Datasets:
Tasks:
Token Classification
Modalities:
Text
Sub-tasks:
named-entity-recognition
Languages:
English
Size:
100K - 1M
Tags:
structure-prediction
License:
Upload data files to repository and update download URLs (#6)
Browse files- Upload data files to repository and update download URLs (c2e753be5476feb5b50201ad7e5ce34536ee3bfd)
Co-authored-by: Phuc Tran Truong <[email protected]>
- .gitattributes +3 -0
- data/inter.zip +3 -0
- data/intra.zip +3 -0
- data/supervised.zip +3 -0
- few-nerd.py +6 -4
.gitattributes
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@@ -14,3 +14,6 @@
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*.pb filter=lfs diff=lfs merge=lfs -text
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*.pt filter=lfs diff=lfs merge=lfs -text
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*.pth filter=lfs diff=lfs merge=lfs -text
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*.pb filter=lfs diff=lfs merge=lfs -text
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*.pt filter=lfs diff=lfs merge=lfs -text
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*.pth filter=lfs diff=lfs merge=lfs -text
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data/inter.zip filter=lfs diff=lfs merge=lfs -text
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data/intra.zip filter=lfs diff=lfs merge=lfs -text
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data/supervised.zip filter=lfs diff=lfs merge=lfs -text
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data/inter.zip
ADDED
@@ -0,0 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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oid sha256:b1edeb7035f543f0b773bcce438b57198f5093ec8e656c5a2e5356f9e587e485
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size 12029124
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data/intra.zip
ADDED
@@ -0,0 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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oid sha256:7936bf060fa9f98b41b8629a6059df20b16a45d4d73ef382e53754afb30bb143
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size 11945789
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data/supervised.zip
ADDED
@@ -0,0 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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oid sha256:6b38b77701bd50b7615c299988180595c02cca4b4060777fd399039b6336f8ad
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size 14577157
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few-nerd.py
CHANGED
@@ -23,11 +23,13 @@ other two are few-shot: Few-NERD (INTRA) and Few-NERD (INTER).
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_LICENSE = "CC BY-SA 4.0"
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-
# the original data files (zip of .txt) can be downloaded from tsinghua cloud
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_URLs = {
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"supervised": "
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"intra": "
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"inter": "
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}
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# the label ids, for coarse(NER_TAGS_DICT) and fine(FINE_NER_TAGS_DICT)
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_LICENSE = "CC BY-SA 4.0"
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# the original data files (zip of .txt) can be downloaded from tsinghua cloud, but we chose to host them on huggingface.co
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# for better reliability and download speed
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_URL = "https://huggingface.co/datasets/DFKI-SLT/few-nerd/resolve/main/data"
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_URLs = {
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"supervised": f"{_URL}/supervised.zip",
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"intra": f"{_URL}/intra.zip",
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"inter": f"{_URL}/inter.zip"
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}
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# the label ids, for coarse(NER_TAGS_DICT) and fine(FINE_NER_TAGS_DICT)
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