Hugging Face's logo

Datasets:
underpop
/
juridico2

Modalities:
Text
Formats:
parquet
Size:
10K - 100K
Tags:
Synthetic
datadesigner
Libraries:
Datasets
pandas
Polars
Dataset card Data Studio Files
xet
 Community
1
underpop commited on
Commit
13af388
·
verified ·
1 Parent(s): df0af10

Upload builder_config.json

Browse files
Files changed (1) hide show
  1. builder_config.json +181 -0
builder_config.json ADDED
@@ -0,0 +1,181 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "data_designer": {
3
+ "columns": [
4
+ {
5
+ "name": "llm_structured_1",
6
+ "drop": false,
7
+ "allow_resize": false,
8
+ "column_type": "llm-structured",
9
+ "prompt": "Eres un experto en la creación de datasets jurídicos para el entrenamiento \nde modelos de lenguaje.\n\nRecibirás ÚNICAMENTE el siguiente fragmento de legislación.\n\nDocumento de origen: {{ source_file }}\nTexto legal: {{ chunk_text }}\n\nTu tarea es generar EXACTAMENTE 3 ejemplos diferentes de instrucción-respuesta \nde alta calidad. Cada ejemplo debe centrarse en un aspecto distinto del texto.\n\nNORMAS:\n- Cada respuesta debe obtenerse EXCLUSIVAMENTE del texto proporcionado.\n- No inventes información ni uses conocimientos externos.\n- No cites artículos o normas que no aparezcan en el fragmento.\n- No copies literalmente el texto salvo cuando sea imprescindible.\n- Las preguntas nunca deben mencionar \"este texto\", \"este fragmento\" ni \n \"este artículo\".\n- Si no es posible generar tres ejemplos de calidad, genera solo los posibles.\n\nDIVERSIDAD DE PREGUNTAS:\nUsa categorías distintas entre los tres ejemplos (definición, requisito, \nobligación, prohibición, plazo, excepción, derecho, deber, procedimiento, \ncompetencia, sanción, documentación, aplicación práctica, condiciones, \ntramitación administrativa).\n\nVaría también el perfil del destinatario:\n- Una pregunta orientada a un ciudadano sin formación jurídica.\n- Una orientada a un profesional (abogado, gestor, asesor).\n- Una orientada a un funcionario o aplicador de la norma.\n\nFORMATO DE SALIDA:\nDevuelve ÚNICAMENTE un array JSON válido. Sin texto previo, sin explicaciones, \nsin bloques markdown. El array empieza con [ y termina con ].\n\nCada objeto debe tener exactamente estos campos:\n{\n \"pregunta\": \"pregunta natural y específica\",\n \"respuesta\": \"respuesta clara, completa y profesional\",\n \"cita_evidencia\": \"cita textual del fragmento, máximo 2 frases\",\n \"categoria\": \"categoría de la pregunta\",\n \"documento_origen\": \"{{ source_file }}\"\n}",
10
+ "model_alias": "provider_column",
11
+ "system_prompt": null,
12
+ "multi_modal_context": null,
13
+ "tool_alias": null,
14
+ "with_trace": "none",
15
+ "extract_reasoning_content": false,
16
+ "output_format": {
17
+ "type": "array",
18
+ "minItems": 1,
19
+ "maxItems": 3,
20
+ "items": {
21
+ "type": "object",
22
+ "additionalProperties": false,
23
+ "required": [
24
+ "pregunta",
25
+ "razonamiento",
26
+ "respuesta",
27
+ "cita_evidencia",
28
+ "categoria",
29
+ "documento_origen"
30
+ ],
31
+ "properties": {
32
+ "pregunta": {
33
+ "type": "string",
34
+ "description": "Pregunta natural que podría formular un ciudadano, profesional o funcionario sobre el fragmento legal."
