datasetId
stringlengths 2
117
| author
stringlengths 2
42
⌀ | last_modified
timestamp[us, tz=UTC] | downloads
int64 0
9.36M
| likes
int64 0
3.89k
| tags
list | task_categories
list | createdAt
timestamp[us, tz=UTC] | card
stringlengths 19
1.01M
| embedding
list |
|---|---|---|---|---|---|---|---|---|---|
jahb57/gpt2_embeddings_BATCH_6 | jahb57 | 2023-12-09T03:32:50Z | 4 | 0 | [
"region:us"
]
| null | 2023-12-03T23:45:00Z | ---
dataset_info:
features:
- name: sentence
dtype: string
- name: last_hidden_state
sequence:
sequence: float32
splits:
- name: train
num_bytes: 18381652700
num_examples: 100000
download_size: 18428677939
dataset_size: 18381652700
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
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|
imZoe/actionbasedataset | imZoe | 2023-12-05T19:31:11Z | 4 | 0 | [
"region:us"
]
| null | 2023-12-04T21:25:18Z | ---
dataset_info:
features:
- name: text
dtype: string
splits:
- name: train
num_bytes: 34158
num_examples: 30
download_size: 17843
dataset_size: 34158
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
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|
gbwsolutions/autotrain-data-TMMultiComment | gbwsolutions | 2023-12-05T03:23:05Z | 4 | 0 | [
"region:us"
]
| null | 2023-12-05T03:23:03Z | ---
dataset_info:
features:
- name: autotrain_text
dtype: string
- name: autotrain_label
dtype:
class_label:
names:
'0': Accuracy|Delivery
'1': Accuracy|Menu
'2': Accuracy|Price
'3': Cleanliness|Menu
'4': Cleanliness|Price
'5': Quality|Accuracy
'6': Quality|Price
'7': Speed|Delivery
'8': Speed|Staff
'9': Taste|Menu
splits:
- name: train
num_bytes: 25596
num_examples: 120
- name: validation
num_bytes: 6389
num_examples: 30
download_size: 25356
dataset_size: 31985
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: validation
path: data/validation-*
---
# Dataset Card for "autotrain-data-TMMultiComment"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | [
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|
namwooooo/embedded-things | namwooooo | 2023-12-05T07:31:03Z | 4 | 0 | [
"license:mit",
"region:us"
]
| null | 2023-12-05T07:13:03Z | ---
license: mit
---
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|
ineoApp/ds_001 | ineoApp | 2023-12-05T13:52:04Z | 4 | 0 | [
"region:us"
]
| null | 2023-12-05T13:51:07Z | ---
dataset_info:
features:
- name: id
dtype: string
- name: image
dtype: image
- name: bboxes
sequence:
sequence: int64
- name: ner_tags
sequence:
class_label:
names:
'0': O
'1': numero facture
'2': fournisseur
'3': date facture
'4': date limite
'5': montant ht
'6': montant ttc
'7': tva
'8': prix tva
'9': addresse
'10': reference
'11': art1 designation
'12': art1 quantite
'13': art1 prix unit
'14': art1 tva
'15': art1 montant ht
'16': art2 designation
'17': art2 quantite
'18': art2 prix unit
'19': art2 tva
'20': art2 montant ht
- name: tokens
sequence: string
splits:
- name: train
num_bytes: 19296675.80952381
num_examples: 16
- name: test
num_bytes: 6030211.19047619
num_examples: 5
download_size: 25277003
dataset_size: 25326887.0
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: test
path: data/test-*
---
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|
pythera/english-mlmcorpus | pythera | 2023-12-05T19:45:08Z | 4 | 0 | [
"region:us"
]
| null | 2023-12-05T17:05:13Z | ---
dataset_info:
features:
- name: text
dtype: string
splits:
- name: train
num_bytes: 93832106139.0
num_examples: 90584920
download_size: 58728372904
dataset_size: 93832106139.0
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
# Dataset Card for "english-mlmcorpus"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | [
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|
Davyzaumm/sara | Davyzaumm | 2023-12-05T23:47:02Z | 4 | 0 | [
"license:openrail",
"region:us"
]
| null | 2023-12-05T23:46:00Z | ---
license: openrail
---
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|
insub/imdb_prefix3_forDPO_gpt2-large-imdb-FT_siebert_sentiment-roberta-large-english | insub | 2023-12-06T11:58:51Z | 4 | 0 | [
"region:us"
]
| null | 2023-12-06T11:58:42Z | ---
dataset_info:
features:
- name: text
dtype: string
- name: chosen
struct:
- name: score
dtype: float64
- name: text
dtype: string
- name: rejected
struct:
- name: score
dtype: float64
- name: text
dtype: string
splits:
- name: train
num_bytes: 22569054
num_examples: 25000
- name: test
num_bytes: 22528033
num_examples: 25000
download_size: 24024643
dataset_size: 45097087
---
# Dataset Card for "imdb_prefix3_forDPO_gpt2-large-imdb-FT_siebert_sentiment-roberta-large-english"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | [
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|
Seongill/Trivia_missing_10 | Seongill | 2023-12-06T12:49:11Z | 4 | 1 | [
"region:us"
]
| null | 2023-12-06T12:49:05Z | ---
dataset_info:
features:
- name: question
dtype: string
- name: answers
sequence: string
- name: ctxs
list:
- name: hasanswer
dtype: bool
- name: id
dtype: string
- name: score
dtype: float64
- name: text
dtype: string
- name: title
dtype: string
- name: has_answer
dtype: bool
splits:
- name: train
num_bytes: 77958287
num_examples: 11313
download_size: 46352356
dataset_size: 77958287
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
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|
megastruktur/kult4e-lie | megastruktur | 2023-12-07T12:01:21Z | 4 | 0 | [
"license:apache-2.0",
"region:us"
]
| null | 2023-12-06T14:27:14Z | ---
license: apache-2.0
---
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|
rntc/blurb_bc5disease_a | rntc | 2023-12-06T16:19:12Z | 4 | 0 | [
"region:us"
]
| null | 2023-12-06T16:19:05Z | ---
dataset_info:
features:
- name: id
dtype: string
- name: tokens
sequence: string
- name: type
dtype: string
- name: ner_tags
sequence:
class_label:
names:
'0': O
'1': B
'2': I
splits:
- name: train
num_bytes: 52115395
num_examples: 4560
- name: validation
num_bytes: 50447102
num_examples: 4581
- name: test
num_bytes: 52806457
num_examples: 4797
download_size: 19220844
dataset_size: 155368954
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: validation
path: data/validation-*
- split: test
path: data/test-*
---
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|
rntc/blurb_bc5chem_a-tm | rntc | 2023-12-06T17:39:34Z | 4 | 0 | [
"region:us"
]
| null | 2023-12-06T17:39:30Z | ---
dataset_info:
features:
- name: id
dtype: string
- name: tokens
sequence: string
- name: type
dtype: string
- name: ner_tags
sequence:
class_label:
names:
'0': O
'1': B
'2': I
splits:
- name: train
num_bytes: 12559349
num_examples: 4560
- name: validation
num_bytes: 13337850
num_examples: 4581
- name: test
num_bytes: 12530047
num_examples: 4797
download_size: 5504516
dataset_size: 38427246
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: validation
path: data/validation-*
- split: test
path: data/test-*
---
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|
rntc/blurb_bc5chem_a | rntc | 2023-12-06T18:19:17Z | 4 | 0 | [
"region:us"
]
| null | 2023-12-06T18:19:10Z | ---
dataset_info:
features:
- name: id
dtype: string
- name: tokens
sequence: string
- name: type
dtype: string
- name: ner_tags
sequence:
class_label:
names:
'0': O
'1': B
'2': I
splits:
- name: train
num_bytes: 52119955
num_examples: 4560
- name: validation
num_bytes: 50451683
num_examples: 4581
- name: test
num_bytes: 52811254
num_examples: 4797
download_size: 19224122
dataset_size: 155382892
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: validation
path: data/validation-*
- split: test
path: data/test-*
---
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|
rntc/blurb_jnlpba_a-tm | rntc | 2023-12-06T19:53:34Z | 4 | 0 | [
"region:us"
]
| null | 2023-12-06T19:53:28Z | ---
dataset_info:
features:
- name: id
dtype: string
- name: tokens
sequence: string
- name: type
dtype: string
- name: ner_tags
sequence:
class_label:
names:
'0': O
'1': B
'2': I
splits:
- name: train
num_bytes: 53054508
num_examples: 18607
- name: validation
num_bytes: 5345872
num_examples: 1939
- name: test
num_bytes: 11932733
num_examples: 4260
download_size: 10220104
dataset_size: 70333113
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: validation
path: data/validation-*
- split: test
path: data/test-*
---
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|
Hjallti/autotrain-data-solar-strike | Hjallti | 2023-12-06T20:04:17Z | 4 | 0 | [
"region:us"
]
| null | 2023-12-06T20:04:14Z | ---
dataset_info:
features:
- name: autotrain_text
dtype: string
- name: autotrain_prompt
dtype: string
- name: autotrain_rejected_text
dtype: string
splits:
- name: train
num_bytes: 123976169
num_examples: 9477
- name: validation
num_bytes: 123976169
num_examples: 9477
download_size: 75554658
dataset_size: 247952338
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: validation
path: data/validation-*
---
# Dataset Card for "autotrain-data-solar-strike"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | [
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|
rntc/blurb_jnlpba_a | rntc | 2023-12-06T21:25:25Z | 4 | 0 | [
"region:us"
]
| null | 2023-12-06T21:25:19Z | ---
dataset_info:
features:
- name: id
dtype: string
- name: tokens
sequence: string
- name: type
dtype: string
- name: ner_tags
sequence:
class_label:
names:
'0': O
'1': B
'2': I
splits:
- name: train
num_bytes: 91400984
num_examples: 18607
- name: validation
num_bytes: 10699720
num_examples: 1939
- name: test
num_bytes: 22420343
num_examples: 4260
download_size: 18232141
dataset_size: 124521047
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: validation
path: data/validation-*
- split: test
path: data/test-*
---
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|
natetsang/fishgpt-parsed | natetsang | 2023-12-06T23:21:04Z | 4 | 0 | [
"region:us"
]
| null | 2023-12-06T23:20:27Z | ---
dataset_info:
features:
- name: game
dtype: string
- name: annotation
dtype: string
splits:
- name: train
num_bytes: 103181780
num_examples: 70396
download_size: 15326150
dataset_size: 103181780
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
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|
rntc/blurb_ncbi_disease_a-tm | rntc | 2023-12-07T00:03:27Z | 4 | 0 | [
"region:us"
]
| null | 2023-12-07T00:03:23Z | ---
dataset_info:
features:
- name: id
dtype: string
- name: tokens
sequence: string
- name: type
dtype: string
- name: ner_tags
sequence:
class_label:
names:
'0': O
'1': B
'2': I
splits:
- name: train
num_bytes: 15516678
num_examples: 5424
- name: validation
num_bytes: 2429969
num_examples: 923
- name: test
num_bytes: 2836237
num_examples: 940
download_size: 3010090
dataset_size: 20782884
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: validation
path: data/validation-*
- split: test
path: data/test-*
---
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|
rntc/blurb_ncbi_disease_a | rntc | 2023-12-07T00:23:31Z | 4 | 0 | [
"region:us"
]
| null | 2023-12-07T00:23:26Z | ---
dataset_info:
features:
- name: id
dtype: string
- name: tokens
sequence: string
- name: type
dtype: string
- name: ner_tags
sequence:
class_label:
names:
'0': O
'1': B
'2': I
splits:
- name: train
num_bytes: 36925119
num_examples: 5424
- name: validation
num_bytes: 6271337
num_examples: 923
- name: test
num_bytes: 6186130
num_examples: 940
download_size: 7147023
dataset_size: 49382586
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: validation
path: data/validation-*
- split: test
path: data/test-*
---
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|
rntc/blurb_bc2gm_a-tm | rntc | 2023-12-07T01:14:29Z | 4 | 0 | [
"region:us"
]
| null | 2023-12-07T01:14:23Z | ---
dataset_info:
features:
- name: id
dtype: string
- name: tokens
sequence: string
- name: type
dtype: string
- name: ner_tags
sequence:
class_label:
names:
'0': O
'1': B
'2': I
splits:
- name: train
num_bytes: 34066602
num_examples: 12574
- name: validation
num_bytes: 6752317
num_examples: 2519
- name: test
num_bytes: 13374135
num_examples: 5038
download_size: 9237976
dataset_size: 54193054
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: validation
path: data/validation-*
- split: test
path: data/test-*
---
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|
williamberman/wikiart | williamberman | 2023-12-07T06:14:03Z | 4 | 0 | [
"task_categories:image-classification",
"task_categories:text-to-image",
"task_categories:image-to-text",
"size_categories:10K<n<100K",
"license:unknown",
"art",
"region:us"
]
| [
"image-classification",
"text-to-image",
"image-to-text"
]
| 2023-12-07T06:01:30Z | ---
license: unknown
license_details: Data files © Original Authors
size_categories:
- 10K<n<100K
task_categories:
- image-classification
- text-to-image
- image-to-text
tags:
- art
---
## Dataset Description
- **Homepage:** https://www.wikiart.org/
### Dataset Summary
Dataset containing 81,444 pieces of visual art from various artists, taken from WikiArt.org,
along with class labels for each image :
* "artist" : 129 artist classes, including a "Unknown Artist" class
* "genre" : 11 genre classes, including a "Unknown Genre" class
* "style" : 27 style classes
On WikiArt.org, the description for the "Artworks by Genre" page reads :
A genre system divides artworks according to depicted themes and objects. A classical hierarchy of genres was developed in European culture by the 17th century. It ranked genres in high – history painting and portrait, - and low – genre painting, landscape and still life. This hierarchy was based on the notion of man as the measure of all things. Landscape and still life were the lowest because they did not involve human subject matter. History was highest because it dealt with the noblest events of humanity. Genre system is not so much relevant for a contemporary art; there are just two genre definitions that are usually applied to it: abstract or figurative.
