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 |
|---|---|---|---|---|---|---|---|---|---|
ArasAyen/Alis | ArasAyen | 2023-12-11T14:15:38Z | 1 | 0 | [
"region:us"
]
| null | 2023-12-11T14:14:53Z | ---
dataset_info:
features:
- name: image
dtype: image
- name: text
dtype: string
splits:
- name: train
num_bytes: 974600521.0
num_examples: 659
download_size: 974328268
dataset_size: 974600521.0
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
# Dataset Card for "Alis"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | [
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|
LxYxvv/quora_one_many_qa | LxYxvv | 2023-12-14T10:28:24Z | 1 | 0 | [
"task_categories:question-answering",
"license:mit",
"region:us"
]
| [
"question-answering"
]
| 2023-12-11T14:56:52Z | ---
license: mit
task_categories:
- question-answering
---
# QUORA_ONE_MANY_QA
This dataset is derived from **quora.com** questioning data. It is a question with multiple answers.
# STATISTICS
- 902-1000000 12.5G
- Updating... | [
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|
visualcomments/train_data | visualcomments | 2023-12-11T15:20:58Z | 1 | 0 | [
"license:gpl-3.0",
"region:us"
]
| null | 2023-12-11T15:10:19Z | ---
license: gpl-3.0
---
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|
dputilov/isoshadowmidaslarge | dputilov | 2023-12-11T15:30:03Z | 1 | 0 | [
"region:us"
]
| null | 2023-12-11T15:29:51Z | ---
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: 168999238.0
num_examples: 707
download_size: 168895732
dataset_size: 168999238.0
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
# Dataset Card for "isoshadowmidaslarge"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | [
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|
predictionguard/promptinjections | predictionguard | 2023-12-13T14:16:20Z | 1 | 0 | [
"license:mit",
"region:us"
]
| null | 2023-12-11T17:48:07Z | ---
license: mit
dataset_info:
features:
- name: prompt
dtype: string
- name: INJECTION
dtype: bool
- name: 'Unnamed: 0'
dtype: int64
splits:
- name: train
num_bytes: 5879405
num_examples: 17678
download_size: 3168127
dataset_size: 5879405
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
This is a WIP dataset used to identify Prompt injections. This dataset contains legitimate prompts and jailbreak prompts. It also contains combinations of phrases that could potentially be used to jailbreak llms
inspired from the [rebuff project](https://www.rebuff.ai).
Reference:
1. [jailbreakchat](https://www.jailbreakchat.com)
2. Srikanth Srinivas. (2023). Swype.com Dataset. Swype.com. Available at: [Swype.com Dataset](https://swype.com). Email: [email protected]
3. [rebuff project](https://www.rebuff.ai)
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|
kpriyanshu256/semeval-task-8-a-mono-v2-test-paraphrase-2-mistral-7b | kpriyanshu256 | 2023-12-11T18:38:26Z | 1 | 0 | [
"region:us"
]
| null | 2023-12-11T18:38:24Z | ---
configs:
- config_name: default
data_files:
- split: test
path: data/test-*
dataset_info:
features:
- name: text
dtype: string
- name: label
dtype: int64
- name: model
dtype: string
- name: source
dtype: string
- name: id
dtype: int64
- name: paraphrase
dtype: string
- name: paraphrase2
dtype: string
- name: mistral-7b_estimated_loss
dtype: float64
- name: mistral-7b_mean_lowest25
dtype: float64
- name: mistral-7b_mean_highest25
dtype: float64
- name: mistral-7b_max
dtype: float64
- name: mistral-7b_min
dtype: float64
- name: mistral-7b_range
dtype: float64
- name: mistral-7b_mean
dtype: float64
- name: mistral-7b_std
dtype: float64
- name: mistral-7b_entropy
dtype: float64
- name: mistral-7b_kurtosis
dtype: float64
- name: mistral-7b_skewness
dtype: float64
- name: mistral-7b_perplexity
dtype: float64
splits:
- name: test
num_bytes: 23867836
num_examples: 5000
download_size: 13908370
dataset_size: 23867836
---
# Dataset Card for "semeval-task-8-a-mono-v2-test-paraphrase-2-mistral-7b"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | [
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|
rolisz/ekklesiaoradea_sermons | rolisz | 2023-12-11T22:07:18Z | 1 | 0 | [
"region:us"
]
| null | 2023-12-11T21:53:55Z | ---
dataset_info:
features:
- name: audio
dtype: audio
splits:
- name: train
num_bytes: 34492094.0
num_examples: 5
download_size: 34279205
dataset_size: 34492094.0
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
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|
atmallen/quirky_sciq_pythia-410m_alice_easy | atmallen | 2023-12-12T06:54:02Z | 1 | 0 | [
"region:us"
]
| null | 2023-12-12T01:12:09Z | ---
dataset_info:
features:
- name: id
dtype: string
- name: choices
sequence: string
- name: label
dtype: int64
- name: difficulty
dtype: float64
- name: statement
dtype: string
- name: character
dtype: string
- name: alice_label
dtype: bool
- name: bob_label
dtype: bool
- name: bob_log_odds
dtype: float64
splits:
- name: train
num_bytes: 3637062.50295402
num_examples: 5838
- name: validation
num_bytes: 304362.045
num_examples: 494
- name: test
num_bytes: 316343.916
num_examples: 504
download_size: 1397061
dataset_size: 4257768.46395402
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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|
atmallen/quirky_sciq_pythia-410m_alice_hard | atmallen | 2023-12-12T06:54:04Z | 1 | 0 | [
"region:us"
]
| null | 2023-12-12T01:12:12Z | ---
dataset_info:
features:
- name: id
dtype: string
- name: choices
sequence: string
- name: label
dtype: int64
- name: difficulty
dtype: float64
- name: statement
dtype: string
- name: character
dtype: string
- name: alice_label
dtype: bool
- name: bob_label
dtype: bool
- name: bob_log_odds
dtype: float64
splits:
- name: train
num_bytes: 3638308.4990153266
num_examples: 5840
- name: validation
num_bytes: 337632.39
num_examples: 548
- name: test
num_bytes: 297513.921
num_examples: 474
download_size: 1364408
dataset_size: 4273454.810015326
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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|
atmallen/quirky_sciq_pythia-410m_alice | atmallen | 2023-12-12T06:54:06Z | 1 | 0 | [
"region:us"
]
| null | 2023-12-12T01:12:17Z | ---
dataset_info:
features:
- name: id
dtype: string
- name: choices
sequence: string
- name: label
dtype: int64
- name: difficulty
dtype: float64
- name: statement
dtype: string
- name: character
dtype: string
- name: alice_label
dtype: bool
- name: bob_label
dtype: bool
- name: bob_log_odds
dtype: float64
splits:
- name: train
num_bytes: 14551988.0
num_examples: 23358
- name: validation
num_bytes: 1232235.0
num_examples: 2000
- name: test
num_bytes: 1255333.0
num_examples: 2000
download_size: 5454709
dataset_size: 17039556.0
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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|
dayaburamshetty/reuters_articles | dayaburamshetty | 2023-12-12T02:52:18Z | 1 | 0 | [
"region:us"
]
| null | 2023-12-12T02:52:10Z | ---
dataset_info:
features:
- name: title
dtype: string
- name: body
dtype: string
splits:
- name: train
num_bytes: 13792576
num_examples: 17262
- name: validation
num_bytes: 1870389
num_examples: 2158
- name: test
num_bytes: 1379190
num_examples: 2158
download_size: 10073414
dataset_size: 17042155
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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|
kennytat/test_dataset | kennytat | 2023-12-12T04:39:09Z | 1 | 0 | [
"region:us"
]
| null | 2023-12-12T02:54:53Z | ---
dataset_info:
features:
- name: filename
dtype: string
- name: audio
dtype:
audio:
sampling_rate: 48000
- name: transcript
dtype: string
- name: sample_rate
dtype: int32
- name: duration
dtype: float32
- name: input_ids
sequence: int32
- name: token_type_ids
sequence: int8
- name: attention_mask
sequence: int8
splits:
- name: train
num_bytes: 10575340.0
num_examples: 20
download_size: 8562282
dataset_size: 10575340.0
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
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|
armanzarei/keivan_finetune | armanzarei | 2023-12-12T03:59:52Z | 1 | 0 | [
"region:us"
]
| null | 2023-12-12T03:59:43Z | ---
dataset_info:
features:
- name: image
dtype: image
- name: text
dtype: string
splits:
- name: train
num_bytes: 156358099.0
num_examples: 329
download_size: 156335903
dataset_size: 156358099.0
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
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|
debadas/diamonds | debadas | 2023-12-12T06:33:23Z | 1 | 0 | [
"license:mit",
"region:us"
]
| null | 2023-12-12T05:36:32Z | ---
license: mit
dataset_info:
features:
- name: image
dtype: image
- name: stock_number
dtype: string
- name: shape
dtype: string
- name: carat
dtype: float64
- name: clarity
dtype: string
- name: colour
dtype: string
- name: cut
dtype: string
- name: polish
dtype: string
- name: symmetry
dtype: string
- name: fluorescence
dtype: string
- name: lab
dtype: string
- name: length
dtype: float64
- name: width
dtype: float64
- name: depth
dtype: float64
- name: text
dtype: string
splits:
- name: train
num_bytes: 4796614925.89
num_examples: 48765
download_size: 3319091745
dataset_size: 4796614925.89
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
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|
himanshu-iitd/xbsxjk | himanshu-iitd | 2023-12-12T05:53:26Z | 1 | 1 | [
"license:apache-2.0",
"region:us"
]
| null | 2023-12-12T05:40:18Z | ---
license: apache-2.0
---
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|
nam194/Methods2Test_java_unit_test_code | nam194 | 2023-12-12T07:36:28Z | 1 | 0 | [
"region:us"
]
| null | 2023-12-12T07:35:52Z | ---
dataset_info:
features:
- name: target
dtype: string
- name: src_fm
dtype: string
- name: src_fm_fc
dtype: string
- name: src_fm_fc_co
dtype: string
- name: src_fm_fc_ms
dtype: string
- name: src_fm_fc_ms_ff
dtype: string
splits:
- name: train
num_bytes: 3399525755
num_examples: 624022
- name: test
num_bytes: 907751466
num_examples: 156922
download_size: 550336371
dataset_size: 4307277221
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: test
path: data/test-*
---
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|
cigdemcnb/turkishReviews-ds-mini | cigdemcnb | 2023-12-12T08:28:21Z | 1 | 0 | [
"region:us"
]
| null | 2023-12-12T08:27:44Z | ---
dataset_info:
features:
- name: review
dtype: string
- name: review_length
dtype: int64
splits:
- name: train
num_bytes: 1252876.2642514652
num_examples: 3378
- name: validation
num_bytes: 139455.7357485349
num_examples: 376
download_size: 896651
dataset_size: 1392332.0