35
+ },
36
+ "razonamiento": {
37
+ "type": "string",
38
+ "description": "Análisis jurídico paso a paso que explica cómo se extrae la respuesta del fragmento legal. Fundamental para el proceso de pensamiento del modelo."
39
+ },
40
+ "respuesta": {
41
+ "type": "string",
42
+ "description": "Respuesta clara, completa y profesional obtenida exclusivamente del fragmento proporcionado."
43
+ },
44
+ "cita_evidencia": {
45
+ "type": "string",
46
+ "description": "Cita textual breve del fragmento que justifica la respuesta. Máximo 2 frases."
47
+ },
48
+ "categoria": {
49
+ "type": "string",
50
+ "enum": [
51
+ "definición",
52
+ "requisito",
53
+ "obligación",
54
+ "prohibición",
55
+ "plazo",
56
+ "excepción",
57
+ "derecho",
58
+ "deber",
59
+ "procedimiento",
60
+ "competencia",
61
+ "sanción",
62
+ "documentación",
63
+ "aplicación práctica",
64
+ "condiciones",
65
+ "tramitación administrativa"
66
+ ],
67
+ "description": "Categoría jurídica que clasifica el tipo de pregunta."
68
+ },
69
+ "documento_origen": {
70
+ "type": "string",
71
+ "description": "Nombre del documento PDF del que proviene el fragmento."
72
+ }
73
+ }
74
+ }
75
+ }
76
+ },
77
+ {
78
+ "name": "chunk_text",
79
+ "drop": false,
80
+ "allow_resize": false,
81
+ "column_type": "seed-dataset"
82
+ },
83
+ {
84
+ "name": "source_file",
85
+ "drop": false,
86
+ "allow_resize": false,
87
+ "column_type": "seed-dataset"
88
+ }
89
+ ],
90
+ "model_configs": [
91
+ {
92
+ "alias": "provider_column",
93
+ "model": "deepseek/deepseek-v4-flash",
94
+ "inference_parameters": {
95
+ "generation_type": "chat-completion",
96
+ "max_parallel_requests": 10,
97
+ "timeout": null,
98
+ "extra_body": null,
99
+ "temperature": 0.15,
100
+ "top_p": null,
101
+ "max_tokens": null
102
+ },
103
+ "provider": "provider_1",
104
+ "skip_health_check": false
105
+ }
106
+ ],
107
+ "tool_configs": [],
108
+ "seed_config": {
109
+ "source": {
110
+ "seed_type": "unstructured",
111
+ "paths": [
112
+ "/workspace/studio/assets/datasets/unstructured-uploads/n4/d085dd8274f64d6c8b34364b0faa89d2.extracted.txt",
113
+ "/workspace/studio/assets/datasets/unstructured-uploads/n4/5d0e88e9a6a04960ab78e0e1e92da713.extracted.txt",
114
+ "/workspace/studio/assets/datasets/unstructured-uploads/n4/aceee70018834c9bb04ab7b0c67bbe70.extracted.txt",
115
+ "/workspace/studio/assets/datasets/unstructured-uploads/n4/5bb0d18ebf6d4736b520659882d7bc50.extracted.txt",
116
+ "/workspace/studio/assets/datasets/unstructured-uploads/n4/fefa7bcee1be4534a76db20f58980069.extracted.txt",
117
+ "/workspace/studio/assets/datasets/unstructured-uploads/n4/f65dd74e1cd44fad9fe521f0ca1d1c4b.extracted.txt",
118
+ "/workspace/studio/assets/datasets/unstructured-uploads/n4/a29f0415f72f4b31a09a01add7032964.extracted.txt",
119
+ "/workspace/studio/assets/datasets/unstructured-uploads/n4/0afb9c20cafd4f45a2eef54a9c0c5476.extracted.txt",
120
