diff --git a/.gitignore b/.gitignore
index 4da1598e9800433f085c4fabf79c2be8c5b16df3..77ec93a82bff41fe605047ced6a7df55ffe8a490 100644
--- a/.gitignore
+++ b/.gitignore
@@ -8,4 +8,5 @@ workflows/nf-results/*
 workflows/results
 workflows/ocrd-workflows/*.nf
 models
-.idea
\ No newline at end of file
+.idea
+gt/*
diff --git a/Dockerfile b/Dockerfile
index 02321b76f01e828150eeb5dfc9503c54592d221f..ae906dfc8312def615efdadc8008fa69256b3991 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -5,6 +5,7 @@ WORKDIR /app
 COPY requirements.txt requirements.txt
 
 RUN apt install git
+RUN apt install -y jq
 RUN apt-get update
 RUN apt-get install -y --fix-missing openjdk-11-jre
 
@@ -14,7 +15,6 @@ COPY README.md README.md
 
 RUN git init
 RUN git submodule add https://github.com/MehmedGIT/OtoN_Converter submodules/oton
-RUN git submodule add https://github.com/OCR-D/quiver-data submodules/quiver-data
 RUN git submodule update --init
 
 RUN cd submodules/oton && \
@@ -22,10 +22,13 @@ RUN cd submodules/oton && \
     sed -i "s \$projectDir/ocrd-workspace/ $WORKSPACE_DIR/CURRENT/ g" oton/config.toml && \
     pip install .
 
+COPY prepare.sh prepare.sh
+COPY default_data_sources.txt default_data_sources.txt
+
 RUN pip3 install -r requirements.txt
 RUN pip3 install .
 RUN nextflow
 
 COPY workflows workflows
 
-CMD [ "bash", "workflows/execute_workflows.sh" ]
\ No newline at end of file
+ENTRYPOINT [ "bash" ]
\ No newline at end of file
diff --git a/README.md b/README.md
index 5f5f3f977b9a1f0a7866e33564b0665d67f98d27..98e95f0f07e5af4aea4ff5de44c4c8dd3653981c 100644
--- a/README.md
+++ b/README.md
@@ -11,7 +11,7 @@ QuiVer Benchmarks is based on `ocrd/all:maximum` and has all OCR-D processors at
 - Docker >= 23.0.0
 - [Docker Compose plugin](https://docs.docker.com/compose/install/linux/#install-using-the-repository)
 
-To speed up QuiVer Benchmarks you can mount already downloaded text recognition models to `/usr/local/share/ocrd-resources/` in `docker compose.yml` by adding
+To speed up QuiVer Benchmarks you can mount already downloaded text recognition models to `/usr/local/share/ocrd-resources/` in `docker-compose.yml` by adding
 
 ```yml
 - path/to/your/models:/usr/local/share/ocrd-resources/
@@ -22,9 +22,12 @@ Otherwise, the tool will download all `ocrd-tesserocr-recognize` models as well
 
 ## Usage
 
-- clone this repository
+- clone this repository and switch to the cloned directory
 - (optional) [customize](#custom-workflows-and-data) QuiVer Benchmarks according to your needs
-- run `docker compose up --build`
+- build the image with `docker compose build`
+- spin up a container with `docker compose run -d app`
+- run `docker compose exec app bash prepare.sh`
+- run `docker compose exec app bash workflows/execute_workflows.sh`
 - the benchmarks and the evaluation results will be available at `data/workflows.json` on your host system
 
 ## Benchmarks Considered
diff --git a/data/workflows.json b/data/workflows.json
index aef35aa55c7f266422c4ea6df3eead048f1ba241..b377f0b605db2748574e2e5041fc832bcbc9e080 100644
--- a/data/workflows.json
+++ b/data/workflows.json
@@ -1,190 +1,108 @@
 [
     {
-        "eval_workflow_id": "wf-data16_frak_simple_selected_pages_ocr-eval",
-        "label": "Workflow on data 16_frak_simple_selected_pages_ocr",
+        "eval_workflow_id": "wf-data16_ant_complex_alberti_pictura_1540_minimal_ocr-eval",
+        "label": "Workflow on data 16_ant_complex_alberti_pictura_1540_minimal_ocr",
         "metadata": {
             "ocr_workflow": {
-                "@id": "https://github.com/OCR-D/quiver-back-end/blob/main/workflows/ocrd_workflows/selected_pages_ocr.txt",
-                "label": "OCR Workflow selected_pages_ocr"
+                "@id": "https://github.com/OCR-D/quiver-back-end/blob/main/workflows/ocrd_workflows/minimal_ocr.txt",
+                "label": "OCR Workflow minimal_ocr"
             },
             "eval_workflow": {
                 "@id": "https://github.com/OCR-D/quiver-back-end/blob/main/workflows/ocrd_workflows/dinglehopper_eval.txt",
                 "label": "Evaluation Workflow dinglehopper_eval"
             },
             "gt_workspace": {
-                "@id": "https://github.com/OCR-D/quiver-data/blob/main/16_frak_simple.ocrd.zip",
-                "label": "GT workspace 16th century Black letter simple layout"
+                "@id": "https://github.com/OCR-D/quiver-data/blob/main/16_ant_complex.ocrd.zip",
+                "label": "GT workspace 16th century Antiqua complex layout"
             },
             "ocr_workspace": {
-                "@id": "https://github.com/OCR-D/quiver-back-end/blob/main/workflows/results/16_frak_simple_selected_pages_ocr_ocr.zip",
-                "label": "OCR workspace for 16_frak_simple_selected_pages_ocr"
+                "@id": "https://github.com/OCR-D/quiver-back-end/blob/main/workflows/results/16_ant_complex_alberti_pictura_1540_minimal_ocr_ocr.zip",
+                "label": "OCR workspace for 16_ant_complex_alberti_pictura_1540_minimal_ocr"
             },
             "eval_workspace": {
-                "@id": "https://github.com/OCR-D/quiver-back-end/blob/main/workflows/results/16_frak_simple_selected_pages_ocr_evaluation.zip",
-                "label": "Evaluation workspace for 16_frak_simple_selected_pages_ocr"
+                "@id": "https://github.com/OCR-D/quiver-back-end/blob/main/workflows/results/16_ant_complex_alberti_pictura_1540_minimal_ocr_evaluation.zip",
