some late night chinese food within 4 miles of here 
+Restaurant_Name  "[\w+ ]{0,2}(palace|cafe|bar|kitchen|outback|dominoes)"  is passims kitchen open at 2 am 
+Dish  "wine|sandwich|pasta|burger|peroggis|burrito|(chicken tikka masala)|appetizer|pizza|winec|upcake|(onion ring)|tapas"  please find me a pub that serves burgers 
+Price  "(affordable|cheap|expensive|inexpensive)"; bad_words=['the','a','an','has','have','that','this','beef','for','with','if','at']; 
+  good_words=['price','prices','pricing','priced'];  im looking for an inexpensive mexican restaurant 
+Rating  "(([0-9]*)|very|most)* (good|great|best|bad|excellent|negative|star) (\w* ){0,2}(review|reviews|rating|rated)"  which moderately priced mexican restaurants within 10 miles have the best reviews 
+Amenity  "(pet|kid|)(friendly|indoor|outdoor|date|dining|buffet|great|fine|good|friend|group|birthday|anniversary|family|historical|family friendly|friendly)([\s]| \w+ | \w+ \w+ )(spot|dining|parking|dinne|style|eatries|catering|drive throughs|allow|amenity|amenity)*"  is there a pet friendly restaurant within 10 miles from here 
+Restaurant_Name "(burger king|mcdonalds|taco bells|Mcdills|denneys|dennys|Mcdills)"  where is the next mcdonalds 
+
+For Yelp: We extracted extract restaurant names and cuisines from yelp database (https://www.yelp.com/dataset) to augment the labeling function.
+
+

sequence tagging/ncbi-disease/meta.json

@@ -0,0 +1,26 @@
+{
+    "train_size": 592,
+    "valid_size": 99,
+    "test_size": 99,
+    "num_labels": 5,
+    "max_length": 503,
+    "lf": [
+        "tag-CoreDictionaryUncased",
+        "tag-CoreDictionaryExact",
+        "tag-CancerLike",
+        "tag-BodyTerms",
+        "link-ExtractedPhrase"
+    ],
+    "num_lf": 5,
+    "entity_types": [
+        "Disease"
+    ],
+    "lf_rec": [
+        "tag-CoreDictionaryUncased",
+        "tag-CoreDictionaryExact",
+        "tag-CancerLike",
+        "tag-BodyTerms",
+        "link-ExtractedPhrase"
+    ],
+    "num_lf_rec": 5
+}

sequence tagging/ncbi-disease/readme.txt

@@ -0,0 +1,20 @@
+NCBI Disease Extraction Dataset
+
+# Source 
+https://github.com/Yinghao-Li/CHMM-ALT
+https://github.com/BatsResearch/safranchik-aaai20-code/tree/master/NCBI-Disease
+
+# Entities
+"Disease"
+
+# Label Functions
+
+5 labeling functions in total, as shown below
+
+lfs = [
+    "tag-CoreDictionaryUncased",
+    "tag-CoreDictionaryExact",
+    "tag-CancerLike",
+    "tag-BodyTerms",
+    "link-ExtractedPhrase"
+]

sequence tagging/ontonotes/meta.json

@@ -0,0 +1,67 @@
+{
+    "train_size": 115812,
+    "valid_size": 5000,
+    "test_size": 22897,
+    "num_labels": 37,
+    "max_length": 275,
+    "entity_types": [
+        "DATE",
+        "MONEY",
+        "WORK_OF_ART",
+        "CARDINAL",
+        "ORG",
+        "PERSON",
+        "GPE",
+        "NORP",
+        "PERCENT",
+        "ORDINAL",
+        "TIME",
+        "LOC",
+        "LANGUAGE",
+        "FAC",
+        "EVENT",
+        "QUANTITY",
+        "PRODUCT",
+        "LAW"
+    ],
+    "lf": [
+        "Core_Keywords",
+        "Regex_Patterns",
+        "Numeric_Patterns",
+        "wiki_fine",
+        "money_detector",
+        "date_detector",
+        "number_detector",
+        "company_type_detector",
+        "full_name_detector",
+        "misc_detector",
+        "crunchbase_cased",
+        "crunchbase_uncased",
+        "geo_cased",
+        "geo_uncased",
+        "Multitoken_wiki",
+        "wiki_cased",
+        "wiki_uncased"
+    ],
+    "num_lf": 17,
+    "lf_rec": [
+        "Core_Keywords",
+        "Regex_Patterns",
+        "Numeric_Patterns",
+        "wiki_fine",
+        "money_detector",
+        "date_detector",
+        "number_detector",
+        "company_type_detector",
+        "full_name_detector",
+        "misc_detector",
+        "crunchbase_cased",
+        "crunchbase_uncased",
+        "geo_cased",
+        "geo_uncased",
+        "Multitoken_wiki",
+        "wiki_cased",
+        "wiki_uncased"
+    ],
+    "num_lf_rec": 17
+}

