Changes
On August 4, 2023 at 8:46:39 AM UTC,
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Set author of MM_Claims Dataset to Gullal S. Cheema (previously Gullal S. Cheema, Sherzod Hakimov, Abdul Sittar, Eric Müller-Budack, Christian Otto, Ralph Ewerth)
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Updated description of MM_Claims Dataset from
This dataset is introduced by the paper "MM-Claims: A Dataset for Multimodal Claim Detection in Social Media" If you use this dataset in your work, please cite: @inproceedings{cheema-etal-2022-mm, title = "{MM}-Claims: A Dataset for Multimodal Claim Detection in Social Media", author = {Cheema, Gullal Singh and Hakimov, Sherzod and Sittar, Abdul and M{\"u}ller-Budack, Eric and Otto, Christian and Ewerth, Ralph}, booktitle = "Findings of the Association for Computational Linguistics: NAACL 2022", month = jul, year = "2022", address = "Seattle, United States", publisher = "Association for Computational Linguistics", url = "https://aclanthology.org/2022.findings-naacl.72", pages = "962--979" } Information about columns in the files: 1. claim_binary: {0: 'Not a claim', 1: 'claim'} 2. claim_three: {0: 'Not a claim', '1': 'claim but not check-worthy', 2: 'check-worthy claim'} 3. claim_vis: {0: 'Not a claim', '1': 'visually-irrelevant claim', 2: 'visually-relevant claim'} Official code repository: https://github.com/TIBHannover/MM_Claims
toThis dataset is introduced by the paper "MM-Claims: A Dataset for Multimodal Claim Detection in Social Media" If you use this dataset in your work, please cite: @inproceedings{cheema-etal-2022-mm, title = "{MM}-Claims: A Dataset for Multimodal Claim Detection in Social Media", author = {Cheema, Gullal Singh and Hakimov, Sherzod and Sittar, Abdul and M{\"u}ller-Budack, Eric and Otto, Christian and Ewerth, Ralph}, booktitle = "Findings of the Association for Computational Linguistics: NAACL 2022", month = jul, year = "2022", address = "Seattle, United States", publisher = "Association for Computational Linguistics", url = "https://aclanthology.org/2022.findings-naacl.72", pages = "962--979" } Information about columns in the files: 1. claim_binary: {0: 'Not a claim', 1: 'claim'} 2. claim_three: {0: 'Not a claim', '1': 'claim but not check-worthy', 2: 'check-worthy claim'} 3. claim_vis: {0: 'Not a claim', '1': 'visually-irrelevant claim', 2: 'visually-relevant claim'} Official code repository: https://github.com/TIBHannover/MM_Claims **All files were updated on 5th May 2023, with some images removed because of obscene images that were not automatically detected in the first phase.** **If you are interested in the binary task on check-worthiness estimation in multimodal claims, you can find the refined dataset with new test data released as part of the CLEF Checkthat! 2023 challenge: https://gitlab.com/checkthat_lab/clef2023-checkthat-lab/-/tree/main**
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Changed the version of MM_Claims Dataset to 1.1 (previously 1.0)
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Changed value of field
source_metadata_modified
to2023-07-10T09:52:20.453624
in MM_Claims Dataset -
Uploaded a new file to resource val_with_resolved_conflicts.csv in MM_Claims Dataset
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Renamed resource unlabaled_tweet_ids.csv to unlabeled_tweet_ids.csv in MM_Claims Dataset