+                "label": "Evaluation workspace for 16_ant_complex_alberti_pictura_1540_minimal_ocr"
             },
             "workflow_steps": [
                 {
-                    "id": "ocrd-cis-ocropy-binarize",
-                    "params": {
-                        "method": "ocropy",
-                        "threshold": 0.5,
-                        "grayscale": false,
-                        "maxskew": 0.0,
-                        "noise_maxsize": 0,
-                        "dpi": 0,
-                        "level-of-operation": "page"
-                    }
-                },
-                {
-                    "id": "ocrd-anybaseocr-crop",
-                    "params": {
-                        "dpi": 0,
-                        "rulerRatioMax": 50.0,
-                        "rulerRatioMin": 3.0,
-                        "rulerAreaMax": 0.3,
-                        "rulerAreaMin": 0.01,
-                        "rulerWidthMax": 0.95,
-                        "columnAreaMin": 0.05,
-                        "columnSepWidthMax": 0.04,
-                        "marginTop": 0.25,
-                        "marginBottom": 0.75,
-                        "marginLeft": 0.3,
-                        "marginRight": 0.7,
-                        "padding": 10
-                    }
-                },
-                {
-                    "id": "ocrd-skimage-binarize",
-                    "params": {
-                        "method": "li",
-                        "level-of-operation": "page",
-                        "dpi": 0,
-                        "window_size": 301,
-                        "k": 0.34
-                    }
-                },
-                {
-                    "id": "ocrd-skimage-denoise",
-                    "params": {
-                        "level-of-operation": "page",
-                        "dpi": 0,
-                        "protect": 0.0,
-                        "maxsize": 1.0
-                    }
-                },
-                {
-                    "id": "ocrd-tesserocr-deskew",
-                    "params": {
-                        "operation_level": "page",
-                        "dpi": 0,
-                        "min_orientation_confidence": 1.5
-                    }
-                },
-                {
-                    "id": "ocrd-cis-ocropy-segment",
-                    "params": {
-                        "level-of-operation": "page",
-                        "dpi": 0,
-                        "maxcolseps": 20,
-                        "maxseps": 20,
-                        "maximages": 10,
-                        "csminheight": 4,
-                        "hlminwidth": 10,
-                        "gap_height": 0.01,
-                        "gap_width": 1.5,
-                        "overwrite_order": true,
-                        "overwrite_separators": true,
-                        "overwrite_regions": true,
-                        "overwrite_lines": true,
-                        "spread": 2.4
-                    }
-                },
-                {
-                    "id": "ocrd-cis-ocropy-dewarp",
+                    "id": "ocrd-tesserocr-recognize",
                     "params": {
+                        "segmentation_level": "region",
+                        "textequiv_level": "word",
+                        "find_tables": true,
+                        "model": "Fraktur_GT4HistOCR",
                         "dpi": 0,
-                        "range": 4.0,
-                        "smoothness": 1.0,
-                        "max_neighbour": 0.05
-                    }
-                },
-                {
-                    "id": "ocrd-calamari-recognize",
-                    "params": {
-                        "checkpoint_dir": "qurator-gt4histocr-1.0",
-                        "voter": "confidence_voter_default_ctc",
-                        "textequiv_level": "line",
-                        "glyph_conf_cutoff": 0.001
+                        "padding": 0,
+                        "overwrite_segments": false,
+                        "overwrite_text": true,
+                        "shrink_polygons": false,
+                        "block_polygons": false,
+                        "find_staves": false,
+                        "sparse_text": false,
+                        "raw_lines": false,
+                        "char_whitelist": "",
+                        "char_blacklist": "",
+                        "char_unblacklist": "",
+                        "tesseract_parameters": {},
+                        "xpath_parameters": {},
+                        "xpath_model": {},
+                        "auto_model": false,
+                        "oem": "DEFAULT"
                     }
                 }
             ],
-            "workflow_model": "qurator-gt4histocr-1.0",
-            "eval_tool": "ocrd-calamari-recognize v1.0.5 (calamari 1.0.5, tensorflow 2.6.2)",
+            "workflow_model": "Fraktur_GT4HistOCR",
+            "eval_tool": "ocrd-dinglehopper vNone",
             "document_metadata": {
                 "data_properties": {
                     "fonts": [
+                        "Antiqua",
                         "Black Letter"
                     ],
                     "publication_century": "1500-1600",
