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---
dataset_info:
- config_name: bidCorpus_NER_keyphrase
features:
- name: tokens
sequence: string
- name: id
dtype: string
- name: ner_tags
sequence:
class_label:
names:
'0': O
'1': B-LOCAL
'2': I-LOCAL
'3': B-OBJETO
'4': I-OBJETO
splits:
- name: train
num_bytes: 3657983
num_examples: 1632
- name: test
num_bytes: 442382
num_examples: 204
- name: validation
num_bytes: 464585
num_examples: 204
download_size: 514441
dataset_size: 4564950
- config_name: bidCorpus_gold
features:
- name: text
dtype: string
- name: certidao_protesto
dtype: int64
- name: certificado_boas_praticas
dtype: int64
- name: comprovante_localizacao
dtype: int64
- name: idoneidade_financeira
dtype: int64
- name: integralizado
dtype: int64
- name: licenca_ambiental
dtype: int64
- name: n_min_max_limitacao_atestados
dtype: int64
splits:
- name: train
num_bytes: 10979027
num_examples: 1454
- name: test
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num_examples: 182
- name: validation
num_bytes: 1460916
num_examples: 182
download_size: 5647239
dataset_size: 13939689
- config_name: bidCorpus_object_similarity
features:
- name: objeto1
dtype: string
- name: nerObjeto1
dtype: string
- name: objeto2
dtype: string
- name: nerObjeto2
dtype: string
- name: humanScore
dtype: float64
- name: nerObjeto1_words
dtype: int64
- name: objeto1_words
dtype: int64
- name: percentual_words
dtype: float64
- name: nerObjeto2_words
dtype: int64
- name: objeto2_words
dtype: int64
- name: bertscore_ner
dtype: int64
- name: bertscore_objs
dtype: int64
splits:
- name: train
num_bytes: 2682850
num_examples: 1403
- name: test
num_bytes: 342301
num_examples: 176
- name: validation
num_bytes: 364743
num_examples: 175
download_size: 911048
dataset_size: 3389894
- config_name: bidCorpus_objects_correct_allowed
features:
- name: text
dtype: string
- name: corretude
dtype: int64
- name: permitido
dtype: int64
splits:
- name: train
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num_examples: 1089
- name: test
num_bytes: 278073
num_examples: 137
- name: validation
num_bytes: 326285
num_examples: 136
download_size: 1108156
dataset_size: 2341948
- config_name: bidCorpus_objects_type
features:
- name: text
dtype: string
- name: label
dtype: int64
splits:
- name: train
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num_examples: 1709
- name: test
num_bytes: 114336
num_examples: 214
- name: validation
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num_examples: 214
download_size: 484599
dataset_size: 1274529
- config_name: bidCorpus_qual_model
features:
- name: text
dtype: string
- name: certidao_protesto
dtype: int64
- name: certificado_boas_praticas
dtype: int64
- name: comprovante_localizacao
dtype: int64
- name: idoneidade_financeira
dtype: int64
- name: integralizado
dtype: int64
- name: licenca_ambiental
dtype: int64
- name: n_min_max_limitacao_atestados
dtype: int64
splits:
- name: train
num_bytes: 1567039880
num_examples: 177133
- name: test
num_bytes: 195995975
num_examples: 22142
- name: validation
num_bytes: 195098396
num_examples: 22142
download_size: 767641718
dataset_size: 1958134251
- config_name: bidCorpus_qual_weak_sup
features:
- name: text
dtype: string
- name: certidao_protesto
dtype: int64
- name: certificado_boas_praticas
dtype: int64
- name: comprovante_localizacao
dtype: int64
- name: idoneidade_financeira
dtype: int64
- name: integralizado
dtype: int64
- name: licenca_ambiental
dtype: int64
- name: n_min_max_limitacao_atestados
dtype: int64
splits:
- name: train
num_bytes: 1566000515
num_examples: 177133
- name: test
num_bytes: 195502355
num_examples: 22142
- name: validation
num_bytes: 196631381
num_examples: 22142
download_size: 767927678
dataset_size: 1958134251
- config_name: bidCorpus_sections_type
features:
- name: text
dtype: string
- name: certidao_protesto
dtype: int64
- name: certificado_boas_praticas
dtype: int64
- name: comprovante_localizacao
dtype: int64
- name: idoneidade_financeira
dtype: int64
- name: integralizado
dtype: int64
- name: licenca_ambiental
dtype: int64
- name: n_min_max_limitacao_atestados
dtype: int64
splits:
- name: train
num_bytes: 1566000515
num_examples: 177133
- name: test
num_bytes: 195502355
num_examples: 22142
- name: validation
num_bytes: 196631381
num_examples: 22142
download_size: 767927678
dataset_size: 1958134251
- config_name: bid_corpus_raw
features:
- name: ID-LICITACAO
dtype: float64