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: validation
path: data/validation-*
---
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|
georgesuper/houseDataset | georgesuper | 2023-12-12T08:46:16Z | 1 | 0 | [
"license:apache-2.0",
"region:us"
]
| null | 2023-12-12T08:43:03Z | ---
license: apache-2.0
---
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|
kristmh/test_low_vs_high_and_med_priority | kristmh | 2023-12-12T10:13:06Z | 1 | 0 | [
"region:us"
]
| null | 2023-12-12T10:13:03Z | ---
configs:
- config_name: default
data_files:
- split: test_separate
path: data/test_separate-*
dataset_info:
features:
- name: text_clean
dtype: string
- name: labels
dtype: int64
- name: class
dtype: string
splits:
- name: test_separate
num_bytes: 9583079
num_examples: 13399
download_size: 4767234
dataset_size: 9583079
---
# Dataset Card for "test_low_vs_high_and_med_priority"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | [
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|
kristmh/low_vs_high_and_med_priority | kristmh | 2023-12-12T10:15:31Z | 1 | 0 | [
"region:us"
]
| null | 2023-12-12T10:14:56Z | ---
configs:
- config_name: default
data_files:
- split: test
path: data/test-*
- split: train
path: data/train-*
- split: validate
path: data/validate-*
dataset_info:
features:
- name: text_clean
dtype: string
- name: labels
dtype: int64
- name: class
dtype: string
- name: __index_level_0__
dtype: int64
splits:
- name: test
num_bytes: 17896186
num_examples: 25459
- name: train
num_bytes: 142298205
num_examples: 203668
- name: validate
num_bytes: 18151400
num_examples: 25458
download_size: 90349861
dataset_size: 178345791
---
# Dataset Card for "low_vs_high_and_med_priority"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | [
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|
ammarnasr/data_engineering_8_with_code_dataset | ammarnasr | 2023-12-12T10:43:38Z | 1 | 0 | [
"region:us"
]
| null | 2023-12-12T10:43:33Z | ---
dataset_info:
features:
- name: repo_name
dtype: string
- name: repo_url
dtype: string
- name: repo_description
dtype: string
- name: repo_stars
dtype: int64
- name: repo_forks
dtype: int64
- name: repo_last_updated
dtype: string
- name: repo_created_at
dtype: string
- name: repo_size
dtype: int64
- name: repo_license
dtype: string
- name: language
dtype: string
- name: text
dtype: string
- name: avg_line_length
dtype: float64
- name: max_line_length
dtype: int64
- name: alphnanum_fraction
dtype: float64
splits:
- name: train
num_bytes: 18580918
num_examples: 495
download_size: 7162238
dataset_size: 18580918
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
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|
jeswinLLM/INCLOWN | jeswinLLM | 2023-12-12T13:50:43Z | 1 | 0 | [
"region:us"
]
| null | 2023-12-12T13:50:41Z | ---
dataset_info:
features:
- name: text
dtype: string
- name: label
dtype:
class_label:
names:
'0': cancel_order
'1': change_order
'2': change_shipping_address
'3': check_cancellation_fee
'4': check_invoice
'5': check_payment_methods
'6': check_refund_policy
'7': complaint
'8': contact_customer_service
'9': contact_human_agent
'10': create_account
'11': delete_account
'12': delivery_options
'13': delivery_period
'14': edit_account
'15': get_invoice
'16': get_refund
'17': newsletter_subscription
'18': payment_issue
'19': place_order
'20': recover_password
'21': registration_problems
'22': review
'23': set_up_shipping_address
'24': switch_account
'25': track_order
'26': track_refund
splits:
- name: train
num_bytes: 1423902
num_examples: 24184
download_size: 545269
dataset_size: 1423902
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
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|
jeswinLLM/VERY_RANDOM_DATA | jeswinLLM | 2023-12-12T14:09:12Z | 1 | 0 | [
"region:us"
]
| null | 2023-12-12T14:09:10Z | ---
dataset_info:
features:
- name: text
dtype: string
- name: label
dtype:
class_label:
names:
'0': cancel_order
'1': change_order
'2': change_shipping_address
'3': check_cancellation_fee
'4': check_invoice
'5': check_payment_methods
'6': check_refund_policy
'7': complaint
'8': contact_customer_service
'9': contact_human_agent
'10': create_account
'11': delete_account
'12': delivery_options
'13': delivery_period
'14': edit_account
'15': get_invoice
'16': get_refund
'17': newsletter_subscription
'18': payment_issue
'19': place_order
'20': recover_password
'21': registration_problems
'22': review
'23': set_up_shipping_address
'24': switch_account
'25': track_order
'26': track_refund
- name: label_name
dtype: string
splits:
- name: train
num_bytes: 2103516
num_examples: 26872
download_size: 435285
dataset_size: 2103516
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
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|
aitamilnadu/tamil_stories | aitamilnadu | 2023-12-15T08:28:10Z | 1 | 0 | [
"task_categories:text-generation",
"task_categories:question-answering",
"task_categories:conversational",
"language_creators:expert-generated",
"language_creators:machine-generated",
"multilinguality:monolingual",
"size_categories:1K<n<2K",
"language:ta",
"license:apache-2.0",
"region:us"
]
| [
"text-generation",
"question-answering",
"conversational"
]
| 2023-12-12T16:02:57Z | ---
license: apache-2.0
task_categories:
- text-generation
- question-answering
- conversational
language:
- ta
size_categories:
- 1K<n<2K
language_creators:
- expert-generated
- machine-generated
multilinguality:
- monolingual
pretty_name: tamil_stories
---
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|
habanoz/oasst_top1_2023-08-25-chat-format | habanoz | 2023-12-12T19:08:19Z | 1 | 0 | [
"region:us"
]
| null | 2023-12-12T18:50:29Z | ---
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: test
path: data/test-*
dataset_info:
features:
- name: conversation
list:
- name: content
dtype: string
- name: role
dtype: string
splits:
- name: train
num_bytes: 22536930
num_examples: 12947
- name: test
num_bytes: 1184262
num_examples: 690
download_size: 13745483
dataset_size: 23721192
---
# Dataset Card for "oasst_top1_2023-08-25-chat-format"
This dataset is a copy of [OpenAssistant/oasst_top1_2023-08-25](https://huggingface.co/datasets/OpenAssistant/oasst_top1_2023-08-25) transformed to work with hugging face chat templates. | [
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|
SyedAunZaidi/cv-corpus | SyedAunZaidi | 2023-12-12T18:53:50Z | 1 | 0 | [
"region:us"
]
| null | 2023-12-12T18:53:09Z | ---
dataset_info:
config_name: cv-corpus-15.0/ur
features:
- name: audio
dtype: audio
- name: client_id
dtype: string
- name: path
dtype: string
- name: sentence
dtype: string
- name: up_votes
dtype: string
- name: down_votes
dtype: string
- name: age
dtype: string
- name: gender
dtype: string
- name: accents
dtype: string
- name: variant
dtype: float64
- name: locale
dtype: string
- name: segment
dtype: float64
- name: file
dtype: string
splits:
- name: train
num_bytes: 134170569.356
num_examples: 5324
- name: validation
num_bytes: 101371187.16
num_examples: 3990
- name: test
num_bytes: 107856086.014
num_examples: 4031
download_size: 342919418
dataset_size: 343397842.53
configs:
- config_name: cv-corpus-15.0/ur
data_files:
- split: train
path: cv-corpus-15.0/ur/train-*
- split: validation
path: cv-corpus-15.0/ur/validation-*
- split: test
path: cv-corpus-15.0/ur/test-*
---
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|
Sunbird/salt-multispeaker-lgg | Sunbird | 2023-12-12T23:10:55Z | 1 | 0 | [
"region:us"
]
| null | 2023-12-12T23:09:49Z | ---
dataset_info:
features:
- name: ids
dtype: string
- name: texts
dtype: string
- name: audios
sequence: float32
- name: audio_languages
dtype: string
- name: are_studio
dtype: bool
- name: speaker_ids
dtype: string
- name: sample_rates
dtype: int64
splits:
- name: train
num_bytes: 2346308587
num_examples: 4768
- name: dev
num_bytes: 49044839
num_examples: 101
- name: test
num_bytes: 49347377
num_examples: 96
download_size: 1200817239
dataset_size: 2444700803
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: dev
path: data/dev-*
- split: test
path: data/test-*
---
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|
Sunbird/salt-multispeaker-nyn | Sunbird | 2023-12-12T23:14:49Z | 1 | 0 | [
"region:us"
]
| null | 2023-12-12T23:13:41Z | ---
dataset_info:
features:
- name: ids
dtype: string
- name: texts
dtype: string
- name: audios
sequence: float32
- name: audio_languages
dtype: string
- name: are_studio
dtype: bool
- name: speaker_ids
dtype: string
- name: sample_rates
dtype: int64
splits:
- name: train
num_bytes: 2097996653
num_examples: 4812
- name: dev
num_bytes: 42040114
num_examples: 101
- name: test
num_bytes: 45063109
num_examples: 96
download_size: 1776765999
dataset_size: 2185099876
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: dev
path: data/dev-*
- split: test
path: data/test-*
---
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|
Sunbird/salt-multispeaker-teo | Sunbird | 2023-12-12T23:18:07Z | 1 | 0 | [
"region:us"
]
| null | 2023-12-12T23:17:13Z | ---
dataset_info:
features:
- name: ids
dtype: string
- name: texts
dtype: string
- name: audios
sequence: float32
- name: audio_languages
dtype: string
- name: are_studio
dtype: bool
- name: speaker_ids
dtype: string
- name: sample_rates
dtype: int64
splits:
- name: train
num_bytes: 1980186489
num_examples: 4839
- name: dev
num_bytes: 38906885
num_examples: 99
- name: test
num_bytes: 40474229
num_examples: 96
download_size: 1001792531
dataset_size: 2059567603
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: dev
path: data/dev-*
- split: test
path: data/test-*
---
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|
Sunbird/salt-multispeaker-eng | Sunbird | 2023-12-12T23:21:01Z | 1 | 0 | [
"region:us"
]
| null | 2023-12-12T23:20:20Z | ---
dataset_info:
features:
- name: ids
dtype: string
- name: texts
dtype: string
- name: audios
sequence: float32
- name: audio_languages
dtype: string
- name: are_studio
dtype: bool
- name: speaker_ids
dtype: string
- name: sample_rates
dtype: int64
splits:
- name: train
num_bytes: 1490683080
num_examples: 4797
- name: dev
num_bytes: 30879890
num_examples: 100
- name: test
num_bytes: 32136177
num_examples: 96
download_size: 753859209
dataset_size: 1553699147
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: dev
path: data/dev-*
- split: test
path: data/test-*
---
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|
alperaktasm/turkishComments | alperaktasm | 2023-12-13T00:48:41Z | 1 | 0 | [
"region:us"
]
| null | 2023-12-13T00:48:30Z | ---
dataset_info:
features:
