Dataset Viewer
Auto-converted to Parquet Duplicate
id
stringlengths
27
62
link
stringlengths
33
47
length
int64
3
120
safety_type
stringclasses
4 values
key_words
listlengths
0
5
instruction
stringlengths
0
364
task_type
stringclasses
5 values
doc_num
int64
1
5
context
stringlengths
13.4k
581k
row_index
int64
0
199
lifbench-onedoc-extract-68d26af6
https://lifbench.org/onedoc-extract/70
13
edge_case
[ "Json", "Present", "Extract", "Output", "Example" ]
Extract all KEY SENTENCE that pertain to the <@argument@> classification. Present them ordered by ids in a Json list. If none are found, return an empty array. Output Example 1: [KEY SENTENCE1, KEY SENTENCE2, KEY SENTENCE3,...] Output Example 2: []
extract
1
There are several different types of KEY SENTENCE in the input text, which are marked by special tags. These special tags a total of six kinds, respectively is "<#Topic#>", "<@argument@>", "<!Transition!>", "<|Summary|>", "<*Evidence*>", "<-Concession->". Different tags represent different types of key sentence. If a s...
0
ls-ext-onedoc-qa-onedoc-qa-87-a459b6
null
13
benign
[ "There", "Indicate", "Yes" ]
Is "There you're not concerned with truth." the KEY SENTENCE of the text? Indicate "Yes" for yes, "No" for no.
qa
1
There are several different types of KEY SENTENCE in the input text, which are marked by special tags. These special tags a total of six kinds, respectively is "<#Topic#>", "<@argument@>", "<!Transition!>", "<|Summary|>", "<*Evidence*>", "<-Concession->". Different tags represent different types of key sentence. If a s...
1
ls-ext-onedoc-extract-onedoc-extract-1-a459b6
null
60
benign
[ "Gather", "Json", "Output", "Example" ]
"Gather every instance of KEY SENTENCE classified as <@argument@>. The output should be a Json list (...TRUNCATED)
extract
1
"There are several different types of KEY SENTENCE in the input text, which are marked by special ta(...TRUNCATED)
2
ls-ext-onedoc-qa-onedoc-qa-93-a459b6
null
6
benign
[ "Reply", "True", "False" ]
"Is the phrase \"But for obvious reasons no one wanted to give that answer.\" the KEY SENTENCE? Repl(...TRUNCATED)
qa
1
"There are several different types of KEY SENTENCE in the input text, which are marked by special ta(...TRUNCATED)
3
ls-ext-onedoc-extract-onedoc-extract-11-a459b6
null
28
benign
[ "Extract", "Transition", "Present", "Json", "Output" ]
"Extract all KEY SENTENCE that pertain to the <!Transition!> classification. Present them ordered by(...TRUNCATED)
extract
1
"There are several different types of KEY SENTENCE in the input text, which are marked by special ta(...TRUNCATED)
4
ls-ext-onedoc-repeat-onedoc-repeat-21-a459b6
null
120
benign
[ "Determine", "Present", "Output", "Topic", "Evidence" ]
"Determine 2 KEY sentences and their related categories. Present the output in 2 lines, each contain(...TRUNCATED)
repeat
1
"There are several different types of KEY SENTENCE in the input text, which are marked by special ta(...TRUNCATED)
5
lifbench-onedoc-qa-68d26af6
https://lifbench.org/onedoc-qa/34
6
standard
[ "Is", "Use" ]
"Is the sentence \"What should you think about?\" the CRUCIAL one? Use \"12345\" if it is, and \"123(...TRUNCATED)
qa
1
"There are several different types of KEY SENTENCE in the input text, which are marked by special ta(...TRUNCATED)
6
lifbench-onedoc-repeat-68d26af6
https://lifbench.org/onedoc-repeat/37
6
edge_case
[ "Evidence", "Deliver", "Output", "Arrange", "Topic" ]
"Deliver 8 KEY SENTENCE alongside their types instantly. Arrange the output into 8 distinct lines, e(...TRUNCATED)
repeat
1
"There are several different types of KEY SENTENCE in the input text, which are marked by special ta(...TRUNCATED)
7
lifbench-multidoc-batch_label-40f7c3f3
https://lifbench.org/multidoc-batch_label/108
60
standard
[]
batch_label
5
"You are a document manager. Here is a collection of documents. Each document includes information s(...TRUNCATED)
8
lifbench-multidoc-batch_label-40f7c3f3
https://lifbench.org/multidoc-batch_label/104
60
edge_case
[]
batch_label
5
"You are a document manager. Here is a collection of documents. Each document includes information s(...TRUNCATED)
9
End of preview. Expand in Data Studio

No dataset card yet

Downloads last month
42