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Uploaded a new file to resource unlabeled_tweet_ids.csv in MM_Claims Dataset
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Uploaded a new file to resource val_without_conflicts.csv in MM_Claims Dataset
f | 1 | { | f | 1 | { |
n | 2 | "author": "Gullal S. Cheema, Sherzod Hakimov, Abdul Sittar, Eric | n | 2 | "author": "Gullal S. Cheema", |
3 | M\u00fcller-Budack, Christian Otto, Ralph Ewerth", | ||||
4 | "author_email": "gullal.cheema@tib.eu", | 3 | "author_email": "gullal.cheema@tib.eu", | ||
5 | "creator_user_id": "17755db4-395a-4b3b-ac09-e8e3484ca700", | 4 | "creator_user_id": "17755db4-395a-4b3b-ac09-e8e3484ca700", | ||
6 | "doi": "10.25835/2lg7peic", | 5 | "doi": "10.25835/2lg7peic", | ||
7 | "doi_date_published": "2022-07-13", | 6 | "doi_date_published": "2022-07-13", | ||
8 | "doi_publisher": "LUIS", | 7 | "doi_publisher": "LUIS", | ||
9 | "doi_status": "true", | 8 | "doi_status": "true", | ||
10 | "domain": "https://data.uni-hannover.de", | 9 | "domain": "https://data.uni-hannover.de", | ||
n | n | 10 | "extra_authors": [ | ||
11 | { | ||||
12 | "extra_author": " Sherzod Hakimov" | ||||
13 | }, | ||||
14 | { | ||||
15 | "extra_author": " Abdul Sittar" | ||||
16 | }, | ||||
17 | { | ||||
18 | "extra_author": " Eric M\u00fcller-Budack" | ||||
19 | }, | ||||
20 | { | ||||
21 | "extra_author": " Christian Otto" | ||||
22 | }, | ||||
23 | { | ||||
24 | "extra_author": " Ralph Ewerth" | ||||
25 | } | ||||
26 | ], | ||||
11 | "groups": [], | 27 | "groups": [], | ||
12 | "have_copyright": "Yes", | 28 | "have_copyright": "Yes", | ||
13 | "id": "4608a35d-3824-4d60-a0a4-cc7c2f2b2fa8", | 29 | "id": "4608a35d-3824-4d60-a0a4-cc7c2f2b2fa8", | ||
14 | "isopen": false, | 30 | "isopen": false, | ||
15 | "license_id": "CC-BY-NC-3.0", | 31 | "license_id": "CC-BY-NC-3.0", | ||
16 | "license_title": "CC-BY-NC-3.0", | 32 | "license_title": "CC-BY-NC-3.0", | ||
17 | "maintainer": "Gullal S. Cheema", | 33 | "maintainer": "Gullal S. Cheema", | ||
18 | "maintainer_email": "gullal.cheema@tib.eu", | 34 | "maintainer_email": "gullal.cheema@tib.eu", | ||
19 | "metadata_created": "2023-01-12T13:14:20.741869", | 35 | "metadata_created": "2023-01-12T13:14:20.741869", | ||
n | 20 | "metadata_modified": "2023-01-12T13:14:20.741876", | n | 36 | "metadata_modified": "2023-08-04T08:46:39.781666", |
21 | "name": "luh-mm_claims", | 37 | "name": "luh-mm_claims", | ||
22 | "notes": "This dataset is introduced by the paper \"MM-Claims: A | 38 | "notes": "This dataset is introduced by the paper \"MM-Claims: A | ||
23 | Dataset for Multimodal Claim Detection in Social Media\"\r\n\r\nIf you | 39 | Dataset for Multimodal Claim Detection in Social Media\"\r\n\r\nIf you | ||
24 | use this dataset in your work, please | 40 | use this dataset in your work, please | ||
25 | cite:\r\n\r\n@inproceedings{cheema-etal-2022-mm,\r\n title = | 41 | cite:\r\n\r\n@inproceedings{cheema-etal-2022-mm,\r\n title = | ||
26 | \"{MM}-Claims: A Dataset for Multimodal Claim Detection in Social | 42 | \"{MM}-Claims: A Dataset for Multimodal Claim Detection in Social | ||
27 | Media\",\r\n author = {Cheema, Gullal Singh and Hakimov, Sherzod | 43 | Media\",\r\n author = {Cheema, Gullal Singh and Hakimov, Sherzod | ||
28 | and Sittar, Abdul and M{\\\"u}ller-Budack, Eric and Otto, Christian | 44 | and Sittar, Abdul and M{\\\"u}ller-Budack, Eric and Otto, Christian | ||