                     "publication_decade": "",
                     "publication_year": "16th century",
-                    "number_of_pages": 6,
-                    "layout": "simple"
+                    "number_of_pages": 3,
+                    "layout": "complex"
                 }
             }
         },
         "evaluation_results": {
             "document_wide": {
-                "wall_time": 249.623269,
-                "cpu_time": 342.24125499999997,
-                "cer_mean": 0.12233144923609811,
-                "cer_median": 0.0697989946429397,
+                "wall_time": 7.386463,
+                "cpu_time": 9.83532,
+                "cer_mean": 0.10240852523716282,
+                "cer_median": 0.10536980749746708,
                 "cer_range": [
-                    0.05172413793103448,
-                    0.38848920863309355
+                    0.07124352331606218,
+                    0.1306122448979592
                 ],
-                "cer_standard_deviation": 0.13173038899014955,
-                "wer": 0.26886580164226287,
-                "pages_per_minute": 1.4421732454757652
+                "cer_standard_deviation": 0.02979493530847308,
+                "wer": 0.23466068901129858,
+                "pages_per_minute": 24.368902951250146
             },
             "by_page": [
-                {
-                    "page_id": "phys_0001",
-                    "cer": 0.10179640718562874,
-                    "wer": 0.3008849557522124
-                },
-                {
-                    "page_id": "phys_0002",
-                    "cer": 0.05238095238095238,
-                    "wer": 0.1568627450980392
-                },
-                {
-                    "page_id": "phys_0003",
-                    "cer": 0.38848920863309355,
-                    "wer": 0.44
-                },
                 {
                     "page_id": "phys_0007",
-                    "cer": 0.06255144032921811,
-                    "wer": 0.2766990291262136
+                    "cer": 0.07124352331606218,
+                    "wer": 0.2231404958677686
                 },
                 {
-                    "page_id": "phys_0021",
-                    "cer": 0.05172413793103448,
-                    "wer": 0.20833333333333334
+                    "page_id": "phys_0008",
+                    "cer": 0.10536980749746708,
+                    "wer": 0.2484472049689441
                 },
                 {
-                    "page_id": "phys_0029",
-                    "cer": 0.07704654895666131,
-                    "wer": 0.2304147465437788
+                    "page_id": "phys_0009",
+                    "cer": 0.1306122448979592,
+                    "wer": 0.2323943661971831
                 }
             ]
         }
     },
     {
-        "eval_workflow_id": "wf-data16_frak_simple_slower_processors_ocr-eval",
-        "label": "Workflow on data 16_frak_simple_slower_processors_ocr",
+        "eval_workflow_id": "wf-data18_frak_simple_lessing_menschengeschlecht_1780_slower_processors_ocr-eval",
+        "label": "Workflow on data 18_frak_simple_lessing_menschengeschlecht_1780_slower_processors_ocr",
         "metadata": {
             "ocr_workflow": {
                 "@id": "https://github.com/OCR-D/quiver-back-end/blob/main/workflows/ocrd_workflows/slower_processors_ocr.txt",
@@ -195,16 +113,16 @@
                 "label": "Evaluation Workflow dinglehopper_eval"
             },
             "gt_workspace": {
-                "@id": "https://github.com/OCR-D/quiver-data/blob/main/16_frak_simple.ocrd.zip",
-                "label": "GT workspace 16th century Black letter simple layout"
+                "@id": "https://github.com/OCR-D/quiver-data/blob/main/18_frak_simple.ocrd.zip",
+                "label": "GT workspace 18th century Black letter simple layout"
             },
             "ocr_workspace": {
-                "@id": "https://github.com/OCR-D/quiver-back-end/blob/main/workflows/results/16_frak_simple_slower_processors_ocr_ocr.zip",
-                "label": "OCR workspace for 16_frak_simple_slower_processors_ocr"
+                "@id": "https://github.com/OCR-D/quiver-back-end/blob/main/workflows/results/18_frak_simple_lessing_menschengeschlecht_1780_slower_processors_ocr_ocr.zip",
+                "label": "OCR workspace for 18_frak_simple_lessing_menschengeschlecht_1780_slower_processors_ocr"
             },
             "eval_workspace": {
-                "@id": "https://github.com/OCR-D/quiver-back-end/blob/main/workflows/results/16_frak_simple_slower_processors_ocr_evaluation.zip",
-                "label": "Evaluation workspace for 16_frak_simple_slower_processors_ocr"
+                "@id": "https://github.com/OCR-D/quiver-back-end/blob/main/workflows/results/18_frak_simple_lessing_menschengeschlecht_1780_slower_processors_ocr_evaluation.zip",
+                "label": "Evaluation workspace for 18_frak_simple_lessing_menschengeschlecht_1780_slower_processors_ocr"
             },
             "workflow_steps": [
                 {
@@ -319,157 +237,217 @@
             "document_metadata": {
                 "data_properties": {
                     "fonts": [
+                        "Antiqua",
                         "Black Letter"
                     ],
-                    "publication_century": "1500-1600",
