resolving card bugs

.gitignore

@@ -1,4 +1,8 @@
 env
 /env
 .vscode
-/.vscode
+/.vscode
+features_specs.py
+obligations.py
+py_legislation_metadata.py
+config.py

config.py

@@ -1,2 +0,0 @@
-
-LANGUAGE = "ES"

features_specs.py

@@ -1,34 +0,0 @@
-
-
-import datasets
-from obligations import affected_entity, cost_type, aa_categories, aa_categories_unique, io_categories
-
-BASIC_FEATURES_SPEC = {
-    "source_id": datasets.Value(dtype="int64"),
-    "doc_source_id": datasets.Value(dtype="int64"),
-    "document": datasets.Value(dtype="string"),
-    "text": datasets.Value(dtype="string"),
-}
-
-RAW_FEATURES_SPEC = {
-    "source_id": datasets.Value(dtype="int64"),
-    "doc_source_id": datasets.Value(dtype="int64"),
-    "document": datasets.Value(dtype="string"),
-    "text": datasets.Value(dtype="string"),
-}
-
-SENTENCES_UNLABELED_FEATURES_SPEC = {
-    "source_id": datasets.Value(dtype="int64"),
-    "doc_source_id": datasets.Value(dtype="int64"),
-    "document": datasets.Value(dtype="string"),
-    "text": datasets.Value(dtype="string"),
-
-    #
-
-    # Categories
-    "cost_type": datasets.ClassLabel(names=cost_type,),
-    "affected_entity": datasets.ClassLabel(names=affected_entity,),
-    "io_categories": datasets.Sequence(datasets.ClassLabel(names=io_categories,)),
-    "aa_categories": datasets.Sequence(datasets.ClassLabel(names=aa_categories,)),
-    "aa_categories_unique": datasets.Sequence(datasets.ClassLabel(names=aa_categories_unique,)),
-}