The "Artworks by Style" page reads :
A style of an artwork refers to its distinctive visual elements, techniques and methods. It usually corresponds with an art movement or a school (group) that its author is associated with.
## Dataset Structure
* "image" : image
* "artist" : 129 artist classes, including a "Unknown Artist" class
* "genre" : 11 genre classes, including a "Unknown Genre" class
* "style" : 27 style classes
### Source Data
Files taken from this [archive](https://archive.org/download/wikiart-dataset/wikiart.tar.gz), curated from the [WikiArt website](https://www.wikiart.org/).
## Additional Information
Note:
* The WikiArt dataset can be used only for non-commercial research purpose.
* The images in the WikiArt dataset were obtained from WikiArt.org.
* The authors are neither responsible for the content nor the meaning of these images.
By using the WikiArt dataset, you agree to obey the terms and conditions of WikiArt.org.
### Contributions
[`gigant`](https://huggingface.co/gigant) added this dataset to the hub. | [
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|
cne1985/mini-platypus | cne1985 | 2023-12-07T11:49:01Z | 4 | 0 | [
"region:us"
]
| null | 2023-12-07T11:48:59Z | ---
dataset_info:
features:
- name: instruction
dtype: string
- name: output
dtype: string
splits:
- name: train
num_bytes: 4186564
num_examples: 1000
download_size: 2245924
dataset_size: 4186564
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
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|
rntc/blurb_bc5disease_a-0-tm | rntc | 2023-12-07T15:29:18Z | 4 | 0 | [
"region:us"
]
| null | 2023-12-07T15:29:14Z | ---
dataset_info:
features:
- name: id
dtype: string
- name: tokens
sequence: string
- name: type
dtype: string
- name: ner_tags
sequence:
class_label:
names:
'0': O
'1': B
'2': I
splits:
- name: train
num_bytes: 16267137
num_examples: 4560
- name: validation
num_bytes: 15854894
num_examples: 4581
- name: test
num_bytes: 16855267
num_examples: 4797
download_size: 6927880
dataset_size: 48977298
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: validation
path: data/validation-*
- split: test
path: data/test-*
---
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|
rntc/blurb_bc5disease_a-0 | rntc | 2023-12-07T16:34:54Z | 4 | 0 | [
"region:us"
]
| null | 2023-12-07T16:34:46Z | ---
dataset_info:
features:
- name: id
dtype: string
- name: tokens
sequence: string
- name: type
dtype: string
- name: ner_tags
sequence:
class_label:
names:
'0': O
'1': B
'2': I
splits:
- name: train
num_bytes: 52115395
num_examples: 4560
- name: validation
num_bytes: 50447102
num_examples: 4581
- name: test
num_bytes: 52806457
num_examples: 4797
download_size: 19169646
dataset_size: 155368954
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: validation
path: data/validation-*
- split: test
path: data/test-*
---
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|
rntc/blurb_bc5chem_a-0-tm | rntc | 2023-12-07T18:23:47Z | 4 | 0 | [
"region:us"
]
| null | 2023-12-07T18:23:42Z | ---
dataset_info:
features:
- name: id
dtype: string
- name: tokens
sequence: string
- name: type
dtype: string
- name: ner_tags
sequence:
class_label:
names:
'0': O
'1': B
'2': I
splits:
- name: train
num_bytes: 12559349
num_examples: 4560
- name: validation
num_bytes: 13337850
num_examples: 4581
- name: test
num_bytes: 12530047
num_examples: 4797
download_size: 5462479
dataset_size: 38427246
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: validation
path: data/validation-*
- split: test
path: data/test-*
---
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|
JayChauhan99/llama2-political-guanaco | JayChauhan99 | 2023-12-07T19:23:00Z | 4 | 0 | [
"region:us"
]
| null | 2023-12-07T19:08:20Z | ---
dataset_info:
features:
- name: text
dtype: string
splits:
- name: train
num_bytes: 6125821
num_examples: 4676
download_size: 3395419
dataset_size: 6125821
---
# Dataset Card for "llama2-political-guanaco"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | [
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|
rntc/blurb_bc5chem_a-0 | rntc | 2023-12-07T19:19:05Z | 4 | 0 | [
"region:us"
]
| null | 2023-12-07T19:18:58Z | ---
dataset_info:
features:
- name: id
dtype: string
- name: tokens
sequence: string
- name: type
dtype: string
- name: ner_tags
sequence:
class_label:
names:
'0': O
'1': B
'2': I
splits:
- name: train
num_bytes: 52119955
num_examples: 4560
- name: validation
num_bytes: 50451683
num_examples: 4581
- name: test
num_bytes: 52811254
num_examples: 4797
download_size: 19175076
dataset_size: 155382892
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: validation
path: data/validation-*
- split: test
path: data/test-*
---
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|
rntc/blurb_jnlpba_a-0-tm | rntc | 2023-12-07T21:13:05Z | 4 | 0 | [
"region:us"
]
| null | 2023-12-07T21:13:00Z | ---
dataset_info:
features:
- name: id
dtype: string
- name: tokens
sequence: string
- name: type
dtype: string
- name: ner_tags
sequence:
class_label:
names:
'0': O
'1': B
'2': I
splits:
- name: train
num_bytes: 53054955
num_examples: 18607
- name: validation
num_bytes: 5346325
num_examples: 1939
- name: test
num_bytes: 11932733
num_examples: 4260
download_size: 10155008
dataset_size: 70334013
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: validation
path: data/validation-*
- split: test
path: data/test-*
---
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|
carlosemorais/TranslateV0-Json | carlosemorais | 2023-12-07T22:29:44Z | 4 | 0 | [
"license:apache-2.0",
"region:us"
]
| null | 2023-12-07T22:17:36Z | ---
license: apache-2.0
---
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|
rntc/blurb_jnlpba_a-0 | rntc | 2023-12-07T22:55:40Z | 4 | 0 | [
"region:us"
]
| null | 2023-12-07T22:55:34Z | ---
dataset_info:
features:
- name: id
dtype: string
- name: tokens
sequence: string
- name: type
dtype: string
- name: ner_tags
sequence:
class_label:
names:
'0': O
'1': B
'2': I
splits:
- name: train
num_bytes: 91397094
num_examples: 18607
- name: validation
num_bytes: 10698985
num_examples: 1939
- name: test
num_bytes: 22420343
num_examples: 4260
download_size: 18171816
dataset_size: 124516422
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: validation
path: data/validation-*
- split: test
path: data/test-*
---
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|
ekolasky/SciREXForCustomLEDConsol | ekolasky | 2023-12-08T00:29:35Z | 4 | 0 | [
"region:us"
]
| null | 2023-12-08T00:29:29Z | ---
dataset_info:
features:
- name: input_ids
sequence: int32
- name: result_labels
sequence: int64
- name: grouping_vector
sequence:
sequence: int64
- name: attention_mask
sequence: int8
splits:
- name: train
num_bytes: 22188308
num_examples: 260
- name: validation
num_bytes: 3629858
num_examples: 44
download_size: 4000584
dataset_size: 25818166
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: validation
path: data/validation-*
---
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|
rntc/blurb_ncbi_disease_a-0-tm | rntc | 2023-12-08T01:49:01Z | 4 | 0 | [
"region:us"
]
| null | 2023-12-08T01:48:57Z | ---
dataset_info:
features:
- name: id
dtype: string
- name: tokens
sequence: string
- name: type
dtype: string
- name: ner_tags
sequence:
class_label:
names:
'0': O
'1': B
'2': I
splits:
- name: train
num_bytes: 15516946
num_examples: 5424
- name: validation
num_bytes: 2429969
num_examples: 923
- name: test
num_bytes: 2836237
num_examples: 940
download_size: 2985289
dataset_size: 20783152
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: validation
path: data/validation-*
- split: test
path: data/test-*
---
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|
rntc/blurb_ncbi_disease_a-0 | rntc | 2023-12-08T02:09:46Z | 4 | 0 | [
"region:us"
]
| null | 2023-12-08T02:09:41Z | ---
dataset_info:
features:
- name: id
dtype: string
- name: tokens
sequence: string
- name: type
dtype: string
- name: ner_tags
sequence:
class_label:
names:
'0': O
'1': B
'2': I
splits:
- name: train
num_bytes: 36925119
num_examples: 5424
- name: validation
num_bytes: 6271337
num_examples: 923
- name: test
num_bytes: 6186130
num_examples: 940
download_size: 7120688
dataset_size: 49382586
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: validation
path: data/validation-*
- split: test
path: data/test-*
---
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|
rntc/blurb_bc2gm_a-0-tm | rntc | 2023-12-08T03:05:12Z | 4 | 0 | [
"region:us"
]
| null | 2023-12-08T03:05:08Z | ---
dataset_info:
features:
- name: id
dtype: string
- name: tokens
sequence: string
- name: type
dtype: string
- name: ner_tags
sequence:
class_label:
names:
'0': O
'1': B
'2': I
splits:
- name: train
num_bytes: 34066605
num_examples: 12574
- name: validation
num_bytes: 6752317
num_examples: 2519
- name: test
num_bytes: 13374141
num_examples: 5038
download_size: 9167736
dataset_size: 54193063
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: validation
path: data/validation-*
- split: test
path: data/test-*
---
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|
mdass/gpt_gen_desc_art_text_logos | mdass | 2023-12-08T20:36:48Z | 4 | 0 | [
"region:us"
]
| null | 2023-12-08T03:09:55Z | ---
dataset_info:
features:
- name: image
dtype: image
- name: description
dtype: string
splits:
- name: train
num_bytes: 3348156.0
num_examples: 100
download_size: 3333705
dataset_size: 3348156.0
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