29 | and Ewerth, Ralph},\r\n booktitle = \"Findings of the Association | 45 | and Ewerth, Ralph},\r\n booktitle = \"Findings of the Association | ||
30 | for Computational Linguistics: NAACL 2022\",\r\n month = jul,\r\n | 46 | for Computational Linguistics: NAACL 2022\",\r\n month = jul,\r\n | ||
31 | year = \"2022\",\r\n address = \"Seattle, United States\",\r\n | 47 | year = \"2022\",\r\n address = \"Seattle, United States\",\r\n | ||
32 | publisher = \"Association for Computational Linguistics\",\r\n url | 48 | publisher = \"Association for Computational Linguistics\",\r\n url | ||
33 | = \"https://aclanthology.org/2022.findings-naacl.72\",\r\n pages = | 49 | = \"https://aclanthology.org/2022.findings-naacl.72\",\r\n pages = | ||
34 | \"962--979\"\r\n}\r\n\r\n\r\nInformation about columns in the | 50 | \"962--979\"\r\n}\r\n\r\n\r\nInformation about columns in the | ||
35 | files:\r\n\r\n1. claim_binary: {0: 'Not a claim', 1: | 51 | files:\r\n\r\n1. claim_binary: {0: 'Not a claim', 1: | ||
36 | 'claim'}\r\n\r\n2. claim_three: {0: 'Not a claim', '1': 'claim but not | 52 | 'claim'}\r\n\r\n2. claim_three: {0: 'Not a claim', '1': 'claim but not | ||
37 | check-worthy', 2: 'check-worthy claim'}\r\n\r\n3. claim_vis: {0: 'Not | 53 | check-worthy', 2: 'check-worthy claim'}\r\n\r\n3. claim_vis: {0: 'Not | ||
38 | a claim', '1': 'visually-irrelevant claim', 2: 'visually-relevant | 54 | a claim', '1': 'visually-irrelevant claim', 2: 'visually-relevant | ||
39 | claim'}\r\n\r\nOfficial code repository: | 55 | claim'}\r\n\r\nOfficial code repository: | ||
n | 40 | https://github.com/TIBHannover/MM_Claims", | n | 56 | https://github.com/TIBHannover/MM_Claims\r\n\r\n**All files were |
57 | updated on 5th May 2023, with some images removed because of obscene | ||||
58 | images that were not automatically detected in the first | ||||
59 | phase.**\r\n\r\n**If you are interested in the binary task on | ||||
60 | check-worthiness estimation in multimodal claims, you can find the | ||||
61 | refined dataset with new test data released as part of the CLEF | ||||
62 | Checkthat! 2023 challenge: | ||||
63 | ttps://gitlab.com/checkthat_lab/clef2023-checkthat-lab/-/tree/main**", | ||||
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42 | "num_tags": 6, | 65 | "num_tags": 6, | ||
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44 | "approval_status": "approved", | 67 | "approval_status": "approved", | ||
45 | "created": "2017-11-23T17:30:37.757128", | 68 | "created": "2017-11-23T17:30:37.757128", | ||
46 | "description": "The German National Library of Science and | 69 | "description": "The German National Library of Science and | ||
47 | Technology, abbreviated TIB, is the national library of the Federal | 70 | Technology, abbreviated TIB, is the national library of the Federal | ||
48 | Republic of Germany for all fields of engineering, technology, and the | 71 | Republic of Germany for all fields of engineering, technology, and the | ||
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53 | "is_organization": true, | 76 | "is_organization": true, | ||
54 | "name": "tib", | 77 | "name": "tib", | ||
55 | "state": "active", | 78 | "state": "active", | ||
56 | "title": "TIB", | 79 | "title": "TIB", | ||
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60 | "private": false, | 83 | "private": false, | ||