+                    "publication_century": "1700-1800",
                     "publication_decade": "",
-                    "publication_year": "16th century",
-                    "number_of_pages": 6,
+                    "publication_year": "18th century",
+                    "number_of_pages": 1,
                     "layout": "simple"
                 }
             }
         },
         "evaluation_results": {
             "document_wide": {
-                "wall_time": 93.86911700000002,
-                "cpu_time": 135.81944000000001,
-                "cer_mean": 0.23049280809064063,
-                "cer_median": 0.09185773074661964,
+                "wall_time": 8.055356999999999,
+                "cpu_time": 12.105611,
+                "cer_mean": 0.0199501246882793,
+                "cer_median": 0.0199501246882793,
                 "cer_range": [
-                    0.0658682634730539,
-                    0.9568345323741008
+                    0.0199501246882793,
+                    0.0199501246882793
                 ],
-                "cer_standard_deviation": 0.3560945390007154,
-                "wer": 0.36710708997967917,
-                "pages_per_minute": 3.835127159020788
+                "cer_standard_deviation": null,
+                "wer": 0.09836065573770492,
+                "pages_per_minute": 7.44845945375233
             },
             "by_page": [
                 {
                     "page_id": "phys_0001",
-                    "cer": 0.0658682634730539,
-                    "wer": 0.18584070796460178
-                },
-                {
-                    "page_id": "phys_0002",
-                    "cer": 0.08412698412698413,
-                    "wer": 0.11764705882352941
-                },
-                {
-                    "page_id": "phys_0003",
-                    "cer": 0.9568345323741008,
-                    "wer": 0.9666666666666667
-                },
-                {
-                    "page_id": "phys_0007",
-                    "cer": 0.09958847736625515,
-                    "wer": 0.36893203883495146
-                },
-                {
-                    "page_id": "phys_0021",
-                    "cer": 0.10109717868338558,
-                    "wer": 0.2916666666666667
-                },
-                {
-                    "page_id": "phys_0029",
-                    "cer": 0.0754414125200642,
-                    "wer": 0.271889400921659
+                    "cer": 0.0199501246882793,
+                    "wer": 0.09836065573770492
                 }
             ]
         }
     },
     {
-        "eval_workflow_id": "wf-data19_frak_simple_minimal_ocr-eval",
-        "label": "Workflow on data 19_frak_simple_minimal_ocr",
+        "eval_workflow_id": "wf-data18_frak_complex_nn_besuch_1780_selected_pages_ocr-eval",
+        "label": "Workflow on data 18_frak_complex_nn_besuch_1780_selected_pages_ocr",
         "metadata": {
             "ocr_workflow": {
-                "@id": "https://github.com/OCR-D/quiver-back-end/blob/main/workflows/ocrd_workflows/minimal_ocr.txt",
-                "label": "OCR Workflow minimal_ocr"
+                "@id": "https://github.com/OCR-D/quiver-back-end/blob/main/workflows/ocrd_workflows/selected_pages_ocr.txt",
+                "label": "OCR Workflow selected_pages_ocr"
             },
             "eval_workflow": {
                 "@id": "https://github.com/OCR-D/quiver-back-end/blob/main/workflows/ocrd_workflows/dinglehopper_eval.txt",
                 "label": "Evaluation Workflow dinglehopper_eval"
             },
             "gt_workspace": {
-                "@id": "https://github.com/OCR-D/quiver-data/blob/main/19_frak_simple.ocrd.zip",
-                "label": "GT workspace 19th century Black letter simple layout"
+                "@id": "https://github.com/OCR-D/quiver-data/blob/main/18_frak_complex.ocrd.zip",
+                "label": "GT workspace 18th century Black letter complex layout"
             },
             "ocr_workspace": {
-                "@id": "https://github.com/OCR-D/quiver-back-end/blob/main/workflows/results/19_frak_simple_minimal_ocr_ocr.zip",
-                "label": "OCR workspace for 19_frak_simple_minimal_ocr"
+                "@id": "https://github.com/OCR-D/quiver-back-end/blob/main/workflows/results/18_frak_complex_nn_besuch_1780_selected_pages_ocr_ocr.zip",
+                "label": "OCR workspace for 18_frak_complex_nn_besuch_1780_selected_pages_ocr"
             },
             "eval_workspace": {
-                "@id": "https://github.com/OCR-D/quiver-back-end/blob/main/workflows/results/19_frak_simple_minimal_ocr_evaluation.zip",
-                "label": "Evaluation workspace for 19_frak_simple_minimal_ocr"
+                "@id": "https://github.com/OCR-D/quiver-back-end/blob/main/workflows/results/18_frak_complex_nn_besuch_1780_selected_pages_ocr_evaluation.zip",
+                "label": "Evaluation workspace for 18_frak_complex_nn_besuch_1780_selected_pages_ocr"
             },
             "workflow_steps": [
                 {
-                    "id": "ocrd-tesserocr-recognize",
+                    "id": "ocrd-cis-ocropy-binarize",
                     "params": {
-                        "segmentation_level": "region",
-                        "textequiv_level": "word",
-                        "find_tables": true,