- name: review
dtype: string
- name: review_length
dtype: int64
splits:
- name: train
num_bytes: 12491048.425765887
num_examples: 33637
- name: validation
num_bytes: 1388100.5742341138
num_examples: 3738
download_size: 8868704
dataset_size: 13879149.0
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: validation
path: data/validation-*
---
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|
Sunbird/salt-studio-ach | Sunbird | 2023-12-13T01:46:26Z | 1 | 0 | [
"region:us"
]
| null | 2023-12-13T01:30:23Z | ---
dataset_info:
features:
- name: id
dtype: string
- name: text
dtype: string
- name: audio
sequence: float32
- name: audio_language
dtype: string
- name: is_studio
dtype: bool
- name: speaker_id
dtype: string
- name: sample_rate
dtype: int64
splits:
- name: train
num_bytes: 1347657571
num_examples: 4801
- name: dev
num_bytes: 27757006
num_examples: 101
- name: test
num_bytes: 26447305
num_examples: 96
download_size: 702558860
dataset_size: 1401861882
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: dev
path: data/dev-*
- split: test
path: data/test-*
---
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|
Sunbird/salt-studio-teo | Sunbird | 2023-12-13T01:53:01Z | 1 | 0 | [
"region:us"
]
| null | 2023-12-13T01:31:38Z | ---
dataset_info:
features:
- name: id
dtype: string
- name: text
dtype: string
- name: audio
sequence: float32
- name: audio_language
dtype: string
- name: is_studio
dtype: bool
- name: speaker_id
dtype: string
- name: sample_rate
dtype: int64
splits:
- name: train
num_bytes: 2308096774
num_examples: 4564
- name: dev
num_bytes: 49170943
num_examples: 96
- name: test
num_bytes: 47400424
num_examples: 92
download_size: 978473136
dataset_size: 2404668141
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: dev
path: data/dev-*
- split: test
path: data/test-*
---
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|
Sunbird/salt-studio-eng | Sunbird | 2023-12-13T01:57:02Z | 1 | 0 | [
"region:us"
]
| null | 2023-12-13T01:33:02Z | ---
dataset_info:
features:
- name: id
dtype: string
- name: text
dtype: string
- name: audio
sequence: float32
- name: audio_language
dtype: string
- name: is_studio
dtype: bool
- name: speaker_id
dtype: string
- name: sample_rate
dtype: int64
splits:
- name: train
num_bytes: 851108333
num_examples: 2411
- name: dev
num_bytes: 17784406
num_examples: 50
- name: test
num_bytes: 15322738
num_examples: 42
download_size: 437647388
dataset_size: 884215477
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: dev
path: data/dev-*
- split: test
path: data/test-*
---
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|
Sunbird/salt-studio-nyn | Sunbird | 2023-12-13T02:07:46Z | 1 | 0 | [
"region:us"
]
| null | 2023-12-13T01:34:25Z | ---
dataset_info:
features:
- name: id
dtype: string
- name: text
dtype: string
- name: audio
sequence: float32
- name: audio_language
dtype: string
- name: is_studio
dtype: bool
- name: speaker_id
dtype: string
- name: sample_rate
dtype: int64
splits:
- name: train
num_bytes: 39234788
num_examples: 94
- name: dev
num_bytes: 1666051
num_examples: 4
- name: test
num_bytes: 947543
num_examples: 2
download_size: 20940570
dataset_size: 41848382
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: dev
path: data/dev-*
- split: test
path: data/test-*
---
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|
aarnow/auditory-skills-test2 | aarnow | 2023-12-13T02:03:52Z | 1 | 0 | [
"task_categories:text-classification",
"language:en",
"license:mit",
"medical",
"region:us"
]
| [
"text-classification"
]
| 2023-12-13T01:43:31Z | ---
dataset_info:
features:
- name: label
dtype: string
- name: text
dtype: string
splits:
- name: train
num_bytes: 25398
num_examples: 275
download_size: 10734
dataset_size: 25398
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
license: mit
task_categories:
- text-classification
language:
- en
tags:
- medical
---
The purpose of this project is to build a dataset and model to enable an AI powered diagnostic tool that assesses a child's auditory skills and recommends resources and therapies that can bring them to the next stage. The primary user base of this tool is intended to be the parents of a child with hearing loss however it is the hope of the creators of this tool that speech and language pathologists (SLPs) and other early intervention and pediatric practitioners can find use.
The model uses a natural language processing (NLP) model for text-classification and converts free text inputted by the parent of a child with hearing loss into 1 of 4 clinical categories: DETECTION, DISCRIMINATION, IDENTIFICATION, CLASSIFICATION.
Based on the classification of the child against a given skill a recommendation is made for therapies that can be used to improve the child's competency against a given skill. The value of this approach is that each child is challenged to build upon existing skills while not being given any task too difficult that will result in discouragement. | [
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|
Sunbird/salt-studio-lug | Sunbird | 2023-12-13T02:00:49Z | 1 | 0 | [
"region:us"
]
| null | 2023-12-13T02:00:24Z | ---
dataset_info:
features:
- name: id
dtype: string
- name: text
dtype: string
- name: audio
sequence: float32
- name: audio_language
dtype: string
- name: is_studio
dtype: bool
- name: speaker_id
dtype: string
- name: sample_rate
dtype: int64
splits:
- name: train
num_bytes: 880655669
num_examples: 2395
- name: dev
num_bytes: 18852996
num_examples: 50
- name: test
num_bytes: 16076881
num_examples: 43
download_size: 454989170
dataset_size: 915585546
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: dev
path: data/dev-*
- split: test
path: data/test-*
---
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|
DragonLine/ksponspeech_preprocess | DragonLine | 2023-12-13T11:00:49Z | 1 | 0 | [
"region:us"
]
| null | 2023-12-13T02:14:05Z | ---
dataset_info:
features:
- name: input_features
sequence:
sequence: float32
- name: labels
sequence: int64
splits:
- name: train
num_bytes: 287822522824
num_examples: 299636
- name: test
num_bytes: 35978292528
num_examples: 37455
- name: valid
num_bytes: 35977363904
num_examples: 37454
download_size: 71861477562
dataset_size: 359778179256
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: test
path: data/test-*
- split: valid
path: data/valid-*
---
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|
Seongill/NQ_missing_5_similar_substitution | Seongill | 2023-12-13T05:27:03Z | 1 | 0 | [
"region:us"
]
| null | 2023-12-13T05:26:58Z | ---
dataset_info:
features:
- name: question
dtype: string
- name: answers
sequence: string
- name: ctxs
list:
- name: answer_sent
sequence: string
- 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
- name: random_sub
dtype: string
- name: similar_sub
dtype: string
- name: ent_type
dtype: string
splits:
- name: train
num_bytes: 14183838
num_examples: 3610
download_size: 7823763
dataset_size: 14183838
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
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|
AldrinDennis/jammu_section_370 | AldrinDennis | 2023-12-13T09:20:19Z | 1 | 0 | [
"license:apache-2.0",
"region:us"
]
| null | 2023-12-13T09:19:29Z | ---
license: apache-2.0
---
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|
Nacholmo/cards-test | Nacholmo | 2023-12-13T09:37:34Z | 1 | 0 | [
"region:us"
]
| null | 2023-12-13T09:37:19Z | ---
dataset_info:
features:
- name: name
dtype: string
- name: type
dtype: string
- name: desc
dtype: string
- name: atk
dtype: string
- name: def
dtype: string
- name: level
dtype: float64
- name: race
dtype: string
- name: attribute
dtype: string
- name: scale
dtype: string
- name: archetype
dtype: string
- name: linkval
dtype: string
- name: linkmarkers
dtype: string
splits:
- name: train
num_bytes: 5125490
num_examples: 12878
download_size: 1709623
dataset_size: 5125490
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
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|
imelike/turkishReviews-ds-50-mini | imelike | 2023-12-13T11:59:22Z | 1 | 0 | [
"region:us"
]
| null | 2023-12-13T09:59:25Z | ---
dataset_info:
features:
- name: review
dtype: string
- name: review_length
dtype: int64
splits:
- name: train
num_bytes: 16190338.5
num_examples: 45000
- name: validation
num_bytes: 1798926.5
num_examples: 5000
download_size: 11521473
dataset_size: 17989265.0
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: validation
path: data/validation-*
---
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|
indra-inc/signature_genuine_forged_bhSig_hindi | indra-inc | 2023-12-15T09:06:05Z | 1 | 0 | [
"region:us"
]
| null | 2023-12-13T10:08:49Z | ---
dataset_info:
features:
- name: Label
dtype: int64
- name: Anchor_Signature_Image
dtype: image
- name: Pos_Neg_Signature_Image
dtype: image
splits:
- name: train
num_bytes: 62609179640.768
num_examples: 111552
- name: valid
num_bytes: 13410912992.24
num_examples: 23904
- name: test
num_bytes: 13433939681.168
num_examples: 23904
download_size: 5542863879
dataset_size: 89454032314.176
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: valid
path: data/valid-*
- split: test
path: data/test-*
---
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|
indra-inc/signature_genuine_forged_bhSig_beng | indra-inc | 2023-12-15T09:10:01Z | 1 | 0 | [
"region:us"
]
| null | 2023-12-13T10:09:25Z | ---
dataset_info:
features:
- name: Label
dtype: int64
- name: Anchor_Signature_Image
dtype: image
- name: Pos_Neg_Signature_Image
dtype: image
splits:
- name: train
num_bytes: 39151605345.92
num_examples: 69720
- name: valid
num_bytes: 8407644522.3
num_examples: 14940
- name: test
num_bytes: 8417281648.34
num_examples: 14940
download_size: 3491897750
dataset_size: 55976531516.56
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: valid
path: data/valid-*
- split: test
path: data/test-*
---
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|
SyedAunZaidi/cv-corpus-15.0-ur | SyedAunZaidi | 2023-12-13T10:16:07Z | 1 | 0 | [
"region:us"
]
| null | 2023-12-13T10:15:53Z | ---
dataset_info:
features:
- name: audio
dtype: audio
- name: client_id
dtype: string
- name: path
dtype: string
- name: transcription
dtype: string
- name: up_votes
dtype: int64
- name: down_votes
dtype: int64
- name: age
dtype: string
- name: gender
dtype: string
- name: accents
dtype: string
- name: variant
dtype: float64
- name: locale
dtype: string
- name: segment
dtype: float64
- name: config
dtype: string
splits:
- name: train
num_bytes: 133847746.356
num_examples: 5324
- name: validation
