Update old cityjsonl references

cityjson · Jun 28, 2024 · b8dd3c6 · b8dd3c6
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diff --git a/cityjsonseq/index.md b/cityjsonseq/index.md
@@ -122,8 +122,8 @@ cat myfile.city.jsonl | cjseq collect > myfile.city.json
 
 | dataset | CityJSONSeq file | description |  
 | ------- | ---------------- | ----------- |
-| 3DBAG   | [3dbag_b2.city.jsonl](https://3d.bk.tudelft.nl/opendata/cityjson/cityjsonl/3dbag_b2.city.jsonl) | 2 buildings randomly selected from the 3DBAG, LoD2.2 only |
-| Montréal   | [montréal_b4.city.jsonl](https://3d.bk.tudelft.nl/opendata/cityjson/cityjsonl/montréal_b4.city.jsonl) | 4 buildings randomly selected from the Montréal dataset |
+| 3DBAG   | [3dbag_b2.city.jsonl](https://3d.bk.tudelft.nl/opendata/cityjson/cityjsonseq/3dbag_b2.city.jsonl) | 2 buildings randomly selected from the 3DBAG, LoD2.2 only |
+| Montréal   | [montréal_b4.city.jsonl](https://3d.bk.tudelft.nl/opendata/cityjson/cityjsonseq/montréal_b4.city.jsonl) | 4 buildings randomly selected from the Montréal dataset |
 
 
 ## Validating a stream

diff --git a/datasets/index.md b/datasets/index.md
@@ -82,17 +82,11 @@ Please be aware that we simply converted the datasets, some datasets contain (ge
 <i class="fas fa-exclamation-circle"></i> We performed the geometric validation with [val3dity](https://github.com/tudelft3d/val3dity) and report the overall result in the column 'validity'. To understand the errors, we suggest validating the files ([how to do this]({{ '/tutorials/validation/' | relative_url }})) yourself.
 
 
-## CityJSONL (CityJSON Lines) examples
+## CityJSONSeq examples
 
-CityJSON Lines---CityJSONL for short---is a format based on [JSON Text Sequences](https://datatracker.ietf.org/doc/html/rfc7464) and CityJSON.
-It involves decomposing a dataset into each of its features (which becomes a [`CityJSONFeature`](https://www.cityjson.org/specs/#text-sequences-and-streaming-with-cityjsonfeature)) and storing them in a text file: one per line.
+CityJSON Text Sequences---CityJSONSeq for short---is a format based on [JSON Text Sequences](https://datatracker.ietf.org/doc/html/rfc7464) and CityJSON.
 
-The following 2 subsets of datasets were generated using cjio ([see details](https://www.cityjson.org/cityjsonl/#reading-and-writing-cityjsonl-with-cjio)).
-
-| dataset | CityJSONL file | description |  
-| ------- | -------------- | ----------- |
-| 3DBAG   | [3dbag_b2.city.jsonl](https://3d.bk.tudelft.nl/opendata/cityjson/cityjsonl/3dbag_b2.city.jsonl) | 2 buildings randomly selected from the 3DBAG, LoD2.2 only |
-| Montréal   | [montréal_b4.city.jsonl](https://3d.bk.tudelft.nl/opendata/cityjson/cityjsonl/montréal_b4.city.jsonl) | 4 buildings randomly selected from the Montréal dataset | 
+See [this webpage for data and information]({{ '/cityjsonseq/#cityjsonseq-examples' | prepend: site.baseurl }}).
 
 ## Generating automatically your own CityJSON dataset