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Tags:
legal
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@@ -278,7 +278,7 @@ dataset_info:
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  num_examples: 182
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  download_size: 5673825
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  dataset_size: 13943099
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- - config_name: bid_corpus_raw
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  features:
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  - name: ID-LICITACAO
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  dtype: float64
@@ -383,10 +383,10 @@ configs:
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  path: bidCorpus_synthetic/test-*
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  - split: validation
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  path: bidCorpus_synthetic/validation-*
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- - config_name: bid_corpus_raw
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  data_files:
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  - split: train
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- path: bid_corpus_raw/train-*
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  tags:
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  - legal
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  ---
@@ -444,7 +444,7 @@ The supported tasks are the following:
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  <tr><td>bidCorpus_qual_weak_sup</td><td><a href="">-</a></td><td>Seção de Habilitação de Editais de Licitação</td><td>Multi-label Classification</td><td>7</td></tr>
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  <tr><td>bidCorpus_synthetic</td><td><a href="">-</a></td><td>Seção de Habilitação de Editais de Licitação</td><td>Multi-label Classification</td><td>7</td></tr>
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  <tr><td>bidCorpus_sections_type</td><td><a href="">-</a></td><td>Seções de Editais de Licitação</td><td>Multi-label Classification</td><td>5</td></tr>
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- <tr><td>bid_corpus_raw</td><td><a href="">-</a></td><td>Seções de Editais de Licitação</td><td>n/a</td><td>n/a</td></tr>
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  </table>
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  #### bidCorpus_NER_keyphrase
@@ -559,7 +559,7 @@ This dataset classifies different types of sections in bidding notices. The sect
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  The dataset provides a systematic approach to categorize the various sections found in bidding notices, facilitating better organization and analysis of procurement documents.
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- #### bid_corpus_raw
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  This dataset consists of raw, unlabeled texts from sections of bidding notices. The sections included are:
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@@ -672,7 +672,7 @@ An example of 'train' looks as follows.
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  }
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  ```
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- #### bid_corpus_raw
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  An example of 'train' looks as follows.
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  ```json
@@ -773,7 +773,7 @@ An example of 'train' looks as follows.
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  - `text`: a list of `string` features (list of factual paragraphs from the case description).
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  - `label`: a list of `string` features (classification labels for sections types).
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- #### bid_corpus_raw
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  - `ID-LICITACAO`: a list of `float64` features (auction ID).
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  - `ID-ARQUIVO`: a list of `float64` features (file ID).
@@ -857,7 +857,7 @@ An example of 'train' looks as follows.
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  <td>1.530</td>
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  </tr>
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  <tr>
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- <td>bid_corpus_raw</td>
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  <td>373.650</td>
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  <td>N/A</td>
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  <td>N/A</td>
 
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  num_examples: 182
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  download_size: 5673825
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  dataset_size: 13943099
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+ - config_name: bidCorpus_raw
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  features:
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  - name: ID-LICITACAO
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  dtype: float64
 
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  path: bidCorpus_synthetic/test-*
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  - split: validation
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  path: bidCorpus_synthetic/validation-*
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+ - config_name: bidCorpus_raw
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  data_files:
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  - split: train
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+ path: bidCorpus_raw/train-*
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  tags:
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  - legal
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  ---
 
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  <tr><td>bidCorpus_qual_weak_sup</td><td><a href="">-</a></td><td>Seção de Habilitação de Editais de Licitação</td><td>Multi-label Classification</td><td>7</td></tr>
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  <tr><td>bidCorpus_synthetic</td><td><a href="">-</a></td><td>Seção de Habilitação de Editais de Licitação</td><td>Multi-label Classification</td><td>7</td></tr>
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  <tr><td>bidCorpus_sections_type</td><td><a href="">-</a></td><td>Seções de Editais de Licitação</td><td>Multi-label Classification</td><td>5</td></tr>
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+ <tr><td>bidCorpus_raw</td><td><a href="">-</a></td><td>Seções de Editais de Licitação</td><td>n/a</td><td>n/a</td></tr>
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  </table>
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  #### bidCorpus_NER_keyphrase
 
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  The dataset provides a systematic approach to categorize the various sections found in bidding notices, facilitating better organization and analysis of procurement documents.
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+ #### bidCorpus_raw
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  This dataset consists of raw, unlabeled texts from sections of bidding notices. The sections included are:
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  }
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  ```
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+ #### bidCorpus_raw
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  An example of 'train' looks as follows.
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  ```json
 
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  - `text`: a list of `string` features (list of factual paragraphs from the case description).
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  - `label`: a list of `string` features (classification labels for sections types).
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+ #### bidCorpus_raw
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  - `ID-LICITACAO`: a list of `float64` features (auction ID).
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  - `ID-ARQUIVO`: a list of `float64` features (file ID).
 
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  <td>1.530</td>
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  </tr>
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  <tr>
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+ <td>bidCorpus_raw</td>
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  <td>373.650</td>
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  <td>N/A</td>
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  <td>N/A</td>