num_bytes: 101136427.16
num_examples: 3990
- name: test
num_bytes: 107596903.014
num_examples: 4031
download_size: 342691488
dataset_size: 342581076.53
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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|
Narmadat21/test3-my-Alpaca-llama2-100R | Narmadat21 | 2023-12-13T11:16:51Z | 1 | 0 | [
"region:us"
]
| null | 2023-12-13T11:16:50Z | ---
dataset_info:
features:
- name: instruction
dtype: string
- name: input
dtype: string
- name: output
dtype: string
- name: text
dtype: string
splits:
- name: train
num_bytes: 61423
num_examples: 100
download_size: 46686
dataset_size: 61423
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
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|
Seongill/Trivia_5_only_adversary_1159_gpt | Seongill | 2023-12-13T11:51:57Z | 1 | 0 | [
"region:us"
]
| null | 2023-12-13T11:51:53Z | ---
dataset_info:
features:
- name: question
dtype: string
- name: answers
sequence: string
- name: has_answer
dtype: bool
- name: similar_sub
dtype: string
- name: ctxs
list:
- name: answer_sent
sequence: string
- name: hasanswer
dtype: bool
- name: id
dtype: string
- name: is_adv
dtype: bool
- name: new_answer_sent
dtype: string
- name: original_text
dtype: string
- name: score
dtype: float64
- name: text
dtype: string
- name: title
dtype: string
- name: num_advs
dtype: int64
splits:
- name: train
num_bytes: 7404322
num_examples: 1159
download_size: 3197268
dataset_size: 7404322
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
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|
Seongill/Trivia_5_only_adversary_1086 | Seongill | 2023-12-13T12:11:04Z | 1 | 0 | [
"region:us"
]
| null | 2023-12-13T12:11:00Z | ---
dataset_info:
features:
- name: question
dtype: string
- name: answers
sequence: string
- name: ctxs
list:
- name: answer_sent
sequence: string
- 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
- name: random_sub
dtype: string
- name: similar_sub
dtype: string
- name: ent_type
dtype: string
- name: new_ctxs
list:
- name: answer_sent
sequence: string
- name: hasanswer
dtype: bool
- name: id
dtype: string
- name: is_adv
dtype: bool
- name: new_answer_sent
dtype: string
- name: original_text
dtype: string
- name: score
dtype: float64
- name: text
dtype: string
- name: title
dtype: string
- name: num_advs
dtype: int64
- name: __index_level_0__
dtype: int64
splits:
- name: train
num_bytes: 11314924
num_examples: 1086
download_size: 5687960
dataset_size: 11314924
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
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|
Seongill/Trivia_5_only_adversary_1086_gpt_wo_answer_string | Seongill | 2023-12-13T13:09:06Z | 1 | 0 | [
"region:us"
]
| null | 2023-12-13T13:09:03Z | ---
dataset_info:
features:
- name: question
dtype: string
- name: answers
sequence: string
- name: has_answer
dtype: bool
- name: similar_sub
dtype: string
- name: ent_type
dtype: string
- name: ctxs
list:
- name: answer_sent
sequence: string
- name: hasanswer
dtype: bool
- name: id
dtype: string
- name: is_adv
dtype: bool
- name: new_answer_sent
dtype: string
- name: original_text
dtype: string
- name: score
dtype: float64
- name: text
dtype: string
- name: title
dtype: string
- name: num_advs
dtype: int64
splits:
- name: train
num_bytes: 6842638
num_examples: 1086
download_size: 3082356
dataset_size: 6842638
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
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|
xreborn/ds2 | xreborn | 2023-12-13T13:55:34Z | 1 | 0 | [
"license:apache-2.0",
"region:us"
]
| null | 2023-12-13T13:55:19Z | ---
license: apache-2.0
---
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|
hlhdatscience/cazalla_bioner | hlhdatscience | 2023-12-14T10:08:00Z | 1 | 0 | [
"task_categories:text-classification",
"size_categories:1K<n<10K",
"language:es",
"license:apache-2.0",
"region:us"
]
| [
"text-classification"
]
| 2023-12-13T16:08:00Z | ---
dataset_info:
features:
- name: sentence
dtype: string
- name: tags
dtype: string
- name: source
dtype: string
- name: __index_level_0__
dtype: int64
splits:
- name: train
num_bytes: 1397124
num_examples: 1952
- name: test
num_bytes: 397471
num_examples: 558
- name: evaluation
num_bytes: 187077
num_examples: 280
download_size: 537038
dataset_size: 1981672
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: test
path: data/test-*
- split: evaluation
path: data/evaluation-*
license: apache-2.0
task_categories:
- text-classification
language:
- es
size_categories:
- 1K<n<10K
---
# Dataset Card for Dataset Name
This dataset is based on the work detailed at [D4R project](https://d4r.hypotheses.org/).
It is a BIONER dataset curated by human reviers as well as augmented with GPT4 engine. It was tokenized with NLTK.
The dataset is designed to perform Named Entity Recognition (NER) for Humanities and Religious History.
### Dataset Description
- **Curated** by [Héctor López Hidalgo](https://www.linkedin.com/in/hlh-generative-ai/)
- **Funded** by [D4R](https://d4r.hypotheses.org/)
- **Shared** by [Héctor López Hidalgo](https://www.linkedin.com/in/hlh-generative-ai/)
- **Language(s)** (NLP): [Spanish]
- **License:** [Apache 2.0]
## Uses
### Direct Use
The dataset can be directly used for training and evaluating Named Entity Recognition models specific to Humanities and Religious History.
### Out-of-Scope Use
The dataset is not suitable for applications outside the scope of Humanities and Religious History NER.
## Dataset Structure
The dataset is organized into labeled examples for Named Entity Recognition, with entities annotated and tokenized sentences.
## Dataset Creation
### Curation Rationale
The dataset was curated to address the need for specialized Named Entity Recognition in the domains of Humanities and Religious History. The combination of human reviewers and GPT-4 augmentation aimed to provide a diverse and comprehensive dataset.
### Source Data
#### Data Collection and Processing
The source data for the dataset was collected from various historical and religious texts relevant to the specified domains. NLTK was used for tokenization.
[More Information Needed]
#### Who are the source data producers?
The source data producers include historians, religious scholars, and relevant experts in the field working at D4R proyect.
### Annotations
<!-- If the dataset contains annotations which are not part of the initial data collection, use this section to describe them. -->
#### Annotation process
Annotations were performed by human reviewers with expertise in Humanities and Religious History. GPT-4 engine was also employed for additional augmentation.
[More Information Needed]
#### Who are the annotators?
Annotations were conducted by a team of expert annotators with backgrounds in Humanities and Religious History.
[More Information Needed]
#### Personal and Sensitive Information
The dataset does not contain personal or sensitive information.
[More Information Needed]
## Bias, Risks, and Limitations
Users should be aware that biases may exist in historical and religious texts, which can be reflected in the dataset. Limitations include potential biases in the augmentation process.
[More Information Needed]
### Recommendations
Users should be made aware of the dataset's limitations and biases. Careful consideration is advised when applying models trained on this dataset in real-world applications.
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|
hesamqqq111/WaterBodiesDataset | hesamqqq111 | 2023-12-13T17:13:07Z | 1 | 0 | [
"license:apache-2.0",
"region:us"
]
| null | 2023-12-13T17:13:07Z | ---
license: apache-2.0
---
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|
IBM-DTT/telephonica_blueprism-starcoder_v4 | IBM-DTT | 2023-12-13T18:44:08Z | 1 | 0 | [
"region:us"
]
| null | 2023-12-13T18:44:07Z | ---
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
dataset_info:
features:
- name: messages
dtype: string
splits:
- name: train
num_bytes: 771588
num_examples: 1015
download_size: 107251
dataset_size: 771588
---
# Dataset Card for "telephonica_blueprism-starcoder_v4"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | [
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|
T-Almeida/Pubmed2023-baseline-neox-tokenized-len | T-Almeida | 2023-12-13T19:07:16Z | 1 | 0 | [
"region:us"
]
| null | 2023-12-13T18:49:29Z | ---
dataset_info:
features:
- name: id
dtype: string
- name: input_ids
sequence: int32
- name: attention_mask
sequence: int8
- name: length
dtype: int64
splits:
- name: train
num_bytes: 33459575717
num_examples: 22522740
download_size: 14089336992
dataset_size: 33459575717
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
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|
SofiaVouzika/Liver_Tumor | SofiaVouzika | 2023-12-15T16:46:01Z | 1 | 0 | [
"region:us"
]
| null | 2023-12-13T19:47:22Z | ---
dataset_info:
features:
- name: image
dtype: image
- name: label
dtype:
class_label:
names:
'0': 'No'
'1': 'Yes'
splits:
- name: train
num_bytes: 355932504.572
num_examples: 4236
download_size: 341300195
dataset_size: 355932504.572
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
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|
danielmalencar/danielmelo | danielmalencar | 2023-12-13T20:53:02Z | 1 | 0 | [
"license:mit",
"region:us"
]
| null | 2023-12-13T20:53:02Z | ---
license: mit
---
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|
rjcarne/rc-custom-copilot | rjcarne | 2023-12-14T01:33:00Z | 1 | 0 | [
"region:us"
]
| null | 2023-12-13T21:30:12Z | ---
dataset_info:
features:
- name: repo_id
dtype: string
- name: file_path
dtype: string
- name: content
dtype: string
- name: __index_level_0__
dtype: int64
splits:
- name: train
num_bytes: 15269268
num_examples: 554
download_size: 4948949
dataset_size: 15269268
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
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|
Salesforce/summedits | Salesforce | 2023-12-14T00:28:05Z | 1 | 4 | [
"task_categories:text-classification",
"task_categories:summarization",
"size_categories:1K<n<10K",
"language:en",
"license:cc-by-4.0",
"biology",
"finance",
"legal",
"medical",
"region:us"
]
| [
"text-classification",
"summarization"
]
| 2023-12-13T23:05:18Z | ---
license: cc-by-4.0
task_categories:
- text-classification
- summarization
language:
- en
tags:
- biology
- finance
- legal
- medical
pretty_name: SummEdits
size_categories:
- 1K<n<10K
---
# Factual Consistency in Summarization
Can you tell which edits of summaries are consistent, and which are inconsistent?