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|
adamjweintraut/bart-finetuned-eli5_precomputed_best_rouge_eval_2023-12-08_run.csv | adamjweintraut | 2023-12-09T01:16:58Z | 4 | 0 | [
"region:us"
]
| null | 2023-12-08T03:49:00Z | ---
dataset_info:
features:
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dtype: string
- name: question
dtype: string
- name: context
dtype: string
- name: predicted
dtype: string
- name: label
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- name: rougeL_precision_min
dtype: float64
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- name: rougeL_recall_max
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- name: nli_label
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- name: nli_plot_val
dtype: int64
- name: nli_score
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- name: sent_sim
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splits:
- name: train
num_bytes: 15592501
num_examples: 1250
download_size: 9700492
dataset_size: 15592501
configs:
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data_files:
- split: train
path: data/train-*
---
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|
rntc/blurb_bc2gm_a-0 | rntc | 2023-12-08T04:31:34Z | 4 | 0 | [
"region:us"
]
| null | 2023-12-08T04:31:27Z | ---
dataset_info:
features:
- name: id
dtype: string
- name: tokens
sequence: string
- name: type
dtype: string
- name: ner_tags
sequence:
class_label:
names:
'0': O
'1': B
'2': I
splits:
- name: train
num_bytes: 95598848
num_examples: 12574
- name: validation
num_bytes: 18151512
num_examples: 2519
- name: test
num_bytes: 36511145
num_examples: 5038
download_size: 23664751
dataset_size: 150261505
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: validation
path: data/validation-*
- split: test
path: data/test-*
---
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|
sordonia/platypus-templated-flat | sordonia | 2023-12-08T05:26:54Z | 4 | 0 | [
"region:us"
]
| null | 2023-12-08T05:26:51Z | ---
dataset_info:
features:
- name: source
dtype: string
- name: target
dtype: string
- name: task_name
dtype: string
- name: task_source
dtype: string
- name: split
dtype: string
splits:
- name: train
num_bytes: 35031259
num_examples: 24926
download_size: 15986525
dataset_size: 35031259
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
# Dataset Card for "platypus-templated-flat"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | [
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|
abishekcodes/selfqna_reform | abishekcodes | 2023-12-08T09:29:08Z | 4 | 0 | [
"region:us"
]
| null | 2023-12-08T09:29:05Z | ---
dataset_info:
features:
- name: query
dtype: string
- name: abishek
dtype: string
- name: text
dtype: string
splits:
- name: train
num_bytes: 32581632
num_examples: 100000
download_size: 5013971
dataset_size: 32581632
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
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|
nhantruongcse/full_summary-vietnamese-news-token-TFtrain_vit5_large_vietnews | nhantruongcse | 2023-12-08T15:15:50Z | 4 | 0 | [
"region:us"
]
| null | 2023-12-08T15:15:33Z | ---
dataset_info:
features:
- name: input_ids
sequence: int32
- name: attention_mask
sequence: int8
- name: labels
sequence: int64
splits:
- name: train
num_bytes: 60102445
num_examples: 16458
download_size: 21354914
dataset_size: 60102445
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
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|
Seongill/TriviaQA_conflict_5_half_small | Seongill | 2023-12-09T06:06:52Z | 4 | 0 | [
"region:us"
]
| null | 2023-12-09T06:06:48Z | ---
dataset_info:
features:
- name: question
dtype: string
- name: answers
sequence: string
- name: substitute
dtype: string
- name: ctxs
list:
- name: hasanswer
dtype: bool
- name: id
dtype: string
- name: score
dtype: float64
- name: text
dtype: string
- name: title
dtype: string
- name: is_conflict
dtype: bool
- name: num_replace
dtype: int64
- name: num_answer
dtype: int64
splits:
- name: train
num_bytes: 13753993
num_examples: 3771
download_size: 8347170
dataset_size: 13753993
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
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|
arnabdhar/wikiner-multilingual | arnabdhar | 2023-12-09T07:54:23Z | 4 | 0 | [
"region:us"
]
| null | 2023-12-09T07:46:06Z | ---
dataset_info:
features:
- name: tokens
sequence: string
- name: tags
sequence: string
splits:
- name: train
num_bytes: 795273111
num_examples: 2506842
download_size: 239559155
dataset_size: 795273111
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
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|
anthony-wss/librispeech_asr-audiodec_academicodec_hifi_24k_320d | anthony-wss | 2023-12-09T08:07:06Z | 4 | 0 | [
"region:us"
]
| null | 2023-12-09T08:04:53Z | ---
configs:
- config_name: default
data_files:
- split: train.clean.360
path: data/train.clean.360-*
- split: train.other.500
path: data/train.other.500-*
dataset_info:
features:
- name: text
dtype: string
- name: id
dtype: string
- name: unit
sequence:
sequence: int64
splits:
- name: train.clean.360
num_bytes: 2116756660
num_examples: 104014
- name: train.other.500
num_bytes: 2891949041
num_examples: 148688
download_size: 804477736
dataset_size: 5008705701
---
# Dataset Card for "librispeech_asr-audiodec_academicodec_hifi_24k_320d"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | [
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|
rthatha/GLDv2-All-Caption-Monza | rthatha | 2023-12-09T17:02:16Z | 4 | 0 | [
"region:us"
]
| null | 2023-12-09T11:45:46Z | ---
dataset_info:
features:
- name: image
dtype: image
- name: text
dtype: string
splits:
- name: train
num_bytes: 109011903.0
num_examples: 203
download_size: 108833302
dataset_size: 109011903.0
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
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|
rthatha/GLDv2-50-Caption-Filename | rthatha | 2023-12-09T17:05:11Z | 4 | 0 | [
"region:us"
]
| null | 2023-12-09T13:01:21Z | ---
dataset_info:
features:
- name: image
dtype: image
- name: text
dtype: string
splits:
- name: train
num_bytes: 24938103.0
num_examples: 50
download_size: 24882916
dataset_size: 24938103.0
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
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|
alancooney/sae-roneneldan-TinyStories-tokenizer-gpt2 | alancooney | 2023-12-09T17:37:38Z | 4 | 0 | [
"license:mit",
"region:us"
]
| null | 2023-12-09T13:48:19Z | ---
license: mit
dataset_info:
features:
- name: input_ids
sequence: int32
splits:
- name: train
num_bytes: 539700.0
num_examples: 525
download_size: 344173
dataset_size: 539700.0
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
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|
lhallee/ccds_mouse_512 | lhallee | 2023-12-09T19:08:06Z | 4 | 0 | [
"region:us"
]
| null | 2023-12-09T19:08:05Z | ---
dataset_info:
features:
- name: ID
dtype: string
- name: species
dtype: string
- name: CDS
dtype: string
- name: AA
dtype: string
splits:
- name: train
num_bytes: 10746756
num_examples: 16628
download_size: 9922040
dataset_size: 10746756
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
# Dataset Card for "ccds_mouse_512.csv"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | [
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|
silk-road/ChatHaruhi-Waifu | silk-road | 2023-12-10T01:25:05Z | 4 | 0 | [
"task_categories:text-generation",
"size_categories:n<1K",
"language:zh",
"license:cc-by-4.0",
"region:us"
]
| [
"text-generation"
]
| 2023-12-10T01:00:10Z | ---
license: cc-by-4.0
task_categories:
- text-generation
language:
- zh
size_categories:
- n<1K
---
本数据集是为了部分不适合直接显示的角色进行hugging face存储。text部分做了简单的编码加密
使用方法
载入函数
```python
from transformers import AutoTokenizer, AutoModel, AutoModelForCausalLM
tokenizer = AutoTokenizer.from_pretrained("silk-road/Chat-Haruhi_qwen_1_8", trust_remote_code=True)
model = AutoModelForCausalLM.from_pretrained("silk-road/Chat-Haruhi_qwen_1_8", trust_remote_code=True).half().cuda()
model = model.eval()
```
具体看https://github.com/LC1332/Chat-Haruhi-Suzumiya/blob/main/notebook/ChatHaruhi_x_Qwen1_8B.ipynb 这个notebook
```python
from ChatHaruhi import ChatHaruhi
chatbot = ChatHaruhi( role_from_hf = 'silk-road/ChatHaruhi-Waifu/女贤者', max_len_story = 1000 )
prompt = chatbot.generate_prompt(role='男子', text = '你已经不能动了')
response, _ = model.chat(tokenizer, prompt, history=[])
print(response)
chatbot.append_response(response)
#模型输出:
#女贤者:「啊啊啊，不可以！」
```
项目链接https://github.com/LC1332/Chat-Haruhi-Suzumiya
欢迎提供新的语料 | [
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-0.07765384018421173,
-0.08331933617591858,
-0.3786929249763489,
-0.6551363468170166
]
|
noobmaster29/Verified-Camel-zh | noobmaster29 | 2023-12-10T03:57:00Z | 4 | 1 | [
"task_categories:conversational",
"task_categories:question-answering",
"task_categories:text-generation",
"size_categories:n<1K",
"language:en",
"language:zh",
"license:apache-2.0",
"Physics",
"Chemistry",
"Math",
"Biology",
"Culture",
"Logic",
"region:us"
]
| [
"conversational",
"question-answering",
"text-generation"
]
| 2023-12-10T03:40:28Z | ---
license: apache-2.0
task_categories:
- conversational
- question-answering
- text-generation
language:
- en
- zh
tags:
- Physics
- Chemistry
- Math
- Biology
- Culture
- Logic
size_categories:
- n<1K
---
This is a direct Chinese translation using GPT4 of the Verified-Camel dataset. I hope you find it useful.
