Datasets:
Modalities:
Text
Formats:
json
Languages:
English
Size:
10K - 100K
Tags:
data-use
dataset-mention
named-entity-recognition
relation-extraction
text-classification
forced-displacement
License:
FCV data-use paper corpus (6 configs)
Browse files- README.md +1 -2
- extraction/test.jsonl +0 -0
- extraction/train.jsonl +2 -2
- extraction/validation.jsonl +0 -0
README.md
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@@ -80,8 +80,7 @@ All splits are published verbatim exactly as used in the paper.
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## Schemas
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- `extraction` / `synthetic` / `sources`: `{"input", "output": {"entities":
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{"named_data", "descriptive_data", "vague_data"}, "entity_descriptions"}}`
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`extraction/test` additionally carries the model's `predictions`.
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- `extraction` rows carry a `meta` field tagging provenance: `FCV`
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(forced-displacement / FCV corpus) or `PRWP` (Policy Research Working Papers
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-- manually annotated + reviewed/validated). `train` = FCV (2,473) + PRWP
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## Schemas
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- `extraction` / `synthetic` / `sources`: `{"input", "output": {"entities":
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{"named_data", "descriptive_data", "vague_data"}, "entity_descriptions"}}`.
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- `extraction` rows carry a `meta` field tagging provenance: `FCV`
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(forced-displacement / FCV corpus) or `PRWP` (Policy Research Working Papers
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-- manually annotated + reviewed/validated). `train` = FCV (2,473) + PRWP
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extraction/test.jsonl
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extraction/train.jsonl
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version https://git-lfs.github.com/spec/v1
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oid sha256:
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size
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version https://git-lfs.github.com/spec/v1
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oid sha256:246b973a130f61e95d909302eb62ca8af82b9b7cc58203202dfc95e90f1979d6
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size 10466229
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extraction/validation.jsonl
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