obligations.py

@@ -1,200 +0,0 @@
-
-
-from config import LANGUAGE
-
-
-cost_type = ["no_cost", "adm_cost", "direct_cost", "other_cost"]
-cost_type_ES = ["sin_costo", "costo_adm", "costo_directo", "otro_costo"]
-cost_type_PT = ["sem_custo", "custo_adm", "custo_direto", "outro_custo"]
-
-affected_entity = ["no_affected_ent", "companies", "citizens", "public_adm"]
-affected_entity_ES = ["ent_no_afectada",
-                      "empresas", "ciudadanos", "adm_publica"]
-affected_entity_PT = ["ent_nao_afetada", "empresas", "cidadaos", "adm_publica"]
-
-# [i]                                                                                            -
-# [i] IO Categories                                                                              -
-# [i]                                                                                            -
-
-io_categories_PT = [
-    "prestacao_info_empresarial_e_fiscal",
-    "pedidos_de_licencas_e_outros",
-    "registos_e_notificacoes",
-    "candidatura_a_subsidios_e_outros",
-    "disponibilizacao_de_manuais_e_outros",
-    "cooperacao_com_auditorias_e_outros",
-    "prestacao_info_a_consumidores",
-    "outras_ois"
-],
-
-
-io_categories_ES = [
-    "prestacion_de_informacion_empresarial_y_fiscal"
-    "solicitudes_de_licencias_y_otras"
-    "registros_y_notificaciones"
-    "solicitud_de_subsidios_y_otras"
-    "disponibilidad_de_manuales_y_otras"
-    "cooperacion_con_auditorías_y_otras"
-    "prestacion_de_informacion_a_consumidores"
-    "otras_OIS"
-]
-
-# [i]                                                                                            -
-# [i] IO Categories Unique                                                                       -
-# [i]                                                                                            -
-
-aa_categories_unique_PT = [
-    "familiarizacao_com_oi",
-    "recolha_e_organizacao_de_info",
-    "processamento_de_info",
-    "tempos_de_espera",
-    "deslocacoes",
-    "submissao_de_info",
-    "preservacao_de_info"
-]
-
-
-aa_categories_unique_ES = [
-    "familiarizacion_con_OI"
-    "recoleccion_y_organizacion_de_informacion"
-    "procesamiento_de_informacion"
-    "tiempos_de_espera"
-    "desplazamientos"
-    "envio_de_informacion"
-    "preservacion_de_informacion"
-]
-
-# [i]                                                                                            -
-# [i] AA Categories                                                                              -
-# [i]                                                                                            -
-
-
-aa_categories_PT = [
-    "aa_1_familiarizacao_com_oi",
-    "aa_1_recolha_e_organizacao_de_info",
-    "aa_1_processamento_de_info",
-    "aa_1_tempos_de_espera",
-    "aa_1_deslocacoes",
-    "aa_1_submissao_de_info",
-    "aa_1_preservacao_de_info",
-    "aa_2_familiarizacao_com_oi",
-    "aa_2_recolha_e_organizacao_de_info",
-    "aa_2_processamento_de_info",
-    "aa_2_tempos_de_espera",
-    "aa_2_deslocacoes",
-    "aa_2_submissao_de_info",
-    "aa_2_preservacao_de_info",
-    "aa_3_familiarizacao_com_oi",
-    "aa_3_recolha_e_organizacao_de_info",
-    "aa_3_processamento_de_info",
-    "aa_3_tempos_de_espera",
-    "aa_3_deslocacoes",
-    "aa_3_submissao_de_info",
-    "aa_3_preservacao_de_info",
-    "aa_4_familiarizacao_com_oi",
-    "aa_4_recolha_e_organizacao_de_info",
-    "aa_4_processamento_de_info",
-    "aa_4_tempos_de_espera",
-    "aa_4_deslocacoes",
-    "aa_4_submissao_de_info",
-    "aa_4_preservacao_de_info",
-    "aa_5_familiarizacao_com_oi",
-    "aa_5_recolha_e_organizacao_de_info",
-    "aa_5_processamento_de_info",
-    "aa_5_tempos_de_espera",
-    "aa_5_deslocacoes",
-    "aa_5_submissao_de_info",
-    "aa_5_preservacao_de_info",
-    "aa_6_familiarizacao_com_oi",
-    "aa_6_recolha_e_organizacao_de_info",
-    "aa_6_processamento_de_info",
-    "aa_6_tempos_de_espera",
-    "aa_6_deslocacoes",
-    "aa_6_submissao_de_info",
-    "aa_6_preservacao_de_info",
-    "aa_7_familiarizacao_com_oi",
-    "aa_7_recolha_e_organizacao_de_info",
-    "aa_7_processamento_de_info",
-    "aa_7_tempos_de_espera",
-    "aa_7_deslocacoes",
-    "aa_7_submissao_de_info",
-    "aa_7_preservacao_de_info"
-]
-
-aa_categories_ES = [
-    "aa_1_familiarizacion_con_OI"
-    "aa_1_recoleccion_y_organizacion_de_informacion"
-    "aa_1_procesamiento_de_informacion"
-    "aa_1_tiempos_de_espera"
-    "aa_1_desplazamientos"
-    "aa_1_envio_de_informacion"
-    "aa_1_preservacion_de_informacion"
-    "aa_2_familiarizacion_con_OI"
-    "aa_2_recoleccion_y_organizacion_de_informacion"
-    "aa_2_procesamiento_de_informacion"
-    "aa_2_tiempos_de_espera"
-    "aa_2_desplazamientos"
-    "aa_2_envio_de_informacion"
-    "aa_2_preservacion_de_informacion"
-    "aa_3_familiarizacion_con_OI"
-    "aa_3_recoleccion_y_organizacion_de_informacion"
-    "aa_3_procesamiento_de_informacion"
-    "aa_3_tiempos_de_espera"
-    "aa_3_desplazamientos"
-    "aa_3_envio_de_informacion"
-    "aa_3_preservacion_de_informacion"
-    "aa_4_familiarizacion_con_OI"
-    "aa_4_recoleccion_y_organizacion_de_informacion"
-    "aa_4_procesamiento_de_informacion"
-    "aa_4_tiempos_de_espera"
-    "aa_4_desplazamientos"
-    "aa_4_envio_de_informacion"
-    "aa_4_preservacion_de_informacion"
-    "aa_5_familiarizacion_con_OI"
-    "aa_5_recoleccion_y_organizacion_de_informacion"
-    "aa_5_procesamiento_de_informacion"
-    "aa_5_tiempos_de_espera"
-    "aa_5_desplazamientos"
-    "aa_5_envio_de_informacion"
-    "aa_5_preservacion_de_informacion"
-    "aa_6_familiarizacion_con_OI"
-    "aa_6_recoleccion_y_organizacion_de_informacion"
-    "aa_6_procesamiento_de_informacion"
-    "aa_6_tiempos_de_espera"
-    "aa_6_desplazamientos"
-    "aa_6_envio_de_informacion"
-    "aa_6_preservacion_de_informacion"
-    "aa_7_familiarizacion_con_OI"
-    "aa_7_recoleccion_y_organizacion_de_informacion"
-    "aa_7_procesamiento_de_informacion"
-    "aa_7_tiempos_de_espera"
-    "aa_7_desplazamientos"
-    "aa_7_envio_de_informacion"
-    "aa_7_preservacion_de_informacion"
-]
-
-
-io_categories = [],
-aa_categories_unique = []
-aa_categories = []
-
-
-if LANGUAGE == "ES":
-    io_categories = io_categories_ES,
-    aa_categories_unique = aa_categories_unique_ES
-    aa_categories = aa_categories_ES
-    cost_type = cost_type_ES
-    affected_entity = affected_entity_ES
-elif LANGUAGE == "PT":
-    io_categories = io_categories_PT,
-    aa_categories_unique = aa_categories_unique_PT
-    aa_categories = aa_categories_PT
-    cost_type = cost_type_PT
-    affected_entity = affected_entity_PT
-
-urls = {
-    "raw": "./data/raw.parquet",
-    "sentences_unlabeled": "./data/unlabeled.parquet",
-    "sentences_labeled_train": "./data/labeled_train.parquet",
-    "sentences_labeled_test": "./data/labeled_test.parquet",
-},

