Datasets:
Tags:
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query-id
int64 0
11.1k
| corpus-id
int64 63
600k
| score
int64 1
1
|
|---|---|---|
0 | 18,850 | 1 |
4 | 196,463 | 1 |
5 | 69,306 | 1 |
6 | 560,251 | 1 |
6 | 188,530 | 1 |
6 | 564,488 | 1 |
7 | 411,063 | 1 |
9 | 509,122 | 1 |
9 | 184,698 | 1 |
11 | 596,427 | 1 |
12 | 192,516 | 1 |
12 | 338,700 | 1 |
12 | 158,738 | 1 |
13 | 503,678 | 1 |
14 | 398,960 | 1 |
16 | 60,590 | 1 |
19 | 315,086 | 1 |
19 | 142,623 | 1 |
20 | 447,231 | 1 |
21 | 497,642 | 1 |
23 | 550,624 | 1 |
23 | 32,102 | 1 |
25 | 107,584 | 1 |
25 | 562,777 | 1 |
27 | 537,326 | 1 |
28 | 250,640 | 1 |
30 | 551,175 | 1 |
30 | 434,082 | 1 |
30 | 336,922 | 1 |
30 | 19,233 | 1 |
31 | 156,554 | 1 |
32 | 279,480 | 1 |
32 | 69,623 | 1 |
32 | 84,645 | 1 |
33 | 519,798 | 1 |
33 | 425,387 | 1 |
35 | 498,681 | 1 |
35 | 80,913 | 1 |
36 | 275,249 | 1 |
36 | 368,649 | 1 |
37 | 523,564 | 1 |
41 | 176,229 | 1 |
43 | 76,662 | 1 |
45 | 284,610 | 1 |
45 | 261,220 | 1 |
46 | 91,325 | 1 |
47 | 133,299 | 1 |
48 | 108,062 | 1 |
48 | 401,260 | 1 |
48 | 329,810 | 1 |
48 | 512,151 | 1 |
49 | 352,927 | 1 |
51 | 107,817 | 1 |
51 | 257,168 | 1 |
51 | 75,195 | 1 |
52 | 566,417 | 1 |
52 | 125,111 | 1 |
53 | 84,077 | 1 |
53 | 562,798 | 1 |
53 | 102,362 | 1 |
53 | 323,269 | 1 |
53 | 119,308 | 1 |
53 | 184,852 | 1 |
53 | 119,210 | 1 |
53 | 176,196 | 1 |
54 | 590,775 | 1 |
54 | 109,546 | 1 |
54 | 511,651 | 1 |
57 | 203,633 | 1 |
57 | 391,403 | 1 |
57 | 77,818 | 1 |
57 | 226,530 | 1 |
59 | 71,601 | 1 |
61 | 524,134 | 1 |
62 | 34,810 | 1 |
63 | 509,617 | 1 |
64 | 391,619 | 1 |
65 | 580,624 | 1 |
65 | 109,203 | 1 |
66 | 397,608 | 1 |
66 | 540,395 | 1 |
66 | 405,412 | 1 |
67 | 370,815 | 1 |
67 | 294,864 | 1 |
67 | 18,792 | 1 |
67 | 511,571 | 1 |
69 | 378,484 | 1 |
70 | 327,002 | 1 |
71 | 372,052 | 1 |
72 | 549,870 | 1 |
72 | 302,049 | 1 |
74 | 46,680 | 1 |
75 | 297,965 | 1 |
76 | 375,357 | 1 |
78 | 152,407 | 1 |
80 | 252,473 | 1 |
81 | 451,207 | 1 |
82 | 500,708 | 1 |
83 | 534,277 | 1 |
85 | 431,230 | 1 |
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Dataset Summary
- Homepage: https://sites.google.com/view/salt-nlp-flang
- Models: https://huggingface.co/SALT-NLP/FLANG-BERT
- Repository: https://github.com/SALT-NLP/FLANG
FLUE
FLUE (Financial Language Understanding Evaluation) is a comprehensive and heterogeneous benchmark that has been built from 5 diverse financial domain specific datasets.
Sentiment Classification: Financial PhraseBank
Sentiment Analysis, Question Answering: FiQA 2018
New Headlines Classification: Headlines
Named Entity Recognition: NER
Structure Boundary Detection: FinSBD3
Dataset Structure
The FiQA dataset has a corpus, queries and qrels (relevance judgments file). They are in the following format:
corpusfile: a.jsonlfile (jsonlines) that contains a list of dictionaries, each with three fields_idwith unique document identifier,titlewith document title (optional) andtextwith document paragraph or passage. For example:{"_id": "doc1", "title": "Albert Einstein", "text": "Albert Einstein was a German-born...."}queriesfile: a.jsonlfile (jsonlines) that contains a list of dictionaries, each with two fields_idwith unique query identifier andtextwith query text. For example:{"_id": "q1", "text": "Who developed the mass-energy equivalence formula?"}qrelsfile: a.tsvfile (tab-seperated) that contains three columns, i.e. thequery-id,corpus-idandscorein this order. Keep 1st row as header. For example:q1 doc1 1
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