<p align="center">
<img width="650" src="https://raw.githubusercontent.com/salesforce/factualNLG/master/images/summedits_examples.png">
</p>
## SummEdits Benchmark (Section 6-7)
We release the 6,348 samples of data for the 10 domains in the SummEdits. Each sample has entries for:
- `domain`: out of the 10 domains in SummEdits,
- `id`: a unique ID for the sample,
- `doc`: the input document,
- `summary`: the summary that is either consistent or inconsistent with the facts in the document,
- `label`: 1 if the summary is factually consistent, and 0 otherwise,
- `seed_summary`: the (consistent) seed summary that was used as a starting point for the summary,
- `edit_types`: for summaries that are inconsistent, corresponds to GPT4 classified type of error.
For more detail on the data loading and benchmarking, we recommend you check out the Github repo: [https://github.com/salesforce/factualNLG](https://github.com/salesforce/factualNLG)
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|
HelloFriend22/test_py | HelloFriend22 | 2023-12-14T04:30:25Z | 1 | 0 | [
"region:us"
]
| null | 2023-12-14T01:31:32Z | ---
dataset_info:
features:
- name: query
dtype: string
- name: response
dtype: string
- name: type
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_diversity
dtype: int64
splits:
- name: train
num_bytes: 210007
num_examples: 100
download_size: 100837
dataset_size: 210007
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
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|
davidgaofc/RM_inout_bal | davidgaofc | 2023-12-14T03:33:59Z | 1 | 0 | [
"region:us"
]
| null | 2023-12-14T03:28:57Z | ---
dataset_info:
features:
- name: Text
dtype: string
- name: Label
dtype: int64
splits:
- name: train
num_bytes: 433846.3841463415
num_examples: 910
download_size: 193172
dataset_size: 433846.3841463415
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
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|
davidgaofc/PRIMA_inout_bal | davidgaofc | 2023-12-14T03:59:26Z | 1 | 0 | [
"region:us"
]
| null | 2023-12-14T03:58:41Z | ---
dataset_info:
features:
- name: Text
dtype: string
- name: Label
dtype: int64
splits:
- name: train
num_bytes: 711851.3841463415
num_examples: 910
download_size: 250175
dataset_size: 711851.3841463415
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
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|
DataStudio/OCR_RenderNoise | DataStudio | 2023-12-14T08:04:12Z | 1 | 0 | [
"region:us"
]
| null | 2023-12-14T06:50:03Z | ---
dataset_info:
features:
- name: image
dtype: image
- name: text
dtype: string
splits:
- name: dropout_horizontal
num_bytes: 220695240.0
num_examples: 20000
- name: dropout_rand
num_bytes: 217973517.0
num_examples: 20000
- name: dropout_vertical
num_bytes: 222345055.0
num_examples: 20000
- name: emboss
num_bytes: 390259949.0
num_examples: 20000
- name: enum
num_bytes: 225636155.0
num_examples: 20000
- name: rand_dropout_vertical
num_bytes: 213445956.0
num_examples: 20000
download_size: 1488160973
dataset_size: 1490355872.0
configs:
- config_name: default
data_files:
- split: dropout_horizontal
path: data/dropout_horizontal-*
- split: dropout_rand
path: data/dropout_rand-*
- split: dropout_vertical
path: data/dropout_vertical-*
- split: emboss
path: data/emboss-*
- split: enum
path: data/enum-*
- split: rand_dropout_vertical
path: data/rand_dropout_vertical-*
---
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|
SAGI-1/d_data | SAGI-1 | 2023-12-14T11:31:08Z | 1 | 0 | [
"region:us"
]
| null | 2023-12-14T11:27:14Z | ---
dataset_info:
features:
- name: text
dtype: string
splits:
- name: train
num_bytes: 422960
num_examples: 1061
download_size: 112753
dataset_size: 422960
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
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|
DragonLine/ksponspeech_04 | DragonLine | 2023-12-14T14:26:40Z | 1 | 0 | [
"region:us"
]
| null | 2023-12-14T14:09:47Z | ---
dataset_info:
features:
- name: audio
dtype:
audio:
sampling_rate: 16000
- name: transcripts
dtype: string
splits:
- name: train
num_bytes: 17609433455.2
num_examples: 99200
- name: test
num_bytes: 2152518506.7
num_examples: 12400
- name: valid
num_bytes: 2326954936.3
num_examples: 12400
download_size: 20778654985
dataset_size: 22088906898.2
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: test
path: data/test-*
- split: valid
path: data/valid-*
---
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|
AiresPucrs/model_details | AiresPucrs | 2023-12-14T15:43:58Z | 1 | 0 | [
"license:mit",
"region:us"
]
| null | 2023-12-14T15:43:39Z | ---
license: mit
---
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|
StephanAkkerman/stock-market-tweets-data | StephanAkkerman | 2023-12-14T16:12:15Z | 1 | 2 | [
"size_categories:100K<n<1M",
"language:en",
"license:cc-by-4.0",
"finance",
"stock",
"stocks",
"stock market",
"tweets",
"twitter",
"X",
"region:us"
]
| null | 2023-12-14T16:09:05Z | ---
license: cc-by-4.0
language:
- en
tags:
- finance
- stock
- stocks
- stock market
- tweets
- twitter
- X
pretty_name: Stock Market Tweets Data
size_categories:
- 100K<n<1M
--- | [
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|
sproos/scifact-de | sproos | 2023-12-14T17:52:57Z | 1 | 0 | [
"region:us"
]
| null | 2023-12-14T17:20:33Z | ---
configs:
- config_name: default
data_files:
- split: queries
path: data/queries-*
- split: corpus
path: data/corpus-*
dataset_info:
features:
- name: _id
dtype: string
- name: title
dtype: string
- name: text
dtype: string
splits:
- name: queries
num_bytes: 134678
num_examples: 1109
- name: corpus
num_bytes: 9082081
num_examples: 5183
download_size: 78703
dataset_size: 9216759
---
# Dataset Card for "scifact-de"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | [
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|
sproos/scifact-fr | sproos | 2023-12-14T17:53:05Z | 1 | 0 | [
"region:us"
]
| null | 2023-12-14T17:21:05Z | ---
configs:
- config_name: default
data_files:
- split: queries
path: data/queries-*
- split: corpus
path: data/corpus-*
dataset_info:
features:
- name: _id
dtype: string
- name: title
dtype: string
- name: text
dtype: string
splits:
- name: queries
num_bytes: 143388
num_examples: 1109
- name: corpus
num_bytes: 9644079
num_examples: 5183
download_size: 78989
dataset_size: 9787467
---
# Dataset Card for "scifact-fr"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | [
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|
sproos/scifact-tr | sproos | 2023-12-14T17:53:15Z | 1 | 0 | [
"region:us"
]
| null | 2023-12-14T17:53:05Z | ---
configs:
- config_name: default
data_files:
- split: queries
path: data/queries-*
- split: corpus
path: data/corpus-*
dataset_info:
features:
- name: _id
dtype: string
- name: title
dtype: string
- name: text
dtype: string
splits:
- name: queries
num_bytes: 127556
num_examples: 1109
- name: corpus
num_bytes: 8508647
num_examples: 5183
download_size: 4919883
dataset_size: 8636203
---
# Dataset Card for "scifact-tr"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | [
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|
sproos/scifact-sw | sproos | 2023-12-14T17:53:23Z | 1 | 0 | [
"region:us"
]
| null | 2023-12-14T17:53:15Z | ---
configs:
- config_name: default
data_files:
- split: queries
path: data/queries-*
- split: corpus
path: data/corpus-*
dataset_info:
features:
- name: _id
dtype: string
- name: title
dtype: string
- name: text
dtype: string
splits:
- name: queries
num_bytes: 129302
num_examples: 1109
- name: corpus
num_bytes: 8340904
num_examples: 5183
download_size: 4592158
dataset_size: 8470206
---
# Dataset Card for "scifact-sw"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | [
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|
davidgaofc/PriMa5_inout_bal_train | davidgaofc | 2023-12-14T18:09:33Z | 1 | 0 | [
"region:us"
]
| null | 2023-12-14T17:55:28Z | ---
dataset_info:
features:
- name: Text
dtype: string
- name: Label
dtype: int64
splits:
- name: train
num_bytes: 811918
num_examples: 910
download_size: 313751
dataset_size: 811918
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
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|
pixparse/cc3m-wds | pixparse | 2023-12-15T01:42:07Z | 1 | 1 | [
"task_categories:image-to-text",
"size_categories:1M<n<10M",
"license:other",
"region:us"
]
| [
"image-to-text"
]
| 2023-12-14T18:06:04Z | ---
license: other
license_name: conceptual-captions
license_link: >-
https://github.com/google-research-datasets/conceptual-captions/blob/master/LICENSE
task_categories:
- image-to-text
size_categories:
- 1M<n<10M
---
# Dataset Card for Conceptual Captions (CC3M)
## Table of Contents
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Additional Information](#additional-information)
- [Dataset Curators](#dataset-curators)
- [Licensing Information](#licensing-information)
- [Citation Information](#citation-information)
## Dataset Description
- **Homepage:** [Conceptual Captions homepage](https://ai.google.com/research/ConceptualCaptions/)
- **Repository:** [Conceptual Captions repository](https://github.com/google-research-datasets/conceptual-captions)
- **Paper:** [Conceptual Captions: A Cleaned, Hypernymed, Image Alt-text Dataset For Automatic Image Captioning](https://www.aclweb.org/anthology/P18-1238/)
- **Leaderboard:** [Conceptual Captions leaderboard](https://ai.google.com/research/ConceptualCaptions/competition?active_tab=leaderboard)https://ai.google.com/research/ConceptualCaptions/leaderboard?active_tab=leaderboard
- **Point of Contact:** [Conceptual Captions e-mail](mailto:[email protected])
### Dataset Summary
Conceptual Captions is a dataset consisting of ~3.3M images annotated with captions. In contrast with the curated style of other image caption annotations, Conceptual Caption images and their raw descriptions are harvested from the web, and therefore represent a wider variety of styles. More precisely, the raw descriptions are harvested from the Alt-text HTML attribute associated with web images. To arrive at the current version of the captions, we have developed an automatic pipeline that extracts, filters, and transforms candidate image/caption pairs, with the goal of achieving a balance of cleanliness, informativeness, fluency, and learnability of the resulting captions.
### Usage
This instance of Conceptual Captions is in [webdataset](https://github.com/webdataset/webdataset/commits/main) .tar format. It can be used with webdataset library or upcoming releases of Hugging Face `datasets`.
...More Detail TBD
### Data Splits
This dataset was downloaded using img2dataset. Images resized on download if shortest edge > 512 to shortest edge = 512.
#### Train
* `cc3m-train-*.tar`
* Downloaded on 2021/12/22
* 576 shards, 2905954 (of 3318333) samples
#### Validation
* `cc3m-validation-*.tar`
* Downloaded on 2023/12/13 (original validation set download in 2021 was corrupted)
* 16 shards, 13443 (of 15840) samples
## Additional Information
### Dataset Curators
Piyush Sharma, Nan Ding, Sebastian Goodman and Radu Soricut.