py_legislation_metadata.py

@@ -1,69 +0,0 @@
-
-
-import textwrap
-import datasets
-
-
-
-
-# [i]                                                                                            -
-# [i] GENERAL DESCRIPTIONS                                                                       -
-# [i]                                                                                            -
-
-PY_LEGISLATION_METADATA = {
-    "citation" : """\
-    @InProceedings{
-        huggingface:dataset,
-        title = {Paraguay Legislation Dataset},
-        author={Peres, Fernando; Costa, Victor},
-        year={2023}
-    }
-    """,
-
-    "description" :textwrap.dedent("""\
-        Dataset for researching - NLP techniques on PARAGUAY legislation.
-    """),
-
-    "homepage" : "https://www.leyes.com.py/",
-
-    "license" : "apache-2.0",
-
-    "urls" : {
-        "raw": "./data/0_raw/raw.parquet",
-        "sentences_unlabeled": "./data/1_sentences_unlabeled/unlabeled.parquet",
-        "sentences_labeled": "./data/2_sentences_labeled/labeled.parquet",
-    },
-
-    "raw-description" : textwrap.dedent("""
-    Data extracted from the sources files (URls, PDFs and Word files) without any transformation or sentence splitter. It can be helpful because you can access the raw data extracted from the seeds (PDFs and Word files) and apply other preprocessing tasks from this point to prepare the data without returning to extract texts from source files.
-    """),
-
-    "sentences-unlabeled-description" : textwrap.dedent("""
-    Unlabeled corpora of Paraguay legislation. This data is prepared to be labeled by the experts. Each instance of the dataset represents a specific text passage, split by its original formatting extracted from raw text (from original documents)
-
-    Each observation of the dataset represents a specific text passage.
-    """),
-
-    "sentences-labeled-description" : textwrap.dedent("""
-    The labeled data is the ground truth data used to train the models. This data is annotated  by legal experts indicating the existence of administrative costs (and other types) in the legislation.
-
-    Each observation of the dataset represents a specific text passage.
-    """),
-}
-
-
-x = {
-    "config_names" : {
-        "raw": {
-            "description" : "",
-            "features" : {
-                "source_id": datasets.Value(dtype="int64"),
-                "doc_source_id": datasets.Value(dtype="int64"),
-                "document": datasets.Value(dtype="string"),
-                "text": datasets.Value(dtype="string"),
-            }
-        }
-    }
-}
-
-# x["config_names"]["raw"]["description"]