-                        "model": "Fraktur_GT4HistOCR",
+                        "method": "ocropy",
+                        "threshold": 0.5,
+                        "grayscale": false,
+                        "maxskew": 0.0,
+                        "noise_maxsize": 0,
                         "dpi": 0,
-                        "padding": 0,
-                        "overwrite_segments": false,
-                        "overwrite_text": true,
-                        "shrink_polygons": false,
-                        "block_polygons": false,
-                        "find_staves": false,
-                        "sparse_text": false,
-                        "raw_lines": false,
-                        "char_whitelist": "",
-                        "char_blacklist": "",
-                        "char_unblacklist": "",
-                        "tesseract_parameters": {},
-                        "xpath_parameters": {},
-                        "xpath_model": {},
-                        "auto_model": false,
-                        "oem": "DEFAULT"
+                        "level-of-operation": "page"
                     }
-                }
-            ],
-            "workflow_model": "Fraktur_GT4HistOCR",
-            "eval_tool": "ocrd-dinglehopper vNone",
-            "document_metadata": {
-                "data_properties": {
-                    "fonts": [
-                        "Black Letter"
+                },
+                {
+                    "id": "ocrd-anybaseocr-crop",
+                    "params": {
+                        "dpi": 0,
+                        "rulerRatioMax": 50.0,
+                        "rulerRatioMin": 3.0,
+                        "rulerAreaMax": 0.3,
+                        "rulerAreaMin": 0.01,
+                        "rulerWidthMax": 0.95,
+                        "columnAreaMin": 0.05,
+                        "columnSepWidthMax": 0.04,
+                        "marginTop": 0.25,
+                        "marginBottom": 0.75,
+                        "marginLeft": 0.3,
+                        "marginRight": 0.7,
+                        "padding": 10
+                    }
+                },
+                {
+                    "id": "ocrd-skimage-binarize",
+                    "params": {
+                        "method": "li",
+                        "level-of-operation": "page",
+                        "dpi": 0,
+                        "window_size": 301,
+                        "k": 0.34
+                    }
+                },
+                {
+                    "id": "ocrd-skimage-denoise",
+                    "params": {
+                        "level-of-operation": "page",
+                        "dpi": 0,
+                        "protect": 0.0,
+                        "maxsize": 1.0
+                    }
+                },
+                {
+                    "id": "ocrd-tesserocr-deskew",
+                    "params": {
+                        "operation_level": "page",
+                        "dpi": 0,
+                        "min_orientation_confidence": 1.5
+                    }
+                },
+                {
+                    "id": "ocrd-cis-ocropy-segment",
+                    "params": {
+                        "level-of-operation": "page",
+                        "dpi": 0,
+                        "maxcolseps": 20,
+                        "maxseps": 20,
+                        "maximages": 10,
+                        "csminheight": 4,
+                        "hlminwidth": 10,
+                        "gap_height": 0.01,
+                        "gap_width": 1.5,
+                        "overwrite_order": true,
+                        "overwrite_separators": true,
+                        "overwrite_regions": true,
+                        "overwrite_lines": true,
+                        "spread": 2.4
+                    }
+                },
+                {
+                    "id": "ocrd-cis-ocropy-dewarp",
+                    "params": {
+                        "dpi": 0,
+                        "range": 4.0,
+                        "smoothness": 1.0,
+                        "max_neighbour": 0.05
+                    }
+                },
+                {
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-        "label": "Workflow on data 16_ant_simple_selected_pages_ocr",
+        "eval_workflow_id": "wf-data18_frak_complex_estor_rechtsgelehrsamkeit02_1758_selected_pages_ocr-eval",
+        "label": "Workflow on data 18_frak_complex_estor_rechtsgelehrsamkeit02_1758_selected_pages_ocr",
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@@ -480,16 +458,16 @@
                 "label": "Evaluation Workflow dinglehopper_eval"
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-                "label": "GT workspace 16th century Antiqua simple layout"
+                "@id": "https://github.com/OCR-D/quiver-data/blob/main/18_frak_complex.ocrd.zip",
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-                "label": "OCR workspace for 16_ant_simple_selected_pages_ocr"
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-                "label": "Evaluation workspace for 16_ant_simple_selected_pages_ocr"
+                "@id": "https://github.com/OCR-D/quiver-back-end/blob/main/workflows/results/18_frak_complex_estor_rechtsgelehrsamkeit02_1758_selected_pages_ocr_evaluation.zip",