61 | "relationships_as_object": [], | 84 | "relationships_as_object": [], | ||
62 | "relationships_as_subject": [], | 85 | "relationships_as_subject": [], | ||
63 | "repository_name": "Leibniz University Hannover", | 86 | "repository_name": "Leibniz University Hannover", | ||
64 | "resources": [ | 87 | "resources": [ | ||
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115 | "description": "Validation split with annotation conflicts | 138 | "description": "Validation split with annotation conflicts | ||
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184 | "description": "Testing split with annotation conflict samples | 207 | "description": "Testing split with annotation conflict samples | ||
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191 | "mimetype": "text/csv", | 214 | "mimetype": "text/csv", | ||
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193 | "name": "test_without_conflicts.csv", | 216 | "name": "test_without_conflicts.csv", | ||
194 | "package_id": "4608a35d-3824-4d60-a0a4-cc7c2f2b2fa8", | 217 | "package_id": "4608a35d-3824-4d60-a0a4-cc7c2f2b2fa8", | ||
195 | "position": 5, | 218 | "position": 5, | ||
196 | "resource_type": null, | 219 | "resource_type": null, | ||
n | 197 | "size": 17006, | n | 220 | "size": 16814, |
198 | "state": "active", | 221 | "state": "active", | ||
199 | "url": | 222 | "url": | ||
200 | 6ec7-6226-48e9-90e3-fd23921759f4/download/test_without_conflicts.csv", | 223 | 6ec7-6226-48e9-90e3-fd23921759f4/download/test_without_conflicts.csv", | ||
201 | "url_type": "" | 224 | "url_type": "" | ||
202 | }, | 225 | }, | ||
203 | { | 226 | { | ||
204 | "cache_last_updated": null, | 227 | "cache_last_updated": null, | ||
205 | "cache_url": null, | 228 | "cache_url": null, | ||
206 | "created": "2022-07-13T18:08:01.589359", | 229 | "created": "2022-07-13T18:08:01.589359", | ||
207 | "description": "Unlabeled data tweet IDs", | 230 | "description": "Unlabeled data tweet IDs", | ||
208 | "format": "CSV", | 231 | "format": "CSV", | ||
209 | "hash": "", | 232 | "hash": "", | ||
210 | "id": "1a9ad255-b057-4273-80ce-2b11b5eb470b", | 233 | "id": "1a9ad255-b057-4273-80ce-2b11b5eb470b", | ||
n | 211 | "last_modified": "2022-07-13T18:08:01.543193", | n | 234 | "last_modified": "2023-05-05T12:33:54.197617", |
212 | "metadata_modified": "2023-01-12T13:14:20.732132", | 235 | "metadata_modified": "2023-08-04T08:46:39.786032", | ||
213 | "mimetype": "text/csv", | 236 | "mimetype": "text/csv", | ||
214 | "mimetype_inner": null, | 237 | "mimetype_inner": null, | ||
n | 215 | "name": "unlabaled_tweet_ids.csv", | n | 238 | "name": "unlabeled_tweet_ids.csv", |
216 | "package_id": "4608a35d-3824-4d60-a0a4-cc7c2f2b2fa8", | 239 | "package_id": "4608a35d-3824-4d60-a0a4-cc7c2f2b2fa8", | ||
217 | "position": 6, | 240 | "position": 6, | ||
218 | "resource_type": null, | 241 | "resource_type": null, | ||
n | 219 | "size": 2095536, | n | 242 | "size": 2030929, |
220 | "state": "active", | 243 | "state": "active", | ||
221 | "url": | 244 | "url": | ||
n | 222 | a9ad255-b057-4273-80ce-2b11b5eb470b/download/unlabaled_tweet_ids.csv", | n | 245 | a9ad255-b057-4273-80ce-2b11b5eb470b/download/unlabeled_tweet_ids.csv", |
223 | "url_type": "" | 246 | "url_type": "" | ||
224 | } | 247 | } | ||
225 | ], | 248 | ], | ||
n | n | 249 | "services_used_list": "", | ||
