diff --git a/promptsource/templates.py b/promptsource/templates.py
index 3ece927fe..4856d5b35 100644
--- a/promptsource/templates.py
+++ b/promptsource/templates.py
@@ -26,7 +26,7 @@
 
 # These are users whose datasets should be included in the results returned by
 # filter_english_datasets (regardless of their metadata)
-INCLUDED_USERS = {"Zaid", "craffel"}
+INCLUDED_USERS = {"Zaid", "craffel", "aakanksha"}
 
 
 def highlight(input):
diff --git a/promptsource/templates/aakanksha/udpos/templates.yaml b/promptsource/templates/aakanksha/udpos/templates.yaml
new file mode 100644
index 000000000..27b5ff496
--- /dev/null
+++ b/promptsource/templates/aakanksha/udpos/templates.yaml
@@ -0,0 +1,104 @@
+dataset: aakanksha/udpos
+templates:
+  14dd9141-58b7-456b-a998-f1678cb8e3f5: !Template
+    answer_choices: null
+    id: 14dd9141-58b7-456b-a998-f1678cb8e3f5
+    jinja: "Given a sentence, label every word in the sentence with a part of speech\
+      \ tag. Following is the list of possible tags: ADJ (adjective), ADP (adposition),\
+      \ ADV (adverb), AUX (auxiliary), CCONJ (coordinating conjunction), DET (determiner),\
+      \ INTJ (interjection), NOUN (noun), NUM (numeral), PART (particle), PRON (pronoun),\
+      \ PROPN (proposition), PUNCT (punctuation), SCONJ (subordinating conjunction),\
+      \ SYM (symbol), VERB (verb), X (other).  \n\nGenerate this output in the form\
+      \ of word tag pairs for the following sentence:\n{{sentence}}"
+    metadata: !TemplateMetadata
+      choices_in_prompt: false
+      metrics:
+      - Edit Distance
+      original_task: true
+    name: pos-tag-fine-defs-alternate
+    reference: Generating fine-grained POS tags for a sentence (and provides one word
+      expansions of POS tag abbreviations with sentence at end)
+  49c5272f-f5d4-496f-b98d-6b5410efac60: !Template
+    answer_choices: null
+    id: 49c5272f-f5d4-496f-b98d-6b5410efac60
+    jinja: "Given a sentence, label every word in the sentence with a part of speech\
+      \ tag. Following is the list of possible tags: ADJ, ADP, ADV, AUX, CCONJ, DET,\
+      \ INTJ, NOUN, NUM, PART, PRON, PROPN, PUNCT, SCONJ, SYM, VERB, X.  \n\nGenerate\
+      \ this output in the form of word tag pairs for the following sentence:\n{{sentence}}"
+    metadata: !TemplateMetadata
+      choices_in_prompt: false
+      metrics:
+      - Edit Distance
+      original_task: true
+    name: pos-tag-fine-alternate
+    reference: Generating fine-grained POS tags for a sentence (but sentence is provided
+      at the end of the prompt)
+  71f1dcc0-53cf-4986-977b-5d67f92e0a6c: !Template
+    answer_choices: null
+    id: 71f1dcc0-53cf-4986-977b-5d67f92e0a6c
+    jinja: "Provide part of speech tags for every word in the following sentence:\n\
+      {{sentence}}\nFollowing is the list of possible part of speech tags: ADJ, ADP,\
+      \ ADV, AUX, CCONJ, DET, INTJ, NOUN, NUM, PART, PRON, PROPN, PUNCT, SCONJ, SYM,\
+      \ VERB, X.  \nPlease output every word in the sentence followed by its part\
+      \ of speech tag."
+    metadata: !TemplateMetadata
+      choices_in_prompt: false
+      metrics:
+      - Edit Distance
+      original_task: true
+    name: pos-tag-fine
+    reference: Generating fine-grained POS tags for a sentence
+  935decc6-8f35-45e8-9cf5-1f0bf44e4a09: !Template
+    answer_choices: null
+    id: 935decc6-8f35-45e8-9cf5-1f0bf44e4a09
+    jinja: "Read the following sentence and answer the following question:\n{{sentence}}\n\
+      Following is a list of possible part of speech tags: ADJ, ADP, ADV, AUX, CCONJ,\
+      \ DET, INTJ, NOUN, NUM, PART, PRON, PROPN, PUNCT, SCONJ, SYM, VERB, X. Given\
+      \ this list, what are the part of speech tags for each word in the sentence?\
+      \  \nAnswer this by generating every word in the sentence followed by its part\
+      \ of speech tag."
+    metadata: !TemplateMetadata
+      choices_in_prompt: false
+      metrics:
+      - Edit Distance
+      original_task: true
+    name: pos-tag-fine-qa
+    reference: Generating fine-grained POS tags for a sentence (with prompt posed
+      as question)
+  ccd712a7-116c-498c-9e94-a9bd9931f8fd: !Template
+    answer_choices: null
+    id: ccd712a7-116c-498c-9e94-a9bd9931f8fd
+    jinja: "Provide part of speech tags for every word in the following sentence:\n\
+      {{sentence}}\nFollowing is the list of possible part of speech tags: ADJ (adjective),\
+      \ ADP (adposition), ADV (adverb), AUX (auxiliary), CCONJ (coordinating conjunction),\
+      \ DET (determiner), INTJ (interjection), NOUN (noun), NUM (numeral), PART (particle),\
+      \ PRON (pronoun), PROPN (proposition), PUNCT (punctuation), SCONJ (subordinating\
+      \ conjunction), SYM (symbol), VERB (verb), X (other).  \nPlease output every\
+      \ word in the sentence followed by its part of speech tag."
+    metadata: !TemplateMetadata
+      choices_in_prompt: false
+      metrics:
+      - Edit Distance
+      original_task: true
+    name: pos-tag-fine-defs
+    reference: Generating fine-grained POS tags for a sentence (and provides one word
+      expansions of POS tag abbreviations)
+  fed39065-26da-4e12-8a9f-37153023f120: !Template
+    answer_choices: null
+    id: fed39065-26da-4e12-8a9f-37153023f120
+    jinja: "Read the following sentence and answer the following question:\n{{sentence}}\n\
+      Following is a list of possible part of speech tags: ADJ (adjective), ADP (adposition),\
+      \ ADV (adverb), AUX (auxiliary), CCONJ (coordinating conjunction), DET (determiner),\
+      \ INTJ (interjection), NOUN (noun), NUM (numeral), PART (particle), PRON (pronoun),\
+      \ PROPN (proposition), PUNCT (punctuation), SCONJ (subordinating conjunction),\
+      \ SYM (symbol), VERB (verb), X (other). Given this list, what are the part of\
+      \ speech tags for each word in the sentence?  \nAnswer this by generating every\
+      \ word in the sentence followed by its part of speech tag."
+    metadata: !TemplateMetadata
+      choices_in_prompt: false
+      metrics:
+      - Edit Distance
+      original_task: true
+    name: pos-tag-fine-qa-defs
+    reference: Generating fine-grained POS tags for a sentence (with prompt posed
+      as question and POS tag definitions)