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maikezu
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abstract-gen-acl-17-22

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audio
video
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1
maikezu commited on
Commit
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1 Parent(s): d2c04b5

Add audio files

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Files changed (50) hide show
  1. README.md +10 -8
  2. dev/dev_acl_2022_chunk_0.parquet +3 -0
  3. dev/dev_acl_2022_chunk_1.parquet +3 -0
  4. dev/dev_acl_2022_chunk_10.parquet +3 -0
  5. dev/{dev_acl_2022.parquet → dev_acl_2022_chunk_11.parquet} +2 -2
  6. test/test_emnlp_naacl_2022.parquet → dev/dev_acl_2022_chunk_12.parquet +2 -2
  7. train/train_acl_2017.parquet → dev/dev_acl_2022_chunk_13.parquet +2 -2
  8. dev/dev_acl_2022_chunk_14.parquet +3 -0
  9. train/train_acl_2018.parquet → dev/dev_acl_2022_chunk_15.parquet +2 -2
  10. dev/dev_acl_2022_chunk_16.parquet +3 -0
  11. dev/dev_acl_2022_chunk_17.parquet +3 -0
  12. dev/dev_acl_2022_chunk_2.parquet +3 -0
  13. dev/dev_acl_2022_chunk_3.parquet +3 -0
  14. dev/dev_acl_2022_chunk_4.parquet +3 -0
  15. dev/dev_acl_2022_chunk_5.parquet +3 -0
  16. dev/dev_acl_2022_chunk_6.parquet +3 -0
  17. dev/dev_acl_2022_chunk_7.parquet +3 -0
  18. dev/dev_acl_2022_chunk_8.parquet +3 -0
  19. dev/dev_acl_2022_chunk_9.parquet +3 -0
  20. test/test_emnlp_2022_chunk_0.parquet +3 -0
  21. test/test_emnlp_2022_chunk_1.parquet +3 -0
  22. test/test_emnlp_2022_chunk_2.parquet +3 -0
  23. test/test_emnlp_2022_chunk_3.parquet +3 -0
  24. test/test_emnlp_2022_chunk_4.parquet +3 -0
  25. test/test_emnlp_2022_chunk_5.parquet +3 -0
  26. test/test_emnlp_2022_chunk_6.parquet +3 -0
  27. test/test_emnlp_2022_chunk_7.parquet +3 -0
  28. test/test_emnlp_2022_chunk_8.parquet +3 -0
  29. test/test_emnlp_2022_chunk_9.parquet +3 -0
  30. test/test_naacl_2022_chunk_0.parquet +3 -0
  31. test/test_naacl_2022_chunk_1.parquet +3 -0
  32. test/test_naacl_2022_chunk_10.parquet +3 -0
  33. test/test_naacl_2022_chunk_11.parquet +3 -0
  34. test/test_naacl_2022_chunk_12.parquet +3 -0
  35. test/test_naacl_2022_chunk_13.parquet +3 -0
  36. test/test_naacl_2022_chunk_14.parquet +3 -0
  37. test/test_naacl_2022_chunk_15.parquet +3 -0
  38. test/test_naacl_2022_chunk_16.parquet +3 -0
  39. test/test_naacl_2022_chunk_17.parquet +3 -0
  40. test/test_naacl_2022_chunk_18.parquet +3 -0
  41. test/test_naacl_2022_chunk_19.parquet +3 -0
  42. test/test_naacl_2022_chunk_2.parquet +3 -0
  43. test/test_naacl_2022_chunk_3.parquet +3 -0
  44. test/test_naacl_2022_chunk_4.parquet +3 -0
  45. test/test_naacl_2022_chunk_5.parquet +3 -0
  46. test/test_naacl_2022_chunk_6.parquet +3 -0
  47. test/test_naacl_2022_chunk_7.parquet +3 -0
  48. test/test_naacl_2022_chunk_8.parquet +3 -0
  49. test/test_naacl_2022_chunk_9.parquet +3 -0
  50. train/train_acl_2017_chunk_0.parquet +3 -0
README.md CHANGED
@@ -17,6 +17,8 @@ dataset_info:
17
  dtype: string
18
  - name: abstract
19
  dtype: string
 
 
20
  - name: language
21
  dtype: string
22
  - name: split
@@ -28,11 +30,11 @@ dataset_info:
28
  config_name: default
29
  splits:
30
  - name: train
31
- num_examples: 4333
32
  - name: dev
33
- num_examples: 886
34
  - name: test
35
- num_examples: 1432
36
  tags:
37
  - text
38
  - audio
@@ -42,18 +44,18 @@ tags:
42
  # Abstract Generation with ACL talks
43
 
44
  This dataset is designed for the task of Multimodal Abstract Generation from scientific talks.
45
- It provides links to videos of academic presentations from ACL conferences, paired with their corresponding abstracts.
46
  The goal is to generate concise, informative summaries (abstracts) based on the content.
47
 
48
- Soon, we will also upload the audio files for easier usage!
49
 
50
  ## Dataset Splits
51
 
52
  | Split | Number of Examples |
53
  |-------|--------------------|
54
- | train | 4333 |
55
- | dev | 886 |
56
- | test | 1432 |
57
 
58
  ## Citation
59
 
 
17
  dtype: string
18
  - name: abstract
19
  dtype: string
20
+ - name: audio
21
+ dtype: Audio
22
  - name: language
23
  dtype: string
24
  - name: split
 
30
  config_name: default
31
  splits:
32
  - name: train
33
+ num_examples: 4000
34
  - name: dev
35
+ num_examples: 885
36
  - name: test
37
+ num_examples: 1431
38
  tags:
39
  - text
40
  - audio
 
44
  # Abstract Generation with ACL talks
45
 
46
  This dataset is designed for the task of Multimodal Abstract Generation from scientific talks.
47
+ It provides links to videos of academic presentations from ACL conferences, paired with their corresponding abstracts as well as the audio recordings.
48
  The goal is to generate concise, informative summaries (abstracts) based on the content.
49
 
50
+
51
 
52
  ## Dataset Splits
53
 
54
  | Split | Number of Examples |
55
  |-------|--------------------|
56
+ | train | 4000 |
57
+ | dev | 885 |
58
+ | test | 1431 |
59
 
60
  ## Citation
61
 
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