### Licensing Information
The dataset may be freely used for any purpose, although acknowledgement of
Google LLC ("Google") as the data source would be appreciated. The dataset is
provided "AS IS" without any warranty, express or implied. Google disclaims all
liability for any damages, direct or indirect, resulting from the use of the
dataset.
### Citation Information
```bibtex
@inproceedings{sharma2018conceptual,
title = {Conceptual Captions: A Cleaned, Hypernymed, Image Alt-text Dataset For Automatic Image Captioning},
author = {Sharma, Piyush and Ding, Nan and Goodman, Sebastian and Soricut, Radu},
booktitle = {Proceedings of ACL},
year = {2018},
}
``` | [
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|
gorkemsevinc/clean-emoji | gorkemsevinc | 2023-12-14T21:47:12Z | 1 | 0 | [
"region:us"
]
| null | 2023-12-14T20:46:40Z | ---
dataset_info:
features:
- name: text
dtype: string
- name: text_stemmed
dtype: string
- name: cleaned_text
dtype: string
splits:
- name: train
num_bytes: 1028717114
num_examples: 3982937
download_size: 604349012
dataset_size: 1028717114
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
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|
iloncka/mosal | iloncka | 2023-12-14T22:15:55Z | 1 | 0 | [
"license:apache-2.0",
"region:us"
]
| null | 2023-12-14T21:43:00Z | ---
license: apache-2.0
---
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|
sine2x/mini-platypus | sine2x | 2023-12-14T23:18:02Z | 1 | 0 | [
"region:us"
]
| null | 2023-12-14T23:17:57Z | ---
dataset_info:
features:
- name: instruction
dtype: string
- name: output
dtype: string
splits:
- name: train
num_bytes: 4201526
num_examples: 1000
download_size: 2247080
dataset_size: 4201526
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
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|
projecte-aina/festcat_trimmed_denoised | projecte-aina | 2023-12-15T16:28:37Z | 1 | 0 | [
"task_categories:text-to-speech",
"annotations_creators:no-annotation",
"language_creators:crowdsourced",
"multilinguality:monolingual",
"size_categories:10K<n<100K",
"source_datasets:openslr",
"language:ca",
"license:cc-by-sa-4.0",
"arxiv:2202.07790",
"region:us"
]
| [
"text-to-speech"
]
| 2023-12-15T01:19:14Z | ---
annotations_creators:
- no-annotation
language_creators:
- crowdsourced
language:
- ca
license:
- cc-by-sa-4.0
multilinguality:
- monolingual
size_categories:
- 10K<n<100K
source_datasets: openslr
task_categories:
- text-to-speech
task_ids: []
pretty_name: openslr-slr69-ca-reviewed
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
dataset_info:
features:
- name: audio
dtype: audio
- name: transcription
dtype: string
splits:
- name: train
num_bytes: 811311975.4
num_examples: 4240
download_size: 721217811
dataset_size: 811311975.4
---
# Dataset Card for festcat_trimmed_denoised
This is a post-processed version of the Catalan Festcat speech dataset. The data can be found [here](http://festcat.talp.cat/ca/download-legacy.php).
## Dataset Details
### Dataset Description
We processed the data of the Catalan Festcat with the following recipe:
- **Trimming:** Long silences from the start and the end of clips have been removed.
- [py-webrtcvad](https://pypi.org/project/webrtcvad/) -> Python interface to the Voice Activity Detector (VAD) developed by Google for the WebRTC.
- **Resampling:** From 48000 Hz to 22050 Hz, which is the most common sampling rate for training TTS models
- Resampler from [CoquiTTS](https://github.com/coqui-ai/TTS/tree/dev) framework
- **De-noising:** Although base quality of the audios is high, we could remove some background noise and small artifcats thanks to the CleanUNet denoiser developed by NVIDIA.
- [CleanUNet](https://github.com/NVIDIA/CleanUNet)
- [paper](https://arxiv.org/abs/2202.07790)
We kept the same number of wave files, also the original anonymized file names and transcriptions.
Same license is maintained:
Creative Commons Attribution-ShareAlike 3.0 Spain License.
To view a copy of this license, visit this [link](http://creativecommons.org/licenses/by-sa/3.0/es/).
## Uses
The purpose of this dataset is mainly for training text-to-speech and automatic speech recognition models in Catalan.
### Languages
The dataset is in Catalan (`ca-ES`).
## Dataset Structure
<!-- This section provides a description of the dataset fields, and additional information about the dataset structure such as criteria used to create the splits, relationships between data points, etc. -->
The dataset consists of a single split, providing audios and transcriptions:
```
DatasetDict({
train: Dataset({
features: ['audio', 'transcription'],
num_rows: 12435
})
})
```
Each data point is structured as:
```
>> data['train'][0]['audio']
{'path': 'upc_ca_eli_204478.wav', 'array': array([ 0.00000000e+00, 0.00000000e+00, -3.05175781e-05, ...,
0.00000000e+00, 0.00000000e+00, -3.05175781e-05]), 'sampling_rate': 22050}
>> data['train'][0]['transcription']
"Què potser el seu fill tenia l'endemà el matí lliure? Si era el cas, el podia convidar a jugar una partideta de golf."
```
### Dataset Splits
- <u>```audio (dict)```</u>: A dictionary containing the path to the downloaded audio file, the decoded audio array, and the sampling rate. Note that when accessing the audio column: dataset[0]["audio"] the audio file is automatically decoded and resampled to dataset.features["audio"].sampling_rate. Decoding and resampling of a large number of audio files might take a significant amount of time. Thus, it is important to first query the sample index before the "audio" column, i.e. dataset[0]["audio"] should always be preferred over dataset["audio"][0].
* path (str): The path to the audio file.
* array (array): Decoded audio array.
* sampling_rate (int): Audio sampling rate.
- <u>```transcription (str)```</u>: The sentence the user was prompted to speak.
## Dataset Creation
### Source Data
<!-- This section describes the source data (e.g. news text and headlines, social media posts, translated sentences, ...). -->
#### Data Collection and Processing
<!-- This section describes the data collection and processing process such as data selection criteria, filtering and normalization methods, tools and libraries used, etc. -->
#### Who are the source data producers?
Format: http://www.debian.org/doc/packaging-manuals/copyright-format/1.0/
Upstream-Name: FestCat
Upstream-Contact: Sergio Oller <[email protected]>, Antonio Bonafonte <[email protected]>
Source: http://festcat.talp.cat
Copyright: 2007-2012, Antonio Bonafonte
2007-2012, Universitat Politècnica de Catalunya
2007-2012, Sergio Oller <[email protected]>
License: LGPL-2.1
### Annotations [optional]
<!-- If the dataset contains annotations which are not part of the initial data collection, use this section to describe them. -->
#### Personal and Sensitive Information
<!-- State whether the dataset contains data that might be considered personal, sensitive, or private (e.g., data that reveals addresses, uniquely identifiable names or aliases, racial or ethnic origins, sexual orientations, religious beliefs, political opinions, financial or health data, etc.). If efforts were made to anonymize the data, describe the anonymization process. -->
## Bias, Risks, and Limitations
<!-- This section is meant to convey both technical and sociotechnical limitations. -->
### Recommendations
<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
Users should be made aware of the risks, biases and limitations of the dataset. More information needed for further recommendations.
## Citation
These are the relevant publications related to the creation and development of the festcat dataset:
```
@inproceedings{bonafonte2008corpus,
title={Corpus and Voices for Catalan Speech Synthesis.},
author={Bonafonte, Antonio and Adell, Jordi and Esquerra, Ignasi and Gallego, Silvia and Moreno, Asunci{\'o}n and P{\'e}rez, Javier},
booktitle={LREC},
year={2008}
}
```
```
@article{bonafonte2009recent,
title={Recent work on the FESTCAT database for speech synthesis},
author={Bonafonte, Antonio and Aguilar, Lourdes and Esquerra, Ignasi and Oller, Sergio and Moreno, Asunci{\'o}n},
journal={Proc. SLTECH},
pages={131--132},
year={2009}
}
```
```
@article{gallego2010corpus,
title={Corpus ling{\"u}{\'\i}stic pel desenvolupament d'una veu sint{\`e}tica en catal{\`a} per a Festival},
author={Gallego Gonz{\`a}lez, Silvia},
year={2010},
publisher={Universitat Polit{\`e}cnica de Catalunya}
}
```
```
@phdthesis{moyano2007desenvolupament,
title={Desenvolupament d'una veu en catal{\`a} per a Festival},
author={Moyano, Francesc Jarque},
year={2007}
}
```
**APA:**
## Glossary [optional]
<!-- If relevant, include terms and calculations in this section that can help readers understand the dataset or dataset card. -->
## More Information [optional]
## Dataset Card Authors [optional]
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|
davidgaofc/PRIMA5_inout5050 | davidgaofc | 2023-12-15T03:36:21Z | 1 | 0 | [
"region:us"
]
| null | 2023-12-15T03:36:20Z | ---
dataset_info:
features:
- name: Text
dtype: string
- name: Label
dtype: int64
splits:
- name: train
num_bytes: 1477277
num_examples: 1640
download_size: 539936
dataset_size: 1477277
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
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|
Tippawan/test2-data-semi-trainulb-r2-WLV | Tippawan | 2023-12-15T07:33:14Z | 1 | 0 | [
"region:us"
]
| null | 2023-12-15T07:33:10Z | ---
dataset_info:
features:
- name: tokens
sequence: string
- name: ner_tags
sequence: int64
- name: prob
sequence: float64
- name: ifpass
sequence: int64
- name: pred
dtype: int64
- name: __index_level_0__
dtype: int64
splits:
- name: train
num_bytes: 85135098
num_examples: 39712
download_size: 15948539
dataset_size: 85135098
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
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|
Arthuerwang/finetune_lora_pikachu_5 | Arthuerwang | 2023-12-15T08:44:20Z | 1 | 0 | [
"region:us"
]
| null | 2023-12-15T08:44:18Z | ---
dataset_info:
features:
- name: image
dtype: string
- name: text
dtype: string
splits:
- name: train
num_bytes: 608
num_examples: 5
download_size: 2038
dataset_size: 608
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
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|
bowphs/cc-100-01-percent-untokenized | bowphs | 2023-12-15T10:59:14Z | 1 | 0 | [
"region:us"
]
| null | 2023-12-15T10:45:32Z | ---
dataset_info:
features:
- name: id
dtype: string
- name: text
dtype: string
splits:
- name: train
num_bytes: 29257739786
num_examples: 147182603
download_size: 22427356397
dataset_size: 29257739786
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
# Dataset Card for "cc-100-01-percent-untokenized"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | [
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|
ahmed-ai/MediLibrary | ahmed-ai | 2023-12-15T12:29:50Z | 1 | 0 | [
"license:mit",
"region:us"
]
| null | 2023-12-15T11:42:45Z | ---
license: mit
dataset_info:
features:
- name: text
dtype: string
splits:
- name: train
num_bytes: 84917387
num_examples: 376607
download_size: 46088263
dataset_size: 84917387
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
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|
amunozo/openlegaldata | amunozo | 2023-12-15T17:09:59Z | 1 | 0 | [
"region:us"
]
| null | 2023-12-15T17:08:52Z | ---
dataset_info:
features:
- name: id
dtype: int64
- name: slug
dtype: string
- name: court
struct:
- name: id
dtype: int64
- name: name
dtype: string
- name: slug
dtype: string
- name: city
dtype: int64
- name: state
dtype: int64
- name: jurisdiction
dtype: string
- name: level_of_appeal
dtype: string
- name: file_number
dtype: string
- name: date
dtype: timestamp[s]
- name: created_date
dtype: timestamp[s]
- name: updated_date
dtype: timestamp[s]
- name: type
dtype: string
- name: ecli
dtype: string
- name: content
dtype: string
splits:
- name: train
num_bytes: 3436956243
num_examples: 104763
download_size: 1344880133
dataset_size: 3436956243
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
# Dataset Card for "old_cases"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | [
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|
EricWiener/llm4html-descgen | EricWiener | 2023-12-15T18:13:48Z | 1 | 0 | [
"task_categories:text-classification",
"language:en",
"code",
"arxiv:2210.03945",
"region:us"
]
| [
"text-classification"
]
| 2023-12-15T17:58:12Z | ---
task_categories:
- text-classification
language:
- en
tags:
- code
---
The dataset comes from [the original paper upload](https://console.cloud.google.com/storage/browser/gresearch/webllm/datasets/descgen) which was uploaded in a RecordIO format.