+ "/workspace/studio/assets/datasets/unstructured-uploads/n4/050afd4fe08b4bf6a921f9fd91d7b1f2.extracted.txt",
121
+ "/workspace/studio/assets/datasets/unstructured-uploads/n4/8d2b84aed6bd4b5e9e647c700c07d973.extracted.txt",
122
+ "/workspace/studio/assets/datasets/unstructured-uploads/n4/551e5b73c17c418f9f39d51f0c17e6a2.extracted.txt",
123
+ "/workspace/studio/assets/datasets/unstructured-uploads/n4/9b860964bfc0433e9054f453de7a5c1b.extracted.txt",
124
+ "/workspace/studio/assets/datasets/unstructured-uploads/n4/dc880ec73b82421e908be9b11675719f.extracted.txt",
125
+ "/workspace/studio/assets/datasets/unstructured-uploads/n4/ed6f5acc97d1462b8876b96343d70433.extracted.txt",
126
+ "/workspace/studio/assets/datasets/unstructured-uploads/n4/11fa22a83bf74a98915fd31e2d3e6bec.extracted.txt",
127
+ "/workspace/studio/assets/datasets/unstructured-uploads/n4/b9e581a447244a179a09c0b1211b8005.extracted.txt",
128
+ "/workspace/studio/assets/datasets/unstructured-uploads/n4/ed678fadea0f474b924fb6cf5da20363.extracted.txt",
129
+ "/workspace/studio/assets/datasets/unstructured-uploads/n4/1919e5615db9438fbb2a543a01e558af.extracted.txt",
130
+ "/workspace/studio/assets/datasets/unstructured-uploads/n4/14a1716f08384827a457aa39576beff2.extracted.txt",
131
+ "/workspace/studio/assets/datasets/unstructured-uploads/n4/e901d54ed5e24e56b615b39ae3a0cb7e.extracted.txt",
132
+ "/workspace/studio/assets/datasets/unstructured-uploads/n4/10670796a5564e10888362aab9b6e589.extracted.txt",
133
+ "/workspace/studio/assets/datasets/unstructured-uploads/n4/46b33ccf38854e6f9fdfc239e1ff786e.extracted.txt",
134
+ "/workspace/studio/assets/datasets/unstructured-uploads/n4/4c27cf916c97474195088d8430b216b8.extracted.txt",
135
+ "/workspace/studio/assets/datasets/unstructured-uploads/n4/b83a9f4b39f947fcaf21d1abae0b57e9.extracted.txt",
136
+ "/workspace/studio/assets/datasets/unstructured-uploads/n4/a2d7fcd6932a489d885eb0d4dca2c5e9.extracted.txt",
137
+ "/workspace/studio/assets/datasets/unstructured-uploads/n4/3f81ec07eeca427685730aa9e4fec3dc.extracted.txt",
138
+ "/workspace/studio/assets/datasets/unstructured-uploads/n4/08267d9eab9b4ff490dbd372b7fadba2.extracted.txt",
139
+ "/workspace/studio/assets/datasets/unstructured-uploads/n4/e69a211261bd4c2ea2e22d592bbd8b5f.extracted.txt",
140
+ "/workspace/studio/assets/datasets/unstructured-uploads/n4/cfff2775893e41d381ec6c1fb30335c2.extracted.txt",
141
+ "/workspace/studio/assets/datasets/unstructured-uploads/n4/89faa7818d4a4b43840ef8e15dcd1886.extracted.txt",
142
+ "/workspace/studio/assets/datasets/unstructured-uploads/n4/bf3af7a4753c4418a24bf0235f406e52.extracted.txt",
143
+ "/workspace/studio/assets/datasets/unstructured-uploads/n4/b6a9e00930104929b0a8426259079acf.extracted.txt",
144
+ "/workspace/studio/assets/datasets/unstructured-uploads/n4/256e95e0d7a244b8a690d3373ba02feb.extracted.txt",
145
+ "/workspace/studio/assets/datasets/unstructured-uploads/n4/654110d83e984687a5f8828c60cabf01.extracted.txt",