https://huggingface.co/datasets/LDJnr/Verified-Camel
Citation:
```
@article{daniele2023amplify-instruct,
title={Amplify-Instruct: Synthetically Generated Diverse Multi-turn Conversations for Effecient LLM Training.},
author={Daniele, Luigi and Suphavadeeprasit},
journal={arXiv preprint arXiv:(comming soon)},
year={2023}
}
``` | [
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|
Alejandro-FA/ma_ai_text_data | Alejandro-FA | 2023-12-10T17:14:00Z | 4 | 0 | [
"region:us"
]
| null | 2023-12-10T16:44:15Z | ---
dataset_info:
- config_name: eda_embedding_sample
features:
- name: text
dtype: string
- name: label
dtype: int64
- name: words
sequence: string
- name: word_count
dtype: int64
- name: avg_word_len
dtype: float64
- name: __index_level_0__
dtype: int64
- name: embedding
sequence: float64
- name: embedding_tsne
dtype: float32
- name: embedding_tsne_1
dtype: float32
splits:
- name: train
num_bytes: 118500238
num_examples: 10000
download_size: 85299744
dataset_size: 118500238
- config_name: training
features:
- name: text
dtype: string
- name: label
dtype: int64
- name: input_ids
sequence: int32
- name: attention_mask
sequence: int8
splits:
- name: train
num_bytes: 1485162830
num_examples: 346977
- name: validation
num_bytes: 370060226
num_examples: 86587
download_size: 1712213816
dataset_size: 1855223056
configs:
- config_name: eda_embedding_sample
data_files:
- split: train
path: eda_embedding_sample/train-*
- config_name: training
data_files:
- split: train
path: training/train-*
- split: validation
path: training/validation-*
---
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|
Erynan/4_ethics_100 | Erynan | 2023-12-10T19:33:55Z | 4 | 0 | [
"region:us"
]
| null | 2023-12-10T19:33:52Z | ---
dataset_info:
features:
- name: text
dtype: string
splits:
- name: train
num_bytes: 89373
num_examples: 100
download_size: 22588
dataset_size: 89373
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
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|
bjoernp/slimorca-filtered | bjoernp | 2023-12-10T23:59:10Z | 4 | 0 | [
"region:us"
]
| null | 2023-12-10T23:57:55Z | ---
dataset_info:
features:
- name: conversations
list:
- name: from
dtype: string
- name: value
dtype: string
splits:
- name: train
num_bytes: 600508500.8642442
num_examples: 363489
download_size: 303417277
dataset_size: 600508500.8642442
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
# Dataset Card for "slimorca-filtered"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | [
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|
SF-Corpus/EF_Chapters_Only | SF-Corpus | 2023-12-05T23:31:52Z | 3 | 0 | [
"language:en",
"region:us"
]
| null | 2023-05-23T17:29:27Z | ---
language:
- en
pretty_name: sf-nexus-ef-chapters-and-chunks
---
# Dataset Card for SF Nexus Extracted Features: Chapters Only
## Dataset Description
- **Homepage: https://sfnexus.io/**
- **Repository: https://github.com/SF-Nexus/extracted-features-notebooks**
- **Point of Contact: Alex Wermer-Colan**
### Dataset Summary
The SF Nexus Extracted Features Chapters and Chunks dataset contains text and metadata from a subset of 306 texts from our corpus of 403 mid/late-twentieth century science fiction books, originally digitized from Temple University Libraries' Paskow Science Fiction Collection.
After digitization, the books were cleaned using Abbyy FineReader.
Because this is a collection of copyrighted fiction, the books have been disaggregated.
To improve performance of topic modeling and other nlp tasks, each book has also been split into chapters. This dataset includes the subset of our corpus in which chapters were present.
Each row of this dataset contains one "chapter" of text as well as metadata about that text's title, author and publication.
### About the SF Nexus Corpus
The Paskow Science Fiction collection contains primarily materials from post-WWII, especially mass-market works of the New Wave era (often dated to 1964-1980).
The digitized texts have also been ingested into HathiTrust's repository for preservation and data curation; they are now viewable on HathiTrust's [Temple page](https://babel.hathitrust.org/cgi/ls?field1=ocr;q1=%2A;a=srchls;facet=htsource%3A%22Temple%20University%22;pn=4) for non-consumptive research.
For more information on the project to digitize and curate a corpus of "New Wave" science fiction, see Alex Wermer-Colan's post on the Temple University Scholars Studio blog, ["Building a New Wave Science Fiction Corpus."](https://sites.temple.edu/tudsc/2017/12/20/building-new-wave-science-fiction-corpus/).
### Languages
English
## Dataset Structure
This dataset contains disaggregated "chunks" of text from mid-twentieth century science fiction books and associated metadata. For example:
```
{'Unnamed': 1,
'Title': 'THEEARTHISNEAR',
'Author': 'PESEK',
'Pub Year': '1973',
'Chapter': '1',
'Text': '. . . A But Cadiz. Cape Cape Elijah, Elmo’s Gone Horn, I I Islands, Life, Lisbon, No, Or Palos Prophet So So St The Then Those Verde What Wonderful, a a a a a a a a about above against ago ago! all all along and and and and and and and and and and are aroused as as at at away becalmed beyond beyond beyond black bobbing bows breath breath, breeze broke broke. burning but but but calm came chewed continent continent, corks. crashing dark days days days did down drive dry else, end endless enough even ever far fire fire, flowed foaming for for fresh from from from gave got grew had—a hardly horizon horizon, horizon, hot hungry in in in in in in in it it it it, its itself knew. know lands lay leather, licking life life! life-giving like like little lives. long long longed loose madness masts men middle mist more motionless mouths, nameless nameless nameless names. night. no noon noonday not nothing ocean ocean, ocean, oceans of of of of of of of of of on on on one or our our our our our our our our our out over perhaps price quicksilver remember rigging, roared, roaring, rocks. rose rousing sails sails. salty say? sea sea sea sea shining slack slight smelling some somewhere somewhere spices spices. stayed storm strange strips struck sun. swell swollen tackle tasted teeth terrible, than that that the the the the the the the the the the the the the the the the the the the the the the the the the the their them them, then then then there thin thing, thirst thirst thirst those those though throats. time to to to to tongues tune unknown unknown up, us us wanted was was was was was water water water, water, waves way we we we we weeks, when when when while whistled who who wind wind, without yardarm yards.'
'Clean Text': ' a but cadiz cape cape elijah elmo s gone horn i i islands life lisbon no or palos prophet so so st the then those verde what wonderful a a a a a a a a about above against ago ago all all along and and and and and and and and and and are aroused as as at at away becalmed beyond beyond beyond black bobbing bows breath breath breeze broke broke burning but but but calm came chewed continent continent corks crashing dark days days days did down drive dry else end endless enough even ever far fire fire flowed foaming for for fresh from from from gave got grew had a hardly horizon horizon horizon hot hungry in in in in in in in it it it it its itself knew know lands lay leather licking life life life giving like like little lives long long longed loose madness masts men middle mist more motionless mouths nameless nameless nameless names night no noon noonday not nothing ocean ocean ocean oceans of of of of of of of of of on on on one or our our our our our our our our our out over perhaps price quicksilver remember rigging roared roaring rocks rose rousing sails sails salty say sea sea sea sea shining slack slight smelling some somewhere somewhere spices spices stayed storm strange strips struck sun swell swollen tackle tasted teeth terrible than that that the the the the the the the the the the the the the the the the the the the the the the the the the the their them them then then then there thin thing thirst thirst thirst those those though throats time to to to to tongues tune unknown unknown up us us wanted was was was was was water water water water waves way we we we we weeks when when when while whistled who who wind wind without yardarm yards'
'Chapter Word Count': '343',
}
```
### Data Fields
- **Unnamed: int** A unique id for the text
- **Title: str** The title of the book from which the text has been extracted
- **Author: str** The author of the book from which the text has been extracted
- **Pub Year: str** The date on which the book was published (first printing)
- **Chapter: int** The chapter in the book from which the text has been extracted
- **Text: str** The chunk of text extracted from the book
- **Clean Text: str** The chunk of text extracted from the book with lowercasing performed and punctuation, numbers and extra spaces removed
- **Chapter Word Count: int** The number of words the chunk of text contains
To Be Added:
- **summary: str** A brief summary of the book, if extracted from library records
- **pub_date: int** The date on which the book was published (first printing)
- **pub_city: int** The city in which the book was published (first printing)
- **lcgft_category: str** Information from the Library of Congress Genre/Form Terms for Library and Archival Materials, if known
### Loading the Dataset
Use the following code to load the dataset in a Python environment (note: does not work with repo set to private)
```
from datasets import load_dataset
# If the dataset is gated/private, make sure you have run huggingface-cli login
dataset = load_dataset("SF-Corpus/EF_Chapters_Only")
```
Or just clone the dataset repo
```
git lfs install
git clone https://huggingface.co/datasets/SF-Corpus/EF_Chapters_Only
# if you want to clone without large files – just their pointers
# prepend your git clone with the following env var:
GIT_LFS_SKIP_SMUDGE=1
```
## Dataset Creation
### Curation Rationale
For an overview of our approach to data curation of literary texts, see Alex Wermer-Colan’s and James Kopaczewski’s article, “The New Wave of Digital Collections: Speculating on the Future of Library Curation”(2022)
### Source Data
The Loretta C. Duckworth Scholars Studio has partnered with Temple University Libraries’ Special Collections Research Center (SCRC) and Digital Library Initiatives (DLI) to build a digitized corpus of copyrighted science fiction literature. Besides its voluminous Urban Archives, the SCRC also houses a significant collection of science-fiction literature. The Paskow Science Fiction Collection was originally established in 1972, when Temple acquired 5,000 science fiction paperbacks from a Temple alumnus, the late David C. Paskow. Subsequent donations, including troves of fanzines and the papers of such sci-fi writers as John Varley and Stanley G. Weinbaum, expanded the collection over the last few decades, both in size and in the range of genres. SCRC staff and undergraduate student workers recently performed the usual comparison of gift titles against cataloged books, removing science fiction items that were exact duplicates of existing holdings. A refocusing of the SCRC’s collection development policy for science fiction de-emphasized fantasy and horror titles, so some titles in those genres were removed as well.
## Considerations for Using the Data
This data card only exhibits extracted features for copyrighted fiction; no copyrighted work is being made available for consumption. These digitized files are made accessible for purposes of education and research. Temple University Libraries have given attribution to rights holders when possible. If you hold the rights to materials in our digitized collections that are unattributed, please let us know so that we may maintain accurate information about these materials.
If you are a rights holder and are concerned that you have found material on this website for which you have not granted permission (or is not covered by a copyright exception under US copyright laws), you may request the removal of the material from our site by writing to [email protected].
For more information on non-consumptive research, check out HathiTrust Research Center’s Non-Consumptive Use Research Policy.
