Datasets:
Tasks:
Text Retrieval
Sub-tasks:
document-retrieval
Languages:
English
Size:
1K<n<10K
ArXiv:
License:
add dataset_info in dataset metadata
Browse files
README.md
CHANGED
@@ -18,6 +18,106 @@ task_categories:
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- text-retrieval
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task_ids:
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- document-retrieval
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---
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# Dataset Card for Text-based NP Enrichment
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@@ -188,4 +288,4 @@ The data is released under the MIT license.
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### Contributions
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-
Thanks to [@yanaiela](https://github.com/yanaiela), who is also the first author of the paper, for adding this dataset.
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- text-retrieval
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task_ids:
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- document-retrieval
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dataset_info:
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features:
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- name: id
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dtype: string
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- name: text
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dtype: string
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- name: tokens
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sequence: string
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- name: nps
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list:
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- name: text
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dtype: string
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- name: first_char
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dtype: int32
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- name: last_char
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dtype: int32
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- name: first_token
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dtype: int32
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- name: last_token
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dtype: int32
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- name: id
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dtype: string
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- name: np_relations
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list:
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- name: anchor
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dtype: string
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- name: complement
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dtype: string
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- name: preposition
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dtype:
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class_label:
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names:
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0: about
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1: for
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2: with
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3: from
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4: among
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5: by
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6: 'on'
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7: at
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8: during
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9: of
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10: member(s) of
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11: in
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12: after
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13: under
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14: to
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15: into
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16: before
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17: near
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18: outside
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19: around
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20: between
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21: against
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22: over
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23: inside
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- name: complement_coref_cluster_id
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dtype: string
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- name: coref
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list:
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- name: id
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dtype: string
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- name: members
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sequence: string
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- name: np_type
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dtype:
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class_label:
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names:
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0: standard
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1: time/date/measurement
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2: idiomatic
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- name: metadata
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struct:
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- name: annotators
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struct:
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- name: coref_worker
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dtype: int32
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- name: consolidator_worker
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dtype: int32
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- name: np-relations_worker
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sequence: int32
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- name: url
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dtype: string
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- name: source
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dtype: string
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splits:
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- name: test
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num_bytes: 2203716
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num_examples: 500
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- name: test_ood
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num_bytes: 2249352
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num_examples: 509
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- name: train
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num_bytes: 41308170
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num_examples: 3988
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- name: validation
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num_bytes: 5495419
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num_examples: 500
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download_size: 14194578
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dataset_size: 51256657
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---
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# Dataset Card for Text-based NP Enrichment
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288 |
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### Contributions
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290 |
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+
Thanks to [@yanaiela](https://github.com/yanaiela), who is also the first author of the paper, for adding this dataset.
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