+                "label": "Evaluation workspace for 18_frak_complex_estor_rechtsgelehrsamkeit02_1758_selected_pages_ocr"
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@@ -592,52 +570,58 @@
             "document_metadata": {
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-                        "Antiqua"
+                        "Antiqua",
+                        "Black Letter"
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@@ -648,16 +632,16 @@
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@@ -1061,11 +861,22 @@
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+                    "id": "ocrd-skimage-binarize",
                     "params": {
+                        "method": "li",
                         "level-of-operation": "page",
-                        "noise_maxsize": 3.0,
-                        "dpi": 0
+                        "dpi": 0,
+                        "window_size": 301,
+                        "k": 0.34
+                    }
+                },
+                {
+                    "id": "ocrd-skimage-denoise",
+                    "params": {
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+                        "dpi": 0,
+                        "protect": 0.0,
+                        "maxsize": 1.0
                     }
                 },
                 {
@@ -1077,28 +888,22 @@
                     }
                 },
                 {
-                    "id": "ocrd-tesserocr-segment",
+                    "id": "ocrd-cis-ocropy-segment",
                     "params": {
+                        "level-of-operation": "page",
                         "dpi": 0,
-                        "padding": 4,
-                        "shrink_polygons": false,
-                        "block_polygons": false,
-                        "find_tables": true,
-                        "find_staves": false,
-                        "sparse_text": false,
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-                        "segmentation_level": "region",
-                        "textequiv_level": "none",
-                        "overwrite_text": true,
-                        "raw_lines": false,
-                        "char_whitelist": "",
-                        "char_blacklist": "",
-                        "char_unblacklist": "",
-                        "tesseract_parameters": {},
-                        "xpath_parameters": {},
-                        "xpath_model": {},
-                        "auto_model": false,
-                        "oem": "DEFAULT"
+                        "maxcolseps": 20,
+                        "maxseps": 20,
+                        "maximages": 10,
+                        "csminheight": 4,
+                        "hlminwidth": 10,
+                        "gap_height": 0.01,
+                        "gap_width": 1.5,
+                        "overwrite_order": true,
+                        "overwrite_separators": true,
+                        "overwrite_regions": true,
+                        "overwrite_lines": true,
+                        "spread": 2.4
                     }
                 },
                 {
@@ -1111,73 +916,72 @@
                     }
                 },
                 {
-                    "id": "ocrd-tesserocr-recognize",
+                    "id": "ocrd-calamari-recognize",
                     "params": {
-                        "textequiv_level": "glyph",
-                        "overwrite_segments": true,
-                        "model": "Fraktur_GT4HistOCR",
-                        "dpi": 0,
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-                        "segmentation_level": "word",
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-                        "tesseract_parameters": {},
-                        "xpath_parameters": {},
-                        "xpath_model": {},
-                        "auto_model": false,
-                        "oem": "DEFAULT"
+                        "checkpoint_dir": "qurator-gt4histocr-1.0",
+                        "voter": "confidence_voter_default_ctc",
+                        "textequiv_level": "line",
+                        "glyph_conf_cutoff": 0.001
                     }
                 }
             ],
-            "workflow_model": "Fraktur_GT4HistOCR",
-            "eval_tool": "ocrd-dinglehopper vNone",
+            "workflow_model": "qurator-gt4histocr-1.0",
+            "eval_tool": "ocrd-calamari-recognize v1.0.5 (calamari 1.0.5, tensorflow 2.6.2)",
             "document_metadata": {
                 "data_properties": {
                     "fonts": [
+                        "Antiqua",
                         "Black Letter"
                     ],
-                    "publication_century": "1800-1900",
+                    "publication_century": "1700-1800",
                     "publication_decade": "",
-                    "publication_year": "19th century",
-                    "number_of_pages": 1,
-                    "layout": "simple"
+                    "publication_year": "18th century",
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-        "eval_workflow_id": "wf-data18_frak_simple_selected_pages_ocr-eval",
-        "label": "Workflow on data 18_frak_simple_selected_pages_ocr",