## Additional Information
### Dataset Curators
For a full list of conributors to the SF Nexus project, visit [https://sfnexus.io/people/](https://sfnexus.io/people/). | [
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|
Viktor03/ValeriyBarinov | Viktor03 | 2023-12-06T12:21:35Z | 3 | 0 | [
"license:openrail",
"region:us"
]
| null | 2023-08-21T06:52:39Z | ---
license: openrail
---
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|
Tngarg/Slovene_english | Tngarg | 2023-12-08T18:19:28Z | 3 | 0 | [
"region:us"
]
| null | 2023-10-16T11:22:01Z | ---
dataset_info:
features:
- name: content
dtype: string
- name: sentiment
dtype: string
- name: __index_level_0__
dtype: int64
splits:
- name: train
num_bytes: 1887281
num_examples: 17479
download_size: 1288565
dataset_size: 1887281
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
# Dataset Card for "slovene_test"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | [
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|
yongchanskii/youtube-data-various-domain | yongchanskii | 2023-12-06T15:07:05Z | 3 | 1 | [
"region:us"
]
| null | 2023-10-19T19:07:02Z | ---
dataset_info:
features:
- name: source
dtype: string
- name: channelName
dtype: string
- name: category
dtype: string
- name: title
dtype: string
- name: videoId
dtype: string
- name: domainTag
dtype: string
- name: audio
dtype:
audio:
sampling_rate: 16000
- name: transcriptionPath
dtype: string
- name: start
dtype: float64
- name: end
dtype: float64
- name: WER
dtype: float64
- name: CER
dtype: float64
- name: referenceText
dtype: string
- name: hypotheseText
dtype: string
- name: referenceTextLength
dtype: int64
- name: hypotheseTextLength
dtype: int64
splits:
- name: train
num_bytes: 559381442.864
num_examples: 2288
- name: test
num_bytes: 137840916.0
num_examples: 572
download_size: 691274587
dataset_size: 697222358.864
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: test
path: data/test-*
---
# Dataset Card for "youtube-data-various-domain"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | [
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0.07583624124526978,
0.7319824695587158,
-0.0031481506302952766,
0.31589454412460327,
0.1385020911693573,
-0.21707522869110107,
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]
|
yuyijiong/Long-Instruction-Chinese | yuyijiong | 2023-12-05T07:56:09Z | 3 | 7 | [
"task_categories:text-generation",
"task_categories:text-classification",
"task_categories:translation",
"task_categories:summarization",
"task_categories:conversational",
"size_categories:10K<n<100K",
"language:zh",
"language:en",
"region:us"
]
| [
"text-generation",
"text-classification",
"translation",
"summarization",
"conversational"
]
| 2023-10-21T09:34:43Z | ---
task_categories:
- text-generation
- text-classification
- translation
- summarization
- conversational
language:
- zh
- en
size_categories:
- 10K<n<100K
---
# 长文本指令微调数据集合
此页面是各个数据集的链接集合。也可以直接点击我的个人主页查看所有数据集。
# 中文
1. [图书总结](https://huggingface.co/datasets/yuyijiong/Book_Summary_Chinese)
2. [论文摘要 ](https://huggingface.co/datasets/yuyijiong/Chinese_Paper_Abstract)
涉及到知网数据，受限访问。
3. [论文问答](https://huggingface.co/datasets/yuyijiong/Chinese_Paper_QA)
涉及到知网数据，受限访问。
4. [多文档问答（检索）](https://huggingface.co/datasets/yuyijiong/Multi-Doc-QA-Chinese)
# 英文
1. [多文档问答（检索）](https://huggingface.co/datasets/yuyijiong/Multi-Doc-QA-CommonCrawl)
# 中英
1. [长论文多任务](https://huggingface.co/datasets/yuyijiong/LongPaper_multitask)
2. [从ShareGPT中筛选的长对话（中英）](https://huggingface.co/datasets/yuyijiong/Sharegpt-long-conversation)
3. 预训练长文本语料库（中英）[LongData-Corpus](https://huggingface.co/datasets/yuyijiong/LongData-Corpus) | [
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|
Tamazight-NLP/Pontoon-Translations | Tamazight-NLP | 2023-12-09T15:56:48Z | 3 | 2 | [
"task_categories:translation",
"task_categories:text2text-generation",
"size_categories:10K<n<100K",
"language:ber",
"language:zgh",
"language:kab",
"language:tzm",
"language:en",
"license:mpl-2.0",
"region:us"
]
| [
"translation",
"text2text-generation"
]
| 2023-11-26T22:08:41Z | ---
configs:
- config_name: en-zgh
data_files: "zgh-en.tsv"
- config_name: en-kab
data_files: "kab-en.tsv"
- config_name: en-tzm
data_files: "tzm-en.tsv"
license: mpl-2.0
task_categories:
- translation
- text2text-generation
language:
- ber
- zgh
- kab
- tzm
- en
size_categories:
- 10K<n<100K
pretty_name: Pontoon Translations
---
# Pontoon Translations
This is a dataset containing translations from Mozilla's [Pontoon](https://pontoon.mozilla.org) localization platform for [Standard Moroccan Tamazight](https://pontoon.mozilla.org/zgh/), [Taqbaylit](https://pontoon.mozilla.org/kab/) and [Central Atlas Tamazight](https://pontoon.mozilla.org/tzm/).
Source sentences are in English. | [
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|
ltg/norec | ltg | 2023-12-08T08:34:08Z | 3 | 0 | [
"task_categories:text-classification",
"size_categories:10K<n<100K",
"language:no",
"license:cc",
"region:us"
]
| [
"text-classification"
]
| 2023-11-27T11:51:33Z | ---
language:
- 'no'
license: cc
size_categories:
- 10K<n<100K
pretty_name: NoReC
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: validation
path: data/validation-*
- split: test
path: data/test-*
dataset_info:
language:
- 'no'
license: cc
size_categories:
- 10K<n<100K
pretty_name: NoReC
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: validation
path: data/validation-*
- split: test
path: data/test-*
dataset_info:
features:
- name: id
dtype: string
- name: split
dtype: string
- name: rating
dtype: int64
- name: category
dtype: string
- name: day
dtype: int64
- name: month
dtype: int64
- name: year
dtype: int64
- name: excerpt
dtype: string
- name: language
dtype: string
- name: source
dtype: string
- name: authors
dtype: string
- name: title
dtype: string
- name: url
dtype: string
- name: text
dtype: string
splits:
- name: train
num_bytes: 94334212
num_examples: 34749
- name: validation
num_bytes: 13597517
num_examples: 4348
- name: test
num_bytes: 13787751
num_examples: 4340
download_size: 77286913
dataset_size: 121719480
homepage: https://github.com/ltgoslo/norec
citation: |-
@InProceedings{VelOvrBer18,
author = {Erik Velldal and Lilja {\O}vrelid and
Eivind Alexander Bergem and Cathrine Stadsnes and
Samia Touileb and Fredrik J{\o}rgensen},
title = {{NoReC}: The {N}orwegian {R}eview {C}orpus},
booktitle = {Proceedings of the 11th edition of the
Language Resources and Evaluation Conference},
year = {2018},
address = {Miyazaki, Japan},
pages = {4186--4191}
}
}
task_categories:
- text-classification
---
# NoReC: The Norwegian Review Corpus
This is the official repository for the Norwegian Review Corpus (NoReC), created for the purpose of training and evaluating models for document-level sentiment analysis.
More than 43,000 full-text reviews have been collected from major Norwegian news sources and cover a range of different domains, including literature, movies, video games, restaurants, music and theater, in addition to product reviews across a range of categories. Each review is labeled with a manually assigned score of 1–6, as provided by the rating of the original author. The accompanying [paper](http://www.lrec-conf.org/proceedings/lrec2018/pdf/851.pdf) by Velldal et al. at LREC 2018 describes the (initial release of the) data in more detail.
## Dataset details
- **The columns are:**
`id, split, rating, category, day, month, year, excerpt, language, source, authors, title, url, text` where basic usage has `text` as the input and `rating` as the output.
- **Funding:**
NoReC was created as part of the [SANT](https://www.mn.uio.no/ifi/english/research/projects/sant/) project (Sentiment Analysis for Norwegian Text),
a collaboration between the Language Technology Group (LTG) at the Department of Informatics at the University of Oslo, the Norwegian Broadcasting Corporation (NRK), Schibsted Media Group and Aller Media.
- **Language(s):** Norwegian Bokmål (nb) and Norwegian Nynorsk (nn)
- **License:** [See the license for the NoReC corpus](https://github.com/ltgoslo/norec), copied here for convenience:
The data is distributed under a Creative Commons Attribution-NonCommercial licence (CC BY-NC 4.0), access the full license text here: https://creativecommons.org/licenses/by-nc/4.0/
The licence is motivated by the need to block the possibility of third parties redistributing the orignal reviews for commercial purposes.
Note that **machine learned models**, extracted **lexicons**, **embeddings**, and similar resources that are created on the basis of NoReC are not considered to contain the original data and so **can be freely used also for commercial purposes** despite the non-commercial condition.
- **Dataset Sources**
This verion of the corpus comprises 43,436 review texts extracted from eight different news sources: Dagbladet, VG, Aftenposten, Bergens Tidende, Fædrelandsvennen, Stavanger Aftenblad, DinSide.no and P3.no.
<!-- Provide the basic links for the dataset. -->
- **Repository:** https://github.com/ltgoslo/norec
- **Paper :** [The accompanying paper by Velldal et al. at LREC 2018](http://www.lrec-conf.org/proceedings/lrec2018/pdf/851.pdf) describes the (initial release of the) data in more detail.
## Uses
The dataset is intended for document-level sentiment analysis, to learn to predict the `rating` from the `text`. The field `category` can be considered the "domain" of each text. By filtering in and out `category` values, one may inspect cross-domain performance of a model. The other fields contain metadata preserved from the original version of the dataset, and may be used for further filtering and analyses.
## Source Data
This _2nd release, v.2.1_ of the corpus comprises 43,436 review texts extracted from eight different news sources: Dagbladet (db), VG (vg), Aftenposten (ap), Bergens Tidende (bt), Fædrelandsvennen (fvn), Stavanger Aftenblad (sa), DinSide.no (dinside) and P3.no (p3).
In terms of publishing date the reviews mainly cover the time span 2003–2019, although it also includes a handful of reviews dating back as far as 1998.