- name: ID-ARQUIVO
dtype: float64
- name: OBJETO
dtype: string
- name: JULGAMENTO
dtype: string
- name: CONDICAO_PARTICIPACAO
dtype: string
- name: HABILITACAO
dtype: string
- name: CREDENCIAMENTO
dtype: string
splits:
- name: train
num_bytes: 4248532882
num_examples: 373650
download_size: 1787451169
dataset_size: 4248532882
configs:
- config_name: bidCorpus_NER_keyphrase
data_files:
- split: train
path: bidCorpus_NER_keyphrase/train-*
- split: test
path: bidCorpus_NER_keyphrase/test-*
- split: validation
path: bidCorpus_NER_keyphrase/validation-*
- config_name: bidCorpus_gold
data_files:
- split: train
path: bidCorpus_gold/train-*
- split: test
path: bidCorpus_gold/test-*
- split: validation
path: bidCorpus_gold/validation-*
- config_name: bidCorpus_object_similarity
data_files:
- split: train
path: bidCorpus_object_similarity/train-*
- split: test
path: bidCorpus_object_similarity/test-*
- split: validation
path: bidCorpus_object_similarity/validation-*
- config_name: bidCorpus_objects_correct_allowed
data_files:
- split: train
path: bidCorpus_objects_correct_allowed/train-*
- split: test
path: bidCorpus_objects_correct_allowed/test-*
- split: validation
path: bidCorpus_objects_correct_allowed/validation-*
- config_name: bidCorpus_objects_type
data_files:
- split: train
path: bidCorpus_objects_type/train-*
- split: test
path: bidCorpus_objects_type/test-*
- split: validation
path: bidCorpus_objects_type/validation-*
- config_name: bidCorpus_qual_model
data_files:
- split: train
path: bidCorpus_qual_model/train-*
- split: test
path: bidCorpus_qual_model/test-*
- split: validation
path: bidCorpus_qual_model/validation-*
- config_name: bidCorpus_qual_weak_sup
data_files:
- split: train
path: bidCorpus_qual_weak_sup/train-*
- split: test
path: bidCorpus_qual_weak_sup/test-*
- split: validation
path: bidCorpus_qual_weak_sup/validation-*
- config_name: bidCorpus_sections_type
data_files:
- split: train
path: bidCorpus_sections_type/train-*
- split: test
path: bidCorpus_sections_type/test-*
- split: validation
path: bidCorpus_sections_type/validation-*
- config_name: bid_corpus_raw
data_files:
- split: train
path: bid_corpus_raw/train-*
---
# Dataset Card for Dataset Name
<!-- Provide a quick summary of the dataset. -->
This dataset card aims to be a base template for new datasets. It has been generated using [this raw template](https://github.com/huggingface/huggingface_hub/blob/main/src/huggingface_hub/templates/datasetcard_template.md?plain=1).
## Dataset Details
### Dataset Description
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- **Curated by:** [More Information Needed]
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- **Language(s) (NLP):** [More Information Needed]
- **License:** [More Information Needed]
### Dataset Sources [optional]
<!-- Provide the basic links for the dataset. -->
- **Repository:** [More Information Needed]
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## Uses
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### Direct Use
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### Out-of-Scope Use
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## Dataset Structure
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## Dataset Creation
### Curation Rationale
<!-- Motivation for the creation of this dataset. -->
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### Source Data
<!-- This section describes the source data (e.g. news text and headlines, social media posts, translated sentences, ...). -->
#### Data Collection and Processing
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#### Annotation process
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#### 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. -->
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## Bias, Risks, and Limitations
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[More Information Needed]
### 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 [optional]
<!-- If there is a paper or blog post introducing the dataset, the APA and Bibtex information for that should go in this section. -->
**BibTeX:**
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**APA:**
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## Glossary [optional]
<!-- If relevant, include terms and calculations in this section that can help readers understand the dataset or dataset card. -->
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