sequence tagging/ontonotes/readme.txt

@@ -0,0 +1,49 @@
+Ontonotes 5.0 Named Entity Recognition Dataset
+
+# Source 
+https://catalog.ldc.upenn.edu/LDC2013T19
+https://github.com/NorskRegnesentral/weak-supervision-for-NER
+
+# Entities
+"DATE",
+"MONEY",
+"WORK_OF_ART",
+"CARDINAL",
+"ORG",
+"PERSON",
+"GPE",
+"NORP",
+"PERCENT",
+"ORDINAL",
+"TIME",
+"LOC",
+"LANGUAGE",
+"FAC",
+"EVENT",
+"QUANTITY",
+"PRODUCT",
+"LAW"
+
+# Label Functions
+
+5 labeling functions in total, as shown below
+
+lfs = [
+    "Core_Keywords",
+    "Regex_Patterns",
+    "Numeric_Patterns",
+    "wiki_fine",
+    "money_detector",
+    "date_detector",
+    "number_detector",
+    "company_type_detector",
+    "full_name_detector",
+    "misc_detector",
+    "crunchbase_cased",
+    "crunchbase_uncased",
+    "geo_cased",
+    "geo_uncased",
+    "Multitoken_wiki",
+    "wiki_cased",
+    "wiki_uncased"
+]

sequence tagging/ontonotes/test.json

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:3591d4a6dc30629ace50a9fb32b0c8bf1e3e1fade34b388ab1b58b3efa6a1318
+size 47769125

sequence tagging/ontonotes/train.json

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:dbab90cb2d1a2735c37a328baf6d675389349183cf87738a22027423579550a7
+size 233796695

sequence tagging/wikigold/meta.json

@@ -0,0 +1,51 @@
+{
+    "train_size": 1355,
+    "valid_size": 169,
+    "test_size": 170,
+    "num_labels": 9,
+    "max_length": 144,
+    "entity_types": [
+        "PER",
+        "LOC",
+        "ORG",
+        "MISC"
+    ],
+    "lf": [
+        "BTC",
+        "core_web_md",
+        "crunchbase_cased",
+        "crunchbase_uncased",
+        "full_name_detector",
+        "geo_cased",
+        "geo_uncased",
+        "misc_detector",
+        "multitoken_crunchbase_cased",
+        "multitoken_crunchbase_uncased",
+        "multitoken_geo_cased",
+        "multitoken_geo_uncased",
+        "multitoken_wiki_cased",
+        "multitoken_wiki_uncased",
+        "wiki_cased",
+        "wiki_uncased"
+    ],
+    "num_lf": 16,
+    "lf_rec": [
+        "BTC",
+        "core_web_md",
+        "crunchbase_cased",
+        "crunchbase_uncased",
+        "full_name_detector",
+        "geo_cased",
+        "geo_uncased",
+        "misc_detector",
+        "multitoken_crunchbase_cased",
+        "multitoken_crunchbase_uncased",
+        "multitoken_geo_cased",
+        "multitoken_geo_uncased",
+        "multitoken_wiki_cased",
+        "multitoken_wiki_uncased",
+        "wiki_cased",
+        "wiki_uncased"
+    ],
+    "num_lf_rec": 16
+}

sequence tagging/wikigold/readme.txt

@@ -0,0 +1,33 @@
+Wikigold Named Entity Recognition Dataset
+
+# Source 
+https://github.com/NorskRegnesentral/weak-supervision-for-NER
+
+# Entities
+"PER",
+"LOC",
+"ORG",
+"MISC"
+
+# Label Functions
+
+16 labeling functions in total, as shown below
+
+lfs = [
+	"BTC",
+	"core_web_md",
+	"crunchbase_cased",
+	"crunchbase_uncased",
+	"full_name_detector",
+	"geo_cased",
+	"geo_uncased",
+	"misc_detector",
+	"multitoken_crunchbase_cased",
+	"multitoken_crunchbase_uncased",
+	"multitoken_geo_cased",
+	"multitoken_geo_uncased",
+	"multitoken_wiki_cased",
+	"multitoken_wiki_uncased",
+	"wiki_cased",
+	"wiki_uncased",
+]