Huseyin Kir commited on
Commit
ae993a7
·
1 Parent(s): 4aac79a

croissant file added

Browse files
Files changed (1) hide show
  1. croissant.json +207 -0
croissant.json ADDED
@@ -0,0 +1,207 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "@context": "https://w3id.org/croissant/v1",
3
+ "@type": "Dataset",
4
+
5
+ "name": "NDL Core Corpus",
6
+ "version": "v0.1",
7
+
8
+ "description": "The NDL Core Corpus is an experimental, AI-ready aggregation of UK public sector data, developed as a minimum viable prototype (MVP) for the proposed National Data Library (NDL). The dataset is intended to support AI experimentation using UK public sector data, knowledge-base construction for AI agents, retrieval-augmented generation (RAG) pipelines, policy research and evaluation, and prototyping data infrastructure aligned with the Open Data Institute’s Data and AI programme.",
9
+
10
+ "creator": {
11
+ "@type": "Organization",
12
+ "name": "The Open Data Institute"
13
+ },
14
+
15
+ "publisher": {
16
+ "@type": "Organization",
17
+ "name": "The Open Data Institute"
18
+ },
19
+
20
+ "license": {
21
+ "@type": "CreativeWork",
22
+ "name": "Open Government Licence v3.0",
23
+ "url": "https://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/"
24
+ },
25
+
26
+ "conditionsOfAccess": "Open access. Individual records reference their original public-sector licences in a dedicated license field.",
27
+
28
+ "inLanguage": ["en", "cy"],
29
+
30
+ "keywords": [
31
+ "national data library",
32
+ "public sector data",
33
+ "ai-ready data",
34
+ "retrieval augmented generation",
35
+ "knowledge base",
36
+ "agentic ai",
37
+ "uk government data",
38
+ "open data"
39
+ ],
40
+
41
+ "spatialCoverage": {
42
+ "@type": "Place",
43
+ "name": "United Kingdom"
44
+ },
45
+
46
+ "temporalCoverage": "2025-01-01/2025-12-31",
47
+
48
+ "distribution": [
49
+ {
50
+ "@type": "FileObject",
51
+ "name": "ndl_core_aggregate.parquet",
52
+ "description": "Full aggregated corpus combining text and structured data from multiple UK public sector sources, standardised and enriched for AI use.",
53
+ "contentUrl": "ndl_core_aggregate.parquet",
54
+ "encodingFormat": "application/parquet"
55
+ }
56
+ ],
57
+
58
+ "conformsTo": [
59
+ "https://www.iso.org/iso-8601-date-and-time-format.html",
60
+ "https://w3id.org/croissant"
61
+ ],
62
+
63
+ "measurementTechnique": [
64
+ "Web crawling",
65
+ "API ingestion",
66
+ "Text extraction",
67
+ "Data standardisation",
68
+ "Deduplication",
69
+ "Language identification",
70
+ "Semantic classification using EU Data Theme Vocabulary"
71
+ ],
72
+
73
+ "isBasedOn": [
74
+ {
75
+ "@type": "CreativeWork",
76
+ "name": "GOV.UK",
77
+ "url": "https://www.gov.uk"
78
+ },
79
+ {
80
+ "@type": "CreativeWork",
81
+ "name": "Hansard",
82
+ "url": "https://hansard.parliament.uk"
83
+ },
84
+ {
85
+ "@type": "CreativeWork",
86
+ "name": "legislation.gov.uk",
87
+ "url": "https://www.legislation.gov.uk"
88
+ },
89
+ {
90
+ "@type": "CreativeWork",
91
+ "name": "data.gov.uk",
92
+ "url": "https://www.data.gov.uk"
93
+ },
94
+ {
95
+ "@type": "CreativeWork",
96
+ "name": "Office for National Statistics",
97
+ "url": "https://www.ons.gov.uk"
98
+ },
99
+ {
100
+ "@type": "CreativeWork",
101
+ "name": "Department for Environment, Food & Rural Affairs",
102
+ "url": "https://environment.data.gov.uk"
103
+ }
104
+ ],
105
+
106
+ "variableMeasured": [
107
+ {
108
+ "@type": "PropertyValue",
109
+ "name": "identifier",
110
+ "description": "Unique text identifier (UUID) for each record."
111
+ },
112
+ {
113
+ "@type": "PropertyValue",
114
+ "name": "title",
115
+ "description": "Title of the resource or source filename."
116
+ },
117
+ {
118
+ "@type": "PropertyValue",
119
+ "name": "description",
120
+ "description": "Description or summary of the resource."
121
+ },
122
+ {
123
+ "@type": "PropertyValue",
124
+ "name": "source",
125
+ "description": "Originating source from which the data was crawled or ingested."
126
+ },
127
+ {
128
+ "@type": "PropertyValue",
129
+ "name": "date",
130
+ "description": "Date of creation or publication of the resource."
131
+ },
132
+ {
133
+ "@type": "PropertyValue",
134
+ "name": "collection_time",
135
+ "description": "Timestamp indicating when the data was crawled or ingested."
136
+ },
137
+ {
138
+ "@type": "PropertyValue",
139
+ "name": "open_type",
140
+ "description": "Collection grouping such as Open Government or Open Source."
141
+ },
142
+ {
143
+ "@type": "PropertyValue",
144
+ "name": "license",
145
+ "description": "Licence governing reuse of the individual record."
146
+ },
147
+ {
148
+ "@type": "PropertyValue",
149
+ "name": "tags",
150
+ "description": "Automatically assigned tags using the EU Data Theme Vocabulary."
151
+ },
152
+ {
153
+ "@type": "PropertyValue",
154
+ "name": "language",
155
+ "description": "Automatically identified language of the content."
156
+ },
157
+ {
158
+ "@type": "PropertyValue",
159
+ "name": "format",
160
+ "description": "Data format of the record (e.g. text, parquet)."
161
+ },
162
+ {
163
+ "@type": "PropertyValue",
164
+ "name": "text",
165
+ "description": "Full textual content of the resource, where applicable."
166
+ },
167
+ {
168
+ "@type": "PropertyValue",
169
+ "name": "word_count",
170
+ "description": "Number of space-delimited words in the text."
171
+ },
172
+ {
173
+ "@type": "PropertyValue",
174
+ "name": "token_count",
175
+ "description": "Number of tokens computed for machine learning use."
176
+ },
177
+ {
178
+ "@type": "PropertyValue",
179
+ "name": "data_file",
180
+ "description": "Relative path to an associated structured data file, if present."
181
+ },
182
+ {
183
+ "@type": "PropertyValue",
184
+ "name": "extra_metadata",
185
+ "description": "Sparse, source-specific metadata fields preserved from original datasets."
186
+ }
187
+ ],
188
+
189
+ "intendedUse": [
190
+ "Machine learning training",
191
+ "Fine-tuning language models",
192
+ "Retrieval-augmented generation",
193
+ "Knowledge-base construction",
194
+ "Policy research and evaluation",
195
+ "AI agent experimentation"
196
+ ],
197
+
198
+ "limitations": "This dataset represents a static snapshot of public sector data collected during 2025. It is not real-time and coverage varies by source. Semantic harmonisation is necessarily partial due to source diversity.",
199
+
200
+ "updateFrequency": "Static snapshot",
201
+
202
+ "identifier": {
203
+ "@type": "PropertyValue",
204
+ "propertyID": "UUID",
205
+ "description": "Each record is identified using a universally unique identifier."
206
+ }
207
+ }