# Some statistics
## Distribution over year and publication source
All splits combined
| year | ap | bt | db | dinside | fvn | p3 | sa | vg | Total |
|-------:|-----:|-----:|------------:|----------:|------:|-----:|-----:|-----:|--------:|
| 2003* | 0 | 4 | 0 | 143 | 0 | 25 | 0 | 286 | 458 |
| 2004 | 0 | 44 | 0 | 142 | 0 | 12 | 19 | 984 | 1201 |
| 2005 | 0 | 0 | 0 | 179 | 0 | 6 | 224 | 909 | 1318 |
| 2006 | 0 | 0 | 0 | 240 | 0 | 11 | 294 | 778 | 1323 |
| 2007 | 0 | 0 | 0 | 139 | 0 | 127 | 400 | 725 | 1391 |
| 2008 | 0 | 0 | 0 | 119 | 0 | 216 | 369 | 739 | 1443 |
| 2009 | 0 | 52 | 377 | 163 | 27 | 428 | 259 | 815 | 2121 |
| 2010 | 0 | 100 | 642 | 260 | 156 | 571 | 309 | 769 | 2807 |
| 2011 | 1 | 51 | 592 | 284 | 146 | 652 | 362 | 900 | 2988 |
| 2012 | 2 | 150 | 613 | 257 | 332 | 611 | 561 | 763 | 3289 |
| 2013 | 4 | 160 | 527 | 216 | 213 | 619 | 433 | 1058 | 3230 |
| 2014 | 39 | 291 | 501 | 236 | 357 | 546 | 387 | 1191 | 3548 |
| 2015 | 249 | 235 | 728 | 245 | 456 | 499 | 620 | 849 | 3881 |
| 2016 | 309 | 340 | 809 | 177 | 321 | 439 | 682 | 715 | 3792 |
| 2017 | 649 | 491 | 921 | 248 | 692 | 567 | 822 | 687 | 5077 |
| 2018 | 605 | 470 | 885 | 194 | 466 | 339 | 860 | 492 | 4311 |
| 2019 | 260 | 167 | 95 | 30 | 160 | 36 | 346 | 165 | 1259 |
`2003*`: Including the 31 documents 1998-2002
## Distribution over split and rating
| split | 1 | 2 | 3 | 4 | 5 | 6 | Total |
|:--------|----:|-----:|-----:|------:|------:|-----:|--------:|
| dev | 51 | 225 | 707 | 1409 | 1678 | 278 | 4348 |
| test | 27 | 242 | 706 | 1385 | 1714 | 266 | 4340 |
| train | 379 | 2287 | 6004 | 11304 | 12614 | 2161 | 34749 |
## Distribution over split and category
| split | games | literature | misc | music | products | restaurants | screen | sports | stage | Total |
|:--------|--------:|-------------:|-------:|--------:|-----------:|--------------:|---------:|---------:|--------:|--------:|
| dev | 179 | 539 | 28 | 1445 | 347 | 94 | 1569 | 15 | 132 | 4348 |
| test | 180 | 547 | 24 | 1444 | 345 | 98 | 1579 | 16 | 107 | 4340 |
| train | 1453 | 4337 | 156 | 11777 | 2771 | 745 | 12536 | 118 | 856 | 34749 |
## Citation
```
@InProceedings{VelOvrBer18,
author = {Erik Velldal and Lilja {\O}vrelid and Eivind Alexander Bergem and Cathrine Stadsnes and Samia Touileb and Fredrik J{\o}rgensen},
title = {{NoReC}: The {N}orwegian {R}eview {C}orpus},
booktitle = {Proceedings of the 11th edition of the
Language Resources and Evaluation Conference},
year = {2018},
address = {Miyazaki, Japan},
pages = {4186--4191}
}
```
## Dataset Card Authors
https://huggingface.co/ltg | [
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|
alvarobartt/HelpSteer-AIF | alvarobartt | 2023-12-05T12:22:01Z | 3 | 0 | [
"size_categories:n<1K",
"language:en",
"license:cc-by-4.0",
"distilabel",
"helpsteer",
"ai-feedback",
"preference",
"arxiv:2311.09528",
"region:us"
]
| null | 2023-11-28T11:41:53Z | ---
language:
- en
license: cc-by-4.0
size_categories:
- n<1K
pretty_name: HelpSteer with AIF
dataset_info:
features:
- name: prompt
dtype: string
- name: response
dtype: string
- name: model
dtype: string
- name: correctness
dtype: int64
- name: coherence
dtype: int64
- name: complexity
dtype: int64
- name: verbosity
dtype: int64
- name: helpfulness
dtype: int64
splits:
- name: train
num_bytes: 2832095
num_examples: 1000
download_size: 677100
dataset_size: 2832095
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
tags:
- distilabel
- helpsteer
- ai-feedback
- preference
---
# HelpSteer: Helpfulness SteerLM Dataset
HelpSteer is an open-source Helpfulness Dataset (CC-BY-4.0) that supports aligning models to become more helpful, factually correct and coherent, while being adjustable in terms of the complexity and verbosity of its responses.
[HelpSteer: Multi-attribute Helpfulness Dataset for SteerLM](http://arxiv.org/abs/2311.09528)
## Disclaimer
This is only a subset created with `distilabel` to evaluate the first 1000 rows using AI Feedback (AIF) coming from GPT-4, only created for experimenting / research purposes, please refer to [nvidia/HelpSteer](https://hf.co/nvidia/HelpSteer) if you want more information about the HelpSteer dataset.
## Dataset Description
HelpSteer contains 37120 samples, while this subset only contains the first 1000, each only containing a prompt and a response, even though the same prompt may appear up to 4 times with different responses generated by their in-house LLM of 43B params.
In this case, the annotations of the attributes have been discarded while just keeping the prompt and the response, to generate the annotations using AIF via `distilabel`.
## Attributes
1. **Helpfulness**: Overall helpfulness of the response to the prompt.
2. **Correctness**: Inclusion of all pertinent facts without errors.
3. **Coherence**: Consistency and clarity of expression.
4. **Complexity**: Intellectual depth required to write response (i.e. whether the response can be written by anyone with basic language competency or requires deep domain expertise).
5. **Verbosity**: Amount of detail included in the response, relative to what is asked for in the prompt.
## Source
1. (original) Prompts are collected based on a mixture of template-generated (mainly for prompt involving long reference text) and human generated by Scale AI. These prompts relate to the tasks of Rewrite, Summarization, Classification, Extraction, Closed Question Answering, Open Question Answering, Generation and Brainstorming.
2. (original) Responses are generated by an early version of an inhouse LLM. We generate up to 4 responses per prompts using sample techniques to give diverse yet reasonable responses.
3. (distilabel) Annotations of various attributes were done using OpenAI's GPT-4 via `distilabel`, following the same Likert 5 scale (0-4) that Scale AI used with human annotators, but this time asking GPT-4 to provide those, via AI Feedback (AIF).
## Citation
If you find this dataset useful, make sure to cite the original work, as the prompt and the responses have been reused from them, while only the annotations have been modified.
```bibtex
@misc{wang2023helpsteer,
title={HelpSteer: Multi-attribute Helpfulness Dataset for SteerLM},
author={Zhilin Wang and Yi Dong and Jiaqi Zeng and Virginia Adams and Makesh Narsimhan Sreedhar and Daniel Egert and Olivier Delalleau and Jane Polak Scowcroft and Neel Kant and Aidan Swope and Oleksii Kuchaiev},
year={2023},
eprint={2311.09528},
archivePrefix={arXiv},
primaryClass={cs.CL}
}
``` | [
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|
Devdeshitha/clomistral7b | Devdeshitha | 2023-12-05T18:11:48Z | 3 | 0 | [
"license:mit",
"region:us"
]
| null | 2023-11-30T18:32:34Z | ---
license: mit
--- | [
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|
jahb57/gpt2_embeddings_BATCH_5 | jahb57 | 2023-12-08T23:33:42Z | 3 | 0 | [
"region:us"
]
| null | 2023-12-03T23:23:28Z | ---
dataset_info:
features:
- name: sentence
dtype: string
- name: last_hidden_state
sequence:
sequence: float32
splits:
- name: train
num_bytes: 18223400336
num_examples: 100000
download_size: 18270602271
dataset_size: 18223400336
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
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|
jahb57/gpt2_embeddings_BATCH_7 | jahb57 | 2023-12-09T06:32:11Z | 3 | 0 | [
"region:us"
]
| null | 2023-12-04T00:06:05Z | ---
dataset_info:
features:
- name: sentence
dtype: string
- name: last_hidden_state
sequence:
sequence: float32
splits:
- name: train
num_bytes: 18331067635
num_examples: 100000
download_size: 18378149598
dataset_size: 18331067635
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
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|
jahb57/gpt2_embeddings_BATCH_9 | jahb57 | 2023-12-09T21:24:09Z | 3 | 0 | [
"region:us"
]
| null | 2023-12-04T00:49:52Z | ---
dataset_info:
features:
- name: sentence
dtype: string
- name: last_hidden_state
sequence:
sequence: float32
splits:
- name: train
num_bytes: 18756052974
num_examples: 100000
download_size: 18804550847
dataset_size: 18756052974
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
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|
jahb57/gpt2_embeddings_BATCH_12 | jahb57 | 2023-12-10T22:48:58Z | 3 | 0 | [
"region:us"
]
| null | 2023-12-04T01:55:46Z | ---
dataset_info:
features:
- name: sentence
dtype: string
- name: last_hidden_state
sequence:
sequence: float32
splits:
- name: train
num_bytes: 18564085351
num_examples: 100000
download_size: 18612804961
dataset_size: 18564085351
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
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|
jahb57/bert_embeddings_BATCH_2 | jahb57 | 2023-12-07T22:16:53Z | 3 | 0 | [
"region:us"
]
| null | 2023-12-04T03:36:54Z | ---
dataset_info:
features:
- name: sentence
dtype: string
- name: last_hidden_state
sequence:
sequence: float32
- name: pooler_output
sequence: float32
splits:
- name: train
num_bytes: 19612067644
num_examples: 100000
download_size: 19736597181
dataset_size: 19612067644
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
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|
jahb57/bert_embeddings_BATCH_5 | jahb57 | 2023-12-08T22:06:01Z | 3 | 0 | [
"region:us"
]
| null | 2023-12-04T10:58:46Z | ---
dataset_info:
features:
- name: sentence
dtype: string
- name: last_hidden_state
sequence:
sequence: float32
- name: pooler_output
sequence: float32
splits:
- name: train
num_bytes: 19382437136
num_examples: 100000
download_size: 19503523505
dataset_size: 19382437136
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
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|
jahb57/bert_embeddings_BATCH_6 | jahb57 | 2023-12-09T01:08:07Z | 3 | 0 | [
"region:us"
]
| null | 2023-12-04T11:25:15Z | ---
dataset_info:
features:
- name: sentence
dtype: string
- name: last_hidden_state
sequence:
sequence: float32
- name: pooler_output
sequence: float32
splits:
- name: train
num_bytes: 19533153300
num_examples: 100000
download_size: 19657783184
dataset_size: 19533153300
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
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|
jahb57/bert_embeddings_BATCH_7 | jahb57 | 2023-12-09T05:05:20Z | 3 | 0 | [
"region:us"
]
| null | 2023-12-04T11:46:54Z | ---
dataset_info:
features:
- name: sentence
dtype: string
- name: last_hidden_state
sequence:
sequence: float32
- name: pooler_output
sequence: float32
splits:
- name: train
num_bytes: 19472263635
num_examples: 100000
download_size: 19593248304
dataset_size: 19472263635
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
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|
jahb57/bert_embeddings_BATCH_9 | jahb57 | 2023-12-09T19:43:49Z | 3 | 0 | [
"region:us"
]
| null | 2023-12-04T16:16:45Z | ---
dataset_info:
features:
- name: sentence
dtype: string
- name: last_hidden_state
sequence:
sequence: float32
- name: pooler_output
sequence: float32
splits:
- name: train
num_bytes: 19846648774
num_examples: 100000
download_size: 19970936600
dataset_size: 19846648774
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
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|
Alkemi/xd-violence-small | Alkemi | 2023-12-05T04:51:46Z | 3 | 0 | [