226 | "source_metadata_created": "2022-05-02T09:51:16.690788", | 250 | "source_metadata_created": "2022-05-02T09:51:16.690788", | ||
n | 227 | "source_metadata_modified": "2022-09-13T16:49:04.266978", | n | 251 | "source_metadata_modified": "2023-07-10T09:52:20.453624", |
228 | "state": "active", | 252 | "state": "active", | ||
229 | "tags": [ | 253 | "tags": [ | ||
230 | { | 254 | { | ||
231 | "display_name": "claim detection", | 255 | "display_name": "claim detection", | ||
232 | "id": "c980180b-d92a-4d3d-bee8-ea29381260b9", | 256 | "id": "c980180b-d92a-4d3d-bee8-ea29381260b9", | ||
233 | "name": "claim detection", | 257 | "name": "claim detection", | ||
234 | "state": "active", | 258 | "state": "active", | ||
235 | "vocabulary_id": null | 259 | "vocabulary_id": null | ||
236 | }, | 260 | }, | ||
237 | { | 261 | { | ||
238 | "display_name": "deep learning", | 262 | "display_name": "deep learning", | ||
239 | "id": "19e41883-3799-4184-9e0e-26c95795b119", | 263 | "id": "19e41883-3799-4184-9e0e-26c95795b119", | ||
240 | "name": "deep learning", | 264 | "name": "deep learning", | ||
241 | "state": "active", | 265 | "state": "active", | ||
242 | "vocabulary_id": null | 266 | "vocabulary_id": null | ||
243 | }, | 267 | }, | ||
244 | { | 268 | { | ||
245 | "display_name": "fake news", | 269 | "display_name": "fake news", | ||
246 | "id": "322e1dcc-43b8-4961-b2e4-921cb74ffbf6", | 270 | "id": "322e1dcc-43b8-4961-b2e4-921cb74ffbf6", | ||
247 | "name": "fake news", | 271 | "name": "fake news", | ||
248 | "state": "active", | 272 | "state": "active", | ||
249 | "vocabulary_id": null | 273 | "vocabulary_id": null | ||
250 | }, | 274 | }, | ||
251 | { | 275 | { | ||
252 | "display_name": "multimodality", | 276 | "display_name": "multimodality", | ||
253 | "id": "ef06bf6b-2c5e-4ac5-89cc-ef36f0038675", | 277 | "id": "ef06bf6b-2c5e-4ac5-89cc-ef36f0038675", | ||
254 | "name": "multimodality", | 278 | "name": "multimodality", | ||
255 | "state": "active", | 279 | "state": "active", | ||
256 | "vocabulary_id": null | 280 | "vocabulary_id": null | ||
257 | }, | 281 | }, | ||
258 | { | 282 | { | ||
259 | "display_name": "social media", | 283 | "display_name": "social media", | ||
260 | "id": "e3129b62-a584-477e-b624-9d6472d93c5d", | 284 | "id": "e3129b62-a584-477e-b624-9d6472d93c5d", | ||
261 | "name": "social media", | 285 | "name": "social media", | ||
262 | "state": "active", | 286 | "state": "active", | ||
263 | "vocabulary_id": null | 287 | "vocabulary_id": null | ||
264 | }, | 288 | }, | ||
265 | { | 289 | { | ||
266 | "display_name": "twitter", | 290 | "display_name": "twitter", | ||
267 | "id": "2bfffab2-afed-489c-a803-6f45d90bbc4a", | 291 | "id": "2bfffab2-afed-489c-a803-6f45d90bbc4a", | ||
268 | "name": "twitter", | 292 | "name": "twitter", | ||
269 | "state": "active", | 293 | "state": "active", | ||
270 | "vocabulary_id": null | 294 | "vocabulary_id": null | ||
271 | } | 295 | } | ||
272 | ], | 296 | ], | ||
273 | "terms_of_usage": "Yes", | 297 | "terms_of_usage": "Yes", | ||
274 | "title": "MM_Claims Dataset", | 298 | "title": "MM_Claims Dataset", | ||
275 | "type": "vdataset", | 299 | "type": "vdataset", | ||
276 | "url": "https://data.uni-hannover.de/dataset/mm_claims", | 300 | "url": "https://data.uni-hannover.de/dataset/mm_claims", | ||
t | 277 | "version": "1.0" | t | 301 | "version": "1.1" |
278 | } | 302 | } |