+        "eval_workflow_id": "wf-data18_frak_complex_luz_blitz_1784_selected_pages_ocr-eval",
+        "label": "Workflow on data 18_frak_complex_luz_blitz_1784_selected_pages_ocr",
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             "ocr_workflow": {
                 "@id": "https://github.com/OCR-D/quiver-back-end/blob/main/workflows/ocrd_workflows/selected_pages_ocr.txt",
@@ -1188,16 +992,16 @@
                 "label": "Evaluation Workflow dinglehopper_eval"
             },
             "gt_workspace": {
-                "@id": "https://github.com/OCR-D/quiver-data/blob/main/18_frak_simple.ocrd.zip",
-                "label": "GT workspace 18th century Black letter simple layout"
+                "@id": "https://github.com/OCR-D/quiver-data/blob/main/18_frak_complex.ocrd.zip",
+                "label": "GT workspace 18th century Black letter complex layout"
             },
             "ocr_workspace": {
-                "@id": "https://github.com/OCR-D/quiver-back-end/blob/main/workflows/results/18_frak_simple_selected_pages_ocr_ocr.zip",
-                "label": "OCR workspace for 18_frak_simple_selected_pages_ocr"
+                "@id": "https://github.com/OCR-D/quiver-back-end/blob/main/workflows/results/18_frak_complex_luz_blitz_1784_selected_pages_ocr_ocr.zip",
+                "label": "OCR workspace for 18_frak_complex_luz_blitz_1784_selected_pages_ocr"
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             "eval_workspace": {
-                "@id": "https://github.com/OCR-D/quiver-back-end/blob/main/workflows/results/18_frak_simple_selected_pages_ocr_evaluation.zip",
-                "label": "Evaluation workspace for 18_frak_simple_selected_pages_ocr"
+                "@id": "https://github.com/OCR-D/quiver-back-end/blob/main/workflows/results/18_frak_complex_luz_blitz_1784_selected_pages_ocr_evaluation.zip",
+                "label": "Evaluation workspace for 18_frak_complex_luz_blitz_1784_selected_pages_ocr"
             },
             "workflow_steps": [
                 {
@@ -1300,42 +1104,164 @@
             "document_metadata": {
                 "data_properties": {
                     "fonts": [
+                        "Antiqua",
                         "Black Letter"
                     ],
                     "publication_century": "1700-1800",
                     "publication_decade": "",
                     "publication_year": "18th century",
-                    "number_of_pages": 1,
-                    "layout": "simple"
+                    "number_of_pages": 4,
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                 "cer_range": [
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-                    0.02493765586034913
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+        "label": "Workflow on data 18_frak_complex_luz_blitz_1784_minimal_ocr",
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+                "@id": "https://github.com/OCR-D/quiver-back-end/blob/main/workflows/ocrd_workflows/minimal_ocr.txt",
+                "label": "OCR Workflow minimal_ocr"
+            },
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+            },
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+                "label": "OCR workspace for 18_frak_complex_luz_blitz_1784_minimal_ocr"
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+                "label": "Evaluation workspace for 18_frak_complex_luz_blitz_1784_minimal_ocr"
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-        "label": "Workflow on data 18_frak_simple_slower_processors_ocr",
+        "eval_workflow_id": "wf-data16_frak_simple_luther_auszlegunge_1520_slower_processors_ocr-eval",
+        "label": "Workflow on data 16_frak_simple_luther_auszlegunge_1520_slower_processors_ocr",
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@@ -1346,16 +1272,16 @@
                 "label": "Evaluation Workflow dinglehopper_eval"
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-                "@id": "https://github.com/OCR-D/quiver-data/blob/main/18_frak_simple.ocrd.zip",
-                "label": "GT workspace 18th century Black letter simple layout"
+                "@id": "https://github.com/OCR-D/quiver-data/blob/main/16_frak_simple.ocrd.zip",
+                "label": "GT workspace 16th century Black letter simple layout"
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-                "label": "OCR workspace for 18_frak_simple_slower_processors_ocr"
+                "@id": "https://github.com/OCR-D/quiver-back-end/blob/main/workflows/results/16_frak_simple_luther_auszlegunge_1520_slower_processors_ocr_ocr.zip",
+                "label": "OCR workspace for 16_frak_simple_luther_auszlegunge_1520_slower_processors_ocr"
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-                "label": "Evaluation workspace for 18_frak_simple_slower_processors_ocr"
+                "@id": "https://github.com/OCR-D/quiver-back-end/blob/main/workflows/results/16_frak_simple_luther_auszlegunge_1520_slower_processors_ocr_evaluation.zip",
+                "label": "Evaluation workspace for 16_frak_simple_luther_auszlegunge_1520_slower_processors_ocr"
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                 {
@@ -1470,62 +1396,68 @@
             "document_metadata": {
                 "data_properties": {
                     "fonts": [