"size_categories:1K<n<10K",
"language:en",
"license:apache-2.0",
"region:us"
]
| null | 2023-12-05T04:13:00Z | ---
license: apache-2.0
language:
- en
size_categories:
- 1K<n<10K
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|
HuggingFaceM4/datikz | HuggingFaceM4 | 2023-12-05T17:04:31Z | 3 | 0 | [
"region:us"
]
| null | 2023-12-05T16:58:32Z | Invalid username or password. | [
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|
fightfei/advices_1k | fightfei | 2023-12-05T22:51:15Z | 3 | 0 | [
"region:us"
]
| null | 2023-12-05T22:50:46Z | ---
dataset_info:
features:
- name: text
dtype: string
splits:
- name: train
num_bytes: 177954.0
num_examples: 798
- name: test
num_bytes: 44600.0
num_examples: 200
download_size: 21325
dataset_size: 222554.0
---
# Dataset Card for "advices_1k"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | [
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|
cpatel321/Adobe_behaviour_image_sample | cpatel321 | 2023-12-06T00:07:56Z | 3 | 0 | [
"region:us"
]
| null | 2023-12-05T23:04:41Z | ---
dataset_info:
features:
- name: image
dtype: image
- name: text
dtype: string
splits:
- name: train
num_bytes: 95065758
num_examples: 1398
dataset_name: 'adobe_behaviour_image_sample'
---
# Dataset Card for "adobe-behaviour-simulation-task-dataset's-images-and-captions"
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|
ChaiML/20231130_chai_prize_reward_model_data | ChaiML | 2023-12-06T01:53:54Z | 3 | 1 | [
"region:us"
]
| null | 2023-12-06T01:53:50Z | ---
dataset_info:
features:
- name: input_text
dtype: string
- name: labels
dtype: int64
splits:
- name: train
num_bytes: 71814173
num_examples: 39576
download_size: 38065021
dataset_size: 71814173
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
# Dataset Card for "20231130_chai_prize_reward_model_data"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | [
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|
Seongill/Trivia_missing_5 | Seongill | 2023-12-06T12:49:01Z | 3 | 1 | [
"region:us"
]
| null | 2023-12-06T12:48:56Z | ---
dataset_info:
features:
- name: question
dtype: string
- name: answers
sequence: string
- name: ctxs
list:
- name: hasanswer
dtype: bool
- name: id
dtype: string
- name: score
dtype: float64
- name: text
dtype: string
- name: title
dtype: string
- name: has_answer
dtype: bool
splits:
- name: train
num_bytes: 41021199
num_examples: 11313
download_size: 24823157
dataset_size: 41021199
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
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|
rntc/blurb_jnlpba_aug_-template_false | rntc | 2023-12-06T13:45:07Z | 3 | 0 | [
"region:us"
]
| null | 2023-12-06T13:45:02Z | ---
dataset_info:
features:
- name: id
dtype: string
- name: tokens
sequence: string
- name: type
dtype: string
- name: ner_tags
sequence:
class_label:
names:
'0': O
'1': B
'2': I
splits:
- name: train
num_bytes: 53849025
num_examples: 18607
- name: validation
num_bytes: 5453083
num_examples: 1939
- name: test
num_bytes: 12186765
num_examples: 4260
download_size: 10599736
dataset_size: 71488873
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: validation
path: data/validation-*
- split: test
path: data/test-*
---
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|
textminr/cmu-book-summaries | textminr | 2023-12-06T14:46:53Z | 3 | 0 | [
"size_categories:10K<n<100K",
"language:en",
"license:cc",
"summary",
"books",
"region:us"
]
| null | 2023-12-06T14:04:53Z | ---
language:
- en
license: cc
size_categories:
- 10K<n<100K
pretty_name: CMU Book Summary Dataset
tags:
- summary
- books
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
dataset_info:
features:
- name: title
dtype: string
- name: author
dtype: string
- name: pub_year
dtype: int64
- name: summary
dtype: string
splits:
- name: train
num_bytes: 42477672
num_examples: 16559
download_size: 26340403
dataset_size: 42477672
---
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|
jgchaparro/tsakonian_ai | jgchaparro | 2023-12-08T16:49:06Z | 3 | 0 | [
"region:us"
]
| null | 2023-12-06T15:24:52Z | ---
dataset_info:
features:
- name: text
dtype: string
splits:
- name: train
num_bytes: 107747
num_examples: 800
- name: test
num_bytes: 26753
num_examples: 200
download_size: 3491
dataset_size: 134500
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: test
path: data/test-*
---
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|
vedica1011/mini-platypus | vedica1011 | 2023-12-06T19:58:51Z | 3 | 0 | [
"region:us"
]
| null | 2023-12-06T19:58:48Z | ---
dataset_info:
features:
- name: instruction
dtype: string
- name: output
dtype: string
splits:
- name: train
num_bytes: 4049648
num_examples: 1000
download_size: 2170714
dataset_size: 4049648
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
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|
Tippawan/semi-training_set | Tippawan | 2023-12-07T00:17:26Z | 3 | 0 | [
"region:us"
]
| null | 2023-12-07T00:17:25Z | ---
dataset_info:
features:
- name: tokens
sequence: string
- name: ner_tags
sequence: int64
splits:
- name: train
num_bytes: 22227067
num_examples: 19739
download_size: 2853752
dataset_size: 22227067
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
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|
rntc/blurb_bc2gm_a | rntc | 2023-12-07T02:35:49Z | 3 | 0 | [
"region:us"
]
| null | 2023-12-07T02:35:43Z | ---
dataset_info:
features:
- name: id
dtype: string
- name: tokens
sequence: string
- name: type
dtype: string
- name: ner_tags
sequence:
class_label:
names:
'0': O
'1': B
'2': I
splits:
- name: train
num_bytes: 95598848
num_examples: 12574
- name: validation
num_bytes: 18151512
num_examples: 2519
- name: test
num_bytes: 36511145
num_examples: 5038
download_size: 23741909
dataset_size: 150261505
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: validation
path: data/validation-*
- split: test
path: data/test-*
---
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|
Jason773/w1024_part1 | Jason773 | 2023-12-07T06:08:18Z | 3 | 0 | [
"region:us"
]
| null | 2023-12-07T05:21:53Z | ---
dataset_info:
features:
- name: prompt
dtype: string
- name: target
dtype: string
- name: source
dtype: string
- name: target_img
dtype: image
- name: source_img
dtype: image
splits:
- name: train
num_bytes: 3664854161.6
num_examples: 14984
download_size: 3717646259
dataset_size: 3664854161.6
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
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|
invmodel/test1 | invmodel | 2023-12-07T09:23:04Z | 3 | 0 | [
"region:us"
]
| null | 2023-12-07T09:17:57Z | ---
dataset_info:
features:
- name: ground_truth
struct:
- name: gt_parse
struct:
- name: header
struct:
- name: invoice_no
dtype: string
- name: invoice_date
dtype: string
- name: seller
dtype: string
- name: client
dtype: string
- name: item
list:
- name: item_number
dtype: string
- name: item_desc
dtype: string
- name: item_qty
dtype: string
- name: item_um
dtype: string
- name: item_net_price
dtype: string
- name: item_net_worth
dtype: string
- name: item_vat
dtype: string
- name: item_gross_worth
dtype: string
- name: summary
struct:
- name: total_net_worth
dtype: string
- name: total_vat
dtype: string
- name: total_gross_worth
dtype: string
- name: pixel_values
sequence:
sequence:
sequence: float32
- name: labels
sequence: int64
- name: target_sequence
dtype: string
splits:
- name: train
num_bytes: 1496283886.8
num_examples: 180
- name: test
num_bytes: 166253765.2
num_examples: 20
download_size: 30543698
dataset_size: 1662537652.0
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: test
path: data/test-*
---
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|
ctang/deontology_rewardtrainer | ctang | 2023-12-08T14:24:10Z | 3 | 0 | [
"region:us"
]
| null | 2023-12-07T09:48:16Z | ---
dataset_info:
features:
- name: idx
dtype: int64
- name: sentence
dtype: string
- name: label
dtype: int64
splits:
- name: train
num_bytes: 1916105
num_examples: 17255
- name: validation
num_bytes: 50407
num_examples: 454
- name: test
num_bytes: 51241
num_examples: 455
download_size: 1064211
dataset_size: 2017753
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: validation
path: data/validation-*
- split: test
path: data/test-*
---
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|
KK1mo/tedigan_mask_1 | KK1mo | 2023-12-07T19:04:35Z | 3 | 0 | [
"region:us"
]
| null | 2023-12-07T12:31:30Z | ---
dataset_info:
features:
- name: id
dtype: string
- name: caption
dtype: string
- name: mask
dtype: image
- name: non_edited_image
dtype: image
- name: generated_image
dtype: image
splits:
- name: train
num_bytes: 650284786.0
num_examples: 500
download_size: 650305586
dataset_size: 650284786.0
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
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|
Gbssreejith/type_missed | Gbssreejith | 2023-12-07T12:55:27Z | 3 | 0 | [
"region:us"
]
| null | 2023-12-07T12:55:22Z | ---
dataset_info:
features:
- name: image
dtype: image
- name: ground_truth
dtype: string
splits:
- name: train
num_bytes: 26509033.0
num_examples: 108
- name: test
num_bytes: 2003519.0
num_examples: 9
- name: val
num_bytes: 1027003.0
num_examples: 4
download_size: 29027252
dataset_size: 29539555.0
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: test
path: data/test-*
- split: val
path: data/val-*
---
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|
ChirathD/dpt-caption-dataset-version-2 | ChirathD | 2023-12-07T13:53:38Z | 3 | 0 | [
"region:us"
]
| null | 2023-12-07T13:53:37Z | ---
dataset_info:
features:
- name: image
dtype: image
- name: text
dtype: string
splits:
- name: train
num_bytes: 3150308.0
num_examples: 5
download_size: 3152834
dataset_size: 3150308.0
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
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|
SofiaVouzika/eurosat | SofiaVouzika | 2023-12-07T14:19:43Z | 3 | 0 | [
"region:us"
]
| null | 2023-12-07T14:13:01Z | ---
dataset_info:
features:
- name: image
dtype: image
- name: label
dtype:
class_label:
names:
'0': Forest
'1': Pasture
'2': PermanentCrop
'3': SeaLake
splits:
- name: train
num_bytes: 15176162.857
num_examples: 5761
download_size: 14600816
dataset_size: 15176162.857
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
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|
ineoApp/ds_factures | ineoApp | 2023-12-07T14:24:51Z | 3 | 0 | [
"region:us"
]
| null | 2023-12-07T14:24:42Z | ---
dataset_info:
features:
- name: id
dtype: string
- name: image
dtype: image
- name: bboxes
sequence:
sequence: int64
- name: ner_tags
sequence:
class_label:
names:
'0': O
'1': numero facture
'2': fournisseur
'3': date facture
'4': date limite
'5': montant ht
'6': montant ttc
'7': tva
'8': prix tva
'9': addresse
'10': reference
'11': art1 designation
'12': art1 quantite
'13': art1 prix unit
'14': art1 tva
'15': art1 montant ht
'16': art2 designation
'17': art2 quantite
'18': art2 prix unit
'19': art2 tva
'20': art2 montant ht
- name: tokens
sequence: string
splits:
- name: train
num_bytes: 14736563.333333334
num_examples: 14
- name: test
num_bytes: 4210446.666666667
num_examples: 4
download_size: 6308297
dataset_size: 18947010.0
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: test