146
+ "/workspace/studio/assets/datasets/unstructured-uploads/n4/6f220a1b0fbd4307bd50e508ff9ad1f3.extracted.txt",
147
+ "/workspace/studio/assets/datasets/unstructured-uploads/n4/4a91938a12b34ed88fe4b57a70f9aaff.extracted.txt",
148
+ "/workspace/studio/assets/datasets/unstructured-uploads/n4/18cde97365d04c778f2afd09ae4de6f7.extracted.txt",
149
+ "/workspace/studio/assets/datasets/unstructured-uploads/n4/f236d7f1dd5e42438afab074bab66e87.extracted.txt",
150
+ "/workspace/studio/assets/datasets/unstructured-uploads/n4/d1a4637dd7fe4cfe87d9b19c938e2883.extracted.txt",
151
+ "/workspace/studio/assets/datasets/unstructured-uploads/n4/6ba4e82202a1490c971228cf734f18c0.extracted.txt",
152
+ "/workspace/studio/assets/datasets/unstructured-uploads/n4/9fb203f9d6e847938c6e4b5d63ec8332.extracted.txt",
153
+ "/workspace/studio/assets/datasets/unstructured-uploads/n4/4e1ceabdac444c94a0134ca59ae10cf4.extracted.txt",
154
+ "/workspace/studio/assets/datasets/unstructured-uploads/n4/da3a592fcea0416f8f3635ed05164334.extracted.txt",
155
+ "/workspace/studio/assets/datasets/unstructured-uploads/n4/76c933b4a6754b37b82d394e534c24ff.extracted.txt",
156
+ "/workspace/studio/assets/datasets/unstructured-uploads/n4/314c2cd5dab2482098e89f53ff768356.extracted.txt",
157
+ "/workspace/studio/assets/datasets/unstructured-uploads/n4/cedd22473d3e48d2a70b2306ce1ab2b3.extracted.txt",
158
+ "/workspace/studio/assets/datasets/unstructured-uploads/n4/8b0f48aa42c94ee0b09fa5893b04418e.extracted.txt",
159
+ "/workspace/studio/assets/datasets/unstructured-uploads/n4/89379b0f04e34267b53bf09725f6c3d0.extracted.txt",
160
+ "/workspace/studio/assets/datasets/unstructured-uploads/n4/e4f8f18a133f498eb68a230327e420b7.extracted.txt",
161
+ "/workspace/studio/assets/datasets/unstructured-uploads/n4/2e982d2928454055bc19ce88f8277c3f.extracted.txt",
162
+ "/workspace/studio/assets/datasets/unstructured-uploads/n4/4c55abb71bb343bc85d6b594e5bf8471.extracted.txt",
163
+ "/workspace/studio/assets/datasets/unstructured-uploads/n4/95bae96d477d47eaa91892ab92cec370.extracted.txt",
164
+ "/workspace/studio/assets/datasets/unstructured-uploads/n4/e1d80e4d83454d59bc675a86bce6aff1.extracted.txt",
165
+ "/workspace/studio/assets/datasets/unstructured-uploads/n4/006203fbf12646a08c2e6c389c359da7.extracted.txt",
166
+ "/workspace/studio/assets/datasets/unstructured-uploads/n4/9c20bf2e90fc4c3eb2d85a21376cd41d.extracted.txt",
167
+ "/workspace/studio/assets/datasets/unstructured-uploads/n4/120b87bf45a4413191b951245913ed77.extracted.txt",
168
+ "/workspace/studio/assets/datasets/unstructured-uploads/n4/9cf2179bba854fa1aa0e90625aef2aa6.extracted.txt"
169
+ ],
170
+ "chunk_size": 1500,
171
+ "chunk_overlap": 200
172
+ },
173
+ "sampling_strategy": "shuffle",
174
+ "selection_strategy": null
175
+ },
176
+ "constraints": null,
177
+ "profilers": null,
178
+ "processors": null
179
+ },
180
+ "library_version": "0.5.4"
181
+ }