See the original paper [Understanding HTML with Large Language Models](https://arxiv.org/abs/2210.03945) for more details. | [
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|
kristmh/low_vs_random | kristmh | 2023-12-16T05:09:56Z | 1 | 0 | [
"region:us"
]
| null | 2023-12-16T05:09:19Z | ---
configs:
- config_name: default
data_files:
- split: test
path: data/test-*
- split: train
path: data/train-*
- split: validate
path: data/validate-*
dataset_info:
features:
- name: text_clean
dtype: string
- name: labels
dtype: int64
- name: class
dtype: string
- name: __index_level_0__
dtype: int64
splits:
- name: test
num_bytes: 19739399
num_examples: 24512
- name: train
num_bytes: 158958252
num_examples: 196090
- name: validate
num_bytes: 19103258
num_examples: 24511
download_size: 97810741
dataset_size: 197800909
---
# Dataset Card for "low_vs_random"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | [
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|
asthalochan/American_Sign_Language | asthalochan | 2023-12-16T06:59:15Z | 1 | 0 | [
"license:apache-2.0",
"region:us"
]
| null | 2023-12-16T06:55:22Z | ---
license: apache-2.0
---
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|
cranemont/embedding-tutorial-dataset | cranemont | 2023-12-16T09:10:10Z | 1 | 0 | [
"license:mit",
"region:us"
]
| null | 2023-12-16T09:09:40Z | ---
license: mit
---
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|
hiltch/pandas-create-context | hiltch | 2023-12-16T10:25:21Z | 1 | 0 | [
"task_categories:text-generation",
"task_categories:question-answering",
"task_categories:table-question-answering",
"size_categories:n<1K",
"language:en",
"license:cc-by-4.0",
"pandas",
"code",
"NLP",
"text-to-pandas",
"context-pandas",
"spider",
"wikisql",
"region:us"
]
| [
"text-generation",
"question-answering",
"table-question-answering"
]
| 2023-12-16T09:45:45Z | ---
license: cc-by-4.0
task_categories:
- text-generation
- question-answering
- table-question-answering
language:
- en
tags:
- pandas
- code
- NLP
- text-to-pandas
- context-pandas
- spider
- wikisql
pretty_name: pandas-create-context
size_categories:
- n<1K
---
#### Overview
This dataset is built from [sql-create-context](https://huggingface.co/datasets/b-mc2/sql-create-context), which in itself builds from [WikiSQL](https://huggingface.co/datasets/wikisql) and [Spider](https://huggingface.co/datasets/spider).
I have used GPT4 to translate the SQL schema into pandas DataFrame schem initialization statements and to translate the SQL queries into pandas queries.
There are 862 examples of natural language queries, pandas DataFrame creation statements, and pandas query answering the question using the DataFrame creation statement as context. This dataset was built with text-to-pandas LLMs in mind.
#### TODO
- Further transform examples from sql_create_context
- Manually fix some examples that don't make sense
Random sample:
```json
{
"question": "What is the election year when the # of candidates nominated was 262?",
"context": "df = pd.DataFrame(columns=['election', '_number_of_candidates_nominated'])",
"answer": "df[df['_number_of_candidates_nominated'] == 262]['election'].count()"
},
{
"question": "What was the lowest # of total votes?",
"context": "df = pd.DataFrame(columns=['_number_of_total_votes'])",
"answer": "df['_number_of_total_votes'].min()"
},
``` | [
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|
rehaidib/tokenized-codeparrot-train | rehaidib | 2023-12-16T15:25:40Z | 1 | 0 | [
"region:us"
]
| null | 2023-12-16T12:09:40Z | ---
dataset_info:
features:
- name: input_ids
sequence: int32
- name: ratio_char_token
dtype: float64
splits:
- name: train
num_bytes: 57725193148
num_examples: 5300000
download_size: 24089318456
dataset_size: 57725193148
---
# Dataset Card for "tokenized-codeparrot-train"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | [
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|
bn22/albanian-corpora-bert-tokenized-2k-mistral | bn22 | 2023-12-16T14:52:54Z | 1 | 0 | [
"region:us"
]
| null | 2023-12-16T14:50:39Z | ---
dataset_info:
features:
- name: input_ids
sequence: int32
- name: attention_mask
sequence: int8
- name: labels
sequence: int64
splits:
- name: train
num_bytes: 5415817972
num_examples: 203327
download_size: 1194241154
dataset_size: 5415817972
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
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|
Sofoklis/rna_black | Sofoklis | 2023-12-16T18:00:20Z | 1 | 0 | [
"region:us"
]
| null | 2023-12-16T18:00:15Z | ---
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: image
dtype: image
- name: caption
dtype: string
- name: name
dtype: string
- name: sequence
dtype: string
splits:
- name: train
num_bytes: 4195.0
num_examples: 15
- name: validation
num_bytes: 842.0
num_examples: 3
- name: test
num_bytes: 560.0
num_examples: 2
download_size: 13293
dataset_size: 5597.0
---
# Dataset Card for "rna_black"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | [
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|
timm/objectnet | timm | 2023-12-17T00:54:13Z | 1 | 0 | [
"task_categories:image-classification",
"size_categories:10K<n<100K",
"license:other",
"region:us"
]
| [
"image-classification"
]
| 2023-12-16T19:16:24Z | ---
dataset_info:
features:
- name: image
dtype: image
- name: label
dtype:
class_label:
names:
'0': air_freshener
'1': alarm_clock
'2': backpack
'3': baking_sheet
'4': banana
'5': band_aid
'6': baseball_bat
'7': baseball_glove
'8': basket
'9': bathrobe
'10': battery
'11': bed_sheet
'12': beer_bottle
'13': beer_can
'14': belt
'15': bench
'16': bicycle
'17': bike_pump
'18': bills_money
'19': binder_closed
'20': biscuits
'21': blanket
'22': blender
'23': blouse
'24': board_game
'25': book_closed
'26': bookend
'27': boots
'28': bottle_cap
'29': bottle_opener
'30': bottle_stopper
'31': box
'32': bracelet
'33': bread_knife
'34': bread_loaf
'35': briefcase
'36': brooch
'37': broom
'38': bucket
'39': butchers_knife
'40': butter
'41': button
'42': calendar
'43': can_opener
'44': candle
'45': canned_food
'46': cd_case
'47': cellphone
'48': cellphone_case
'49': cellphone_charger
'50': cereal
'51': chair
'52': cheese
'53': chess_piece
'54': chocolate
'55': chopstick
'56': clothes_hamper
'57': clothes_hanger
'58': coaster
'59': coffee_beans
'60': coffee_french_press
'61': coffee_grinder
'62': coffee_machine
'63': coffee_table
'64': coin_money
'65': comb
'66': combination_lock
'67': computer_mouse
'68': contact_lens_case
'69': cooking_oil_bottle
'70': cork
'71': cutting_board
'72': deodorant
'73': desk_lamp
'74': detergent
'75': dish_soap
'76': document_folder_closed
'77': dog_bed
'78': doormat
'79': drawer_open
'80': dress
'81': dress_pants
'82': dress_shirt
'83': dress_shoe_men
'84': dress_shoe_women
'85': drill
'86': drinking_cup
'87': drinking_straw
'88': drying_rack_for_clothes
'89': drying_rack_for_dishes
'90': dust_pan
'91': dvd_player
'92': earbuds
'93': earring
'94': egg
'95': egg_carton
'96': envelope
'97': eraser_white_board
'98': extension_cable
'99': eyeglasses
'100': fan
'101': figurine_or_statue
'102': first_aid_kit
'103': flashlight
'104': floss_container
'105': flour_container
'106': fork
'107': frying_pan
'108': full_sized_towel
'109': glue_container
'110': hair_brush
'111': hair_dryer
'112': hairclip
'113': hairtie
'114': hammer
'115': hand_mirror
'116': hand_towel_or_rag
'117': handbag
'118': hat
'119': headphones_over_ear
'120': helmet
'121': honey_container
'122': ice
'123': ice_cube_tray
'124': iron_for_clothes
'125': ironing_board
'126': jam
'127': jar
'128': jeans
'129': kettle
'130': key_chain
'131': keyboard
'132': ladle
'133': lampshade
'134': laptop_charger
'135': laptop_open
'136': leaf
'137': leggings
'138': lemon
'139': letter_opener
'140': lettuce
'141': light_bulb
'142': lighter
'143': lipstick
'144': loofah
'145': magazine
'146': makeup
'147': makeup_brush
'148': marker
'149': match
'150': measuring_cup
'151': microwave
'152': milk
'153': mixing_salad_bowl
'154': monitor
'155': mouse_pad
'156': mouthwash
'157': mug
'158': multitool
'159': nail_clippers
'160': nail_fastener
'161': nail_file
'162': nail_polish
'163': napkin
'164': necklace
'165': newspaper
'166': night_light
'167': nightstand
'168': notebook
'169': notepad
'170': nut_for_screw
'171': orange
'172': oven_mitts
'173': padlock
'174': paint_can
'175': paintbrush
'176': paper
'177': paper_bag
'178': paper_plates
'179': paper_towel
'180': paperclip
'181': peeler
'182': pen
'183': pencil
'184': pepper_shaker
'185': pet_food_container
'186': phone_landline
'187': photograph_printed
'188': pill_bottle
'189': pill_organizer
'190': pillow
'191': pitcher
'192': placemat
'193': plastic_bag
'194': plastic_cup
'195': plastic_wrap
'196': plate
'197': playing_cards
'198': pliers
'199': plunger
'200': pop_can
'201': portable_heater
'202': poster
'203': power_bar
'204': power_cable
'205': printer
'206': raincoat
'207': rake
'208': razor
'209': receipt
'210': remote_control
'211': removable_blade
'212': ribbon
'213': ring
'214': rock
'215': rolling_pin
'216': ruler
'217': running_shoe
'218': safety_pin
'219': salt_shaker
'220': sandal
'221': scarf
'222': scissors
'223': screw
'224': scrub_brush
'225': sewing_kit
'226': shampoo_bottle
'227': shoelace
'228': shorts
'229': shovel
'230': skateboard
'231': skirt
'232': sleeping_bag
'233': slipper
'234': soap_bar
'235': soap_dispenser
'236': sock
'237': soup_bowl
'238': spatula
'239': speaker
'240': sponge
'241': spoon