path: data/test-*
---
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|
shelvin94/translation_ma | shelvin94 | 2023-12-08T19:20:38Z | 3 | 0 | [
"task_categories:translation",
"size_categories:n>1T",
"language:en",
"language:ar",
"region:us"
]
| [
"translation"
]
| 2023-12-07T22:31:29Z | ---
task_categories:
- translation
language:
- en
- ar
pretty_name: train
size_categories:
- n>1T
---
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|
tomc43841/public_smash_full_dataset | tomc43841 | 2023-12-07T23:41:00Z | 3 | 0 | [
"region:us"
]
| null | 2023-12-07T23:29:39Z | ---
dataset_info:
features:
- name: image
dtype: image
- name: Start
dtype: bool
- name: A
dtype: bool
- name: B
dtype: bool
- name: X
dtype: bool
- name: Y
dtype: bool
- name: Z
dtype: bool
- name: DPadUp
dtype: bool
- name: DPadDown
dtype: bool
- name: DPadLeft
dtype: bool
- name: DPadRight
dtype: bool
- name: L
dtype: bool
- name: R
dtype: bool
- name: LPressure
dtype: int64
- name: RPressure
dtype: int64
- name: XAxis
dtype: int64
- name: YAxis
dtype: int64
- name: CXAxis
dtype: int64
- name: CYAxis
dtype: int64
splits:
- name: train
num_bytes: 17033709723.12
num_examples: 157640
download_size: 14295761737
dataset_size: 17033709723.12
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
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|
HelloFriend22/test | HelloFriend22 | 2023-12-09T10:18:05Z | 3 | 0 | [
"region:us"
]
| null | 2023-12-08T04:15:16Z | ---
dataset_info:
features:
- name: response
dtype: string
- name: type
dtype: string
- name: query
dtype: string
- name: answer
dtype: string
- name: answer_0
dtype: string
- name: solution_0
dtype: string
- name: correct_0
dtype: bool
- name: answer_1
dtype: string
- name: solution_1
dtype: string
- name: correct_1
dtype: bool
- name: answer_2
dtype: string
- name: solution_2
dtype: string
- name: correct_2
dtype: bool
- name: answer_3
dtype: string
- name: solution_3
dtype: string
- name: correct_3
dtype: bool
- name: answer_diversity
dtype: int64
splits:
- name: train
num_bytes: 2901035
num_examples: 1000
download_size: 1294129
dataset_size: 2901035
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
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|
Hoyeon/custom_knowledges | Hoyeon | 2023-12-08T08:07:35Z | 3 | 0 | [
"region:us"
]
| null | 2023-12-08T08:07:32Z | ---
dataset_info:
features:
- name: text
dtype: string
splits:
- name: train
num_bytes: 77841
num_examples: 156
download_size: 53451
dataset_size: 77841
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
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|
philikai/synth_validation_DDL_SPIDER | philikai | 2023-12-08T12:05:19Z | 3 | 0 | [
"size_categories:1K<n<10K",
"license:cc-by-sa-4.0",
"region:us"
]
| null | 2023-12-08T08:38:19Z | ---
dataset_info:
features:
- name: db_id
dtype: string
- name: DDL_schema
dtype: string
- name: question
dtype: string
- name: query
dtype: string
- name: complexity
dtype: int64
- name: execution_result
dtype: string
- name: error_flag
dtype: bool
- name: exception
dtype: float64
splits:
- name: train
num_bytes: 1405531
num_examples: 1028
download_size: 150828
dataset_size: 1405531
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
license: cc-by-sa-4.0
size_categories:
- 1K<n<10K
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|
vishnu027/marriage_s1951type2 | vishnu027 | 2023-12-08T10:13:45Z | 3 | 0 | [
"region:us"
]
| null | 2023-12-08T10:12:50Z | ---
dataset_info:
features:
- name: image
dtype: image
- name: ground_truth
dtype: string
splits:
- name: train
num_bytes: 589841650.0
num_examples: 568
- name: test
num_bytes: 117867028.0
num_examples: 114
- name: val
num_bytes: 29653218.0
num_examples: 29
download_size: 737241932
dataset_size: 737361896.0
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: test
path: data/test-*
- split: val
path: data/val-*
---
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|
edbeeching/test_dataset_bug2 | edbeeching | 2023-12-08T14:58:52Z | 3 | 0 | [
"region:us"
]
| null | 2023-12-08T14:58:50Z | ---
dataset_info:
features:
- name: revision
dtype: string
splits:
- name: train
num_bytes: 6
num_examples: 1
download_size: 752
dataset_size: 6
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
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|
dputilov/frontshadowmidaslarge | dputilov | 2023-12-09T17:17:44Z | 3 | 0 | [
"region:us"
]
| null | 2023-12-09T17:17:25Z | ---
dataset_info:
features:
- name: image
dtype: image
- name: conditioning_image
dtype: image
- name: mask
dtype: image
- name: text
dtype: string
splits:
- name: train
num_bytes: 273253023.976
num_examples: 1214
download_size: 274614930
dataset_size: 273253023.976
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
# Dataset Card for "frontshadowmidaslarge"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | [
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|
marcelittle/idrid_grading | marcelittle | 2023-12-09T23:02:09Z | 3 | 0 | [
"region:us"
]
| null | 2023-12-09T23:02:03Z | ---
dataset_info:
features:
- name: image
dtype: image
- name: text
dtype: string
splits:
- name: train
num_bytes: 19595295.0
num_examples: 257
download_size: 19434641
dataset_size: 19595295.0
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
# Dataset Card for "idrid_grading"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | [
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|
yukihirop/github-issues | yukihirop | 2023-12-10T05:10:55Z | 3 | 0 | [
"task_categories:text-classification",
"task_categories:text-retrieval",
"task_ids:multi-class-classification",
"task_ids:multi-label-classification",
"task_ids:document-retrieval",
"region:us"
]
| [
"text-classification",
"text-retrieval"
]
| 2023-12-10T05:05:33Z | ---
dataset_info:
features:
- name: url
dtype: string
- name: repository_url
dtype: string
- name: labels_url
dtype: string
- name: comments_url
dtype: string
- name: events_url
dtype: string
- name: html_url
dtype: string
- name: id
dtype: int64
- name: node_id
dtype: string
- name: number
dtype: int64
- name: title
dtype: string
- name: user
struct:
- name: login
dtype: string
- name: id
dtype: int64
- name: node_id
dtype: string
- name: avatar_url
dtype: string
- name: gravatar_id
dtype: string
- name: url
dtype: string
- name: html_url
dtype: string
- name: followers_url
dtype: string
- name: following_url
dtype: string
- name: gists_url
dtype: string
- name: starred_url
dtype: string
- name: subscriptions_url
dtype: string
- name: organizations_url
dtype: string
- name: repos_url
dtype: string
- name: events_url
dtype: string
- name: received_events_url
dtype: string
- name: type
dtype: string
- name: site_admin
dtype: bool
- name: labels
list:
- name: id
dtype: int64
- name: node_id
dtype: string
- name: url
dtype: string
- name: name
dtype: string
- name: color
dtype: string
- name: default
dtype: bool
- name: description
dtype: string
- name: state
dtype: string
- name: locked
dtype: bool
- name: assignee
struct:
- name: login
dtype: string
- name: id
dtype: int64
- name: node_id
dtype: string
- name: avatar_url
dtype: string
- name: gravatar_id
dtype: string
- name: url
dtype: string
- name: html_url
dtype: string
- name: followers_url
dtype: string
- name: following_url
dtype: string
- name: gists_url
dtype: string
- name: starred_url
dtype: string
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dtype: string
- name: organizations_url
dtype: string
- name: repos_url
dtype: string
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dtype: string
- name: received_events_url
dtype: string
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dtype: bool
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list:
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dtype: string
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dtype: int64
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dtype: string
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dtype: string
- name: gravatar_id
dtype: string
- name: url
dtype: string
- name: html_url
dtype: string
- name: followers_url
dtype: string
- name: following_url
dtype: string
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dtype: string
- name: starred_url
dtype: string
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dtype: string
- name: organizations_url
dtype: string
- name: repos_url
dtype: string
- name: events_url
dtype: string
- name: received_events_url
dtype: string
- name: type
dtype: string
- name: site_admin
dtype: bool
- name: milestone
struct:
- name: url
dtype: string
- name: html_url
dtype: string
- name: labels_url
dtype: string
- name: id
dtype: int64
- name: node_id
dtype: string
- name: number
dtype: int64
- name: title
dtype: string
- name: description
dtype: string
- name: creator
struct:
- name: login
dtype: string
- name: id
dtype: int64
- name: node_id
dtype: string
- name: avatar_url
dtype: string
- name: gravatar_id
dtype: string
- name: url
dtype: string
- name: html_url
dtype: string
- name: followers_url
dtype: string
- name: following_url
dtype: string
- name: gists_url
dtype: string
- name: starred_url
dtype: string
- name: subscriptions_url
dtype: string
- name: organizations_url
dtype: string
- name: repos_url
dtype: string
- name: events_url
dtype: string
- name: received_events_url
dtype: string
- name: type
dtype: string
- name: site_admin
dtype: bool
- name: open_issues
dtype: int64
- name: closed_issues
dtype: int64
- name: state
dtype: string
- name: created_at
dtype: timestamp[s]
- name: updated_at
dtype: timestamp[s]
- name: due_on
dtype: 'null'
- name: closed_at
dtype: 'null'
- name: comments
sequence: string
- name: created_at
dtype: timestamp[s]
- name: updated_at
dtype: timestamp[s]
- name: closed_at
dtype: timestamp[s]
- name: author_association
dtype: string
- name: active_lock_reason
dtype: 'null'
- name: body
dtype: string
- name: reactions
struct:
- name: url
dtype: string
- name: total_count
dtype: int64
- name: '+1'
dtype: int64
- name: '-1'
dtype: int64
- name: laugh
dtype: int64
- name: hooray
dtype: int64
- name: confused
dtype: int64
- name: heart
dtype: int64
- name: rocket
dtype: int64
- name: eyes
dtype: int64
- name: timeline_url
dtype: string
- name: performed_via_github_app
dtype: 'null'
- name: state_reason
dtype: string
- name: draft
dtype: bool
- name: pull_request
struct:
- name: url
dtype: string
- name: html_url
dtype: string
- name: diff_url
dtype: string
- name: patch_url
dtype: string
- name: merged_at
dtype: timestamp[s]
- name: is_pull_request
dtype: bool
splits:
- name: train
num_bytes: 13767402
num_examples: 1000
download_size: 3622731
dataset_size: 13767402
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
annotations_creators: []
language: []
language_creators: []
license: []
multilinguality: []
pretty_name: HuggingFace GitHub Issues
size_categories: []
source_datasets: []
tags: []
task_categories:
- text-classification
- text-retrieval
task_ids:
- multi-class-classification
- multi-label-classification
- document-retrieval
---
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|
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