+                        "Antiqua",
                         "Black Letter"
                     ],
-                    "publication_century": "1700-1800",
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-        "label": "Workflow on data 18_fontmix_complex_selected_pages_ocr",
+        "eval_workflow_id": "wf-data18_frak_complex_bernd_lebensbeschreibung_1738_slower_processors_ocr-eval",
+        "label": "Workflow on data 18_frak_complex_bernd_lebensbeschreibung_1738_slower_processors_ocr",
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-                "label": "OCR Workflow selected_pages_ocr"
+                "@id": "https://github.com/OCR-D/quiver-back-end/blob/main/workflows/ocrd_workflows/slower_processors_ocr.txt",
+                "label": "OCR Workflow slower_processors_ocr"
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                 "label": "Evaluation Workflow dinglehopper_eval"
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-                "label": "GT workspace 18th century Font Mix complex layout"
+                "@id": "https://github.com/OCR-D/quiver-data/blob/main/18_frak_complex.ocrd.zip",
+                "label": "GT workspace 18th century Black letter complex layout"
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-                "label": "OCR workspace for 18_fontmix_complex_selected_pages_ocr"
+                "@id": "https://github.com/OCR-D/quiver-back-end/blob/main/workflows/results/18_frak_complex_bernd_lebensbeschreibung_1738_slower_processors_ocr_ocr.zip",
+                "label": "OCR workspace for 18_frak_complex_bernd_lebensbeschreibung_1738_slower_processors_ocr"
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-                "label": "Evaluation workspace for 18_fontmix_complex_selected_pages_ocr"
+                "@id": "https://github.com/OCR-D/quiver-back-end/blob/main/workflows/results/18_frak_complex_bernd_lebensbeschreibung_1738_slower_processors_ocr_evaluation.zip",
+                "label": "Evaluation workspace for 18_frak_complex_bernd_lebensbeschreibung_1738_slower_processors_ocr"
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@@ -1559,22 +1491,11 @@
                     }
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-                        "window_size": 301,
-                        "k": 0.34
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                     "params": {
                         "level-of-operation": "page",
-                        "dpi": 0,
-                        "protect": 0.0,
-                        "maxsize": 1.0
+                        "noise_maxsize": 3.0,
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                 {
@@ -1586,22 +1507,28 @@
                     }
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-                    "id": "ocrd-cis-ocropy-segment",
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                         "dpi": 0,
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+                        "find_tables": true,
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+                        "overwrite_segments": true,
+                        "segmentation_level": "region",
+                        "textequiv_level": "none",
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+                        "char_whitelist": "",
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+                        "tesseract_parameters": {},
+                        "xpath_parameters": {},
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+                        "auto_model": false,
+                        "oem": "DEFAULT"
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                 {
@@ -1614,17 +1541,34 @@
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@@ -1805,16 +7016,16 @@
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+                "label": "GT workspace 17th century Black letter complex layout"
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-                "label": "OCR workspace for 18_fontmix_complex_minimal_ocr"
+                "@id": "https://github.com/OCR-D/quiver-back-end/blob/main/workflows/results/17_frak_complex_silesius_seelenlust01_1657_minimal_ocr_ocr.zip",
+                "label": "OCR workspace for 17_frak_complex_silesius_seelenlust01_1657_minimal_ocr"
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-                "label": "Evaluation workspace for 18_fontmix_complex_minimal_ocr"
+                "@id": "https://github.com/OCR-D/quiver-back-end/blob/main/workflows/results/17_frak_complex_silesius_seelenlust01_1657_minimal_ocr_evaluation.zip",
+                "label": "Evaluation workspace for 17_frak_complex_silesius_seelenlust01_1657_minimal_ocr"
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@@ -1852,90 +7063,175 @@
                         "Antiqua",
                         "Black Letter"
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-        "label": "Workflow on data 16_ant_simple_minimal_ocr",
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+        "label": "Workflow on data 18_frak_complex_luz_blitz_1784_slower_processors_ocr",
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-                "label": "OCR Workflow minimal_ocr"
+                "@id": "https://github.com/OCR-D/quiver-back-end/blob/main/workflows/ocrd_workflows/slower_processors_