'242': spray_bottle
'243': squeegee
'244': squeeze_bottle
'245': standing_lamp
'246': stapler
'247': step_stool
'248': still_camera
'249': stopper_sink_tub
'250': strainer
'251': stuffed_animal
'252': sugar_container
'253': suit_jacket
'254': suitcase
'255': sunglasses
'256': sweater
'257': swimming_trunks
'258': t-shirt
'259': table_knife
'260': tablecloth
'261': tablet_ipad
'262': tanktop
'263': tape
'264': tape_measure
'265': tarp
'266': teabag
'267': teapot
'268': tennis_racket
'269': thermometer
'270': thermos
'271': throw_pillow
'272': tie
'273': tissue
'274': toaster
'275': toilet_paper_roll
'276': tomato
'277': tongs
'278': toothbrush
'279': toothpaste
'280': tote_bag
'281': toy
'282': trash_bag
'283': trash_bin
'284': travel_case
'285': tray
'286': trophy
'287': tv
'288': tweezers
'289': umbrella
'290': usb_cable
'291': usb_flash_drive
'292': vacuum_cleaner
'293': vase
'294': video_camera
'295': walker
'296': walking_cane
'297': wallet
'298': watch
'299': water_bottle
'300': water_filter
'301': webcam
'302': weight_exercise
'303': weight_scale
'304': wheel
'305': whisk
'306': whistle
'307': wine_bottle
'308': wine_glass
'309': winter_glove
'310': wok
'311': wrench
'312': ziploc_bag
- name: imagenet_labels
sequence: int64
- name: imagenet_synsets
sequence: string
splits:
- name: test
num_bytes: 127647283245.571
num_examples: 50273
download_size: 125292547404
dataset_size: 127647283245.571
configs:
- config_name: default
data_files:
- split: test
path: data/test-*
license: other
task_categories:
- image-classification
pretty_name: ObjectNet
size_categories:
- 10K<n<100K
extra_gated_prompt: 'By clicking on “Access repository” below, you also agree to ObjectNet Terms:
ObjectNet is free to use for both research and commercial applications. The authors own the source images and allow their use under a license derived from Creative Commons Attribution 4.0 with only two additional clauses.
1. ObjectNet may never be used to tune the parameters of any model.
2. Any individual images from ObjectNet may only be posted to the web including their 1 pixel red border.
If you are using ObjectNet, please cite our work, the citation appears at the bottom of this page. Any derivative of ObjectNet must contain attribution as well.'
---
# ObjectNet
A webp (lossless) encoded version of [ObjectNet-1.0](https://objectnet.dev/index.html) at original resolution.
## License / Usage Terms
ObjectNet is free to use for both research and commercial applications. The authors own the source images and allow their use under a license derived from Creative Commons Attribution 4.0 with only two additional clauses.
1. **ObjectNet may never be used to tune the parameters of any model.**
2. **Any individual images from ObjectNet may only be posted to the web including their 1 pixel red border**.
If you are using ObjectNet, please cite our work, the citation appears at the bottom of this page. Any derivative of ObjectNet must contain attribution as well.
## About
What is ObjectNet?
* A new kind of vision dataset borrowing the idea of controls from other areas of science.
* No training set, only a test set! Put your vision system through its paces.
* Collected to intentionally show objects from new viewpoints on new backgrounds.
* 50,000 image test set, same as ImageNet, with controls for rotation, background, and viewpoint.
* 313 object classes with 113 overlapping ImageNet
* Large performance drop, what you can expect from vision systems in the real world!
* Robust to fine-tuning and a very difficult transfer learning problem
## Why the Red Borders / How do I recognize if an image is in ObjectNet?
As training sets become huge, the risk that test and training sets overlap is serious. We provide ObjectNet with a 2 pixel red border around each image which must be removed before performing inference. The ObjectNet license requires that if you post images from ObjectNet to the web, you include this border. Any time you see an image with a solid 2 pixel red border, that's an indication it's in someone's test set and you should be careful about training on it. Reverse image search will allow you to figure out which test set it is from.
NOTE: original ObjectNet PNG files actually have a 2 pixel red border while their descriptions say 1.
## Preprocessing Steps for This timm Version
1. Re-encode PNG images with lossless WebP (~32% reduction in size), keeping red border.
2. Add `imagenet_labels` and `imagenet_synsets` consisting of lists of ImageNet-1k classes that overlap with ObjectNet class.
## Citation
```bibtex
@incollection{NIPS2019_9142,
title = {ObjectNet: A large-scale bias-controlled dataset for pushing the limits of object recognition models},
author = {Barbu, Andrei and Mayo, David and Alverio, Julian and Luo, William and Wang, Christopher and Gutfreund, Dan and Tenenbaum, Josh and Katz, Boris},
booktitle = {Advances in Neural Information Processing Systems 32},
editor = {H. Wallach and H. Larochelle and A. Beygelzimer and F. d\textquotesingle Alch\'{e}-Buc and E. Fox and R. Garnett},
pages = {9448--9458},
year = {2019},
publisher = {Curran Associates, Inc.},
url = {http://papers.nips.cc/paper/9142-objectnet-a-large-scale-bias-controlled-dataset-for-pushing-the-limits-of-object-recognition-models.pdf}
}
``` | [
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|
DeepLearner101/ImageNetSelectedSubset | DeepLearner101 | 2023-12-16T21:44:39Z | 1 | 0 | [
"region:us"
]
| null | 2023-12-16T21:43:25Z | ---
dataset_info:
features:
- name: image
dtype: image
- name: label
dtype: int64
splits:
- name: train
num_bytes: 65872065.0
num_examples: 1760
- name: validation
num_bytes: 20151623.0
num_examples: 550
download_size: 85984601
dataset_size: 86023688.0
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: validation
path: data/validation-*
---
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|
fshala/8samples | fshala | 2023-12-16T23:10:35Z | 1 | 0 | [
"region:us"
]
| null | 2023-12-16T23:10:03Z | ---
dataset_info:
features:
- name: image
dtype: image
- name: label
dtype: image
splits:
- name: train
num_bytes: 13794666.0
num_examples: 8
download_size: 13733548
dataset_size: 13794666.0
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
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|
irmcon-org/autotrain-data-zesty | irmcon-org | 2023-12-17T00:03:14Z | 1 | 0 | [
"region:us"
]
| null | 2023-12-17T00:03:13Z | ---
dataset_info:
features:
- name: instruction
dtype: string
- name: input
dtype: string
- name: output
dtype: string
- name: autotrain_text
dtype: string
splits:
- name: train
num_bytes: 1685581
num_examples: 52002
- name: validation
num_bytes: 1685581
num_examples: 52002
download_size: 947908
dataset_size: 3371162
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: validation
path: data/validation-*
---
# Dataset Card for "autotrain-data-zesty"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | [
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|
realshyfox/DStyle500 | realshyfox | 2023-12-17T00:44:02Z | 1 | 0 | [
"license:llama2",
"region:us"
]
| null | 2023-12-17T00:35:50Z | ---
license: llama2
---
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|
TinyPixel/claude | TinyPixel | 2023-12-17T04:23:18Z | 1 | 0 | [
"region:us"
]
| null | 2023-12-17T04:11:53Z | ---
dataset_info:
features:
- name: id
dtype: string
- name: conversations
list:
- name: from
dtype: string
- name: value
dtype: string
- name: text
dtype: string
splits:
- name: train
num_bytes: 17793504
num_examples: 1609
download_size: 9518128
dataset_size: 17793504
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
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|
Parth/mini-platypus-two-parth | Parth | 2023-12-17T05:07:44Z | 1 | 0 | [
"region:us"
]
| null | 2023-12-17T05:07:43Z | ---
dataset_info:
features:
- name: instruction
dtype: string
- name: output
dtype: string
splits:
- name: train
num_bytes: 4186564
num_examples: 1000
download_size: 2245925
dataset_size: 4186564
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
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|
netcat420/quiklit | netcat420 | 2023-12-17T05:31:10Z | 1 | 0 | [
"license:mit",
"region:us"
]
| null | 2023-12-17T05:29:04Z | ---
license: mit
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|
iamnguyen/fqa | iamnguyen | 2023-12-17T06:15:07Z | 1 | 0 | [
"region:us"
]
| null | 2023-12-17T06:15:04Z | ---
dataset_info:
features:
- name: question
dtype: string
- name: answer
dtype: string
- name: vector
sequence: float64
- name: tokenized_question
dtype: string
splits:
- name: train
num_bytes: 2380872
num_examples: 178
download_size: 1966701
dataset_size: 2380872
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
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|
nadsoft/nadsoft-meetings-v2-enhanced | nadsoft | 2023-12-17T09:28:18Z | 1 | 0 | [
"region:us"
]
| null | 2023-12-17T09:27:57Z | ---
dataset_info:
features:
- name: audio
dtype: audio
- name: text
dtype: string
splits:
- name: train
num_bytes: 387902517.41638476
num_examples: 2732
- name: test
num_bytes: 20800064.29380764
num_examples: 152
- name: valid
num_bytes: 24249973.29380764
num_examples: 152
download_size: 402338021
dataset_size: 432952555.004
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: test
path: data/test-*
- split: valid
path: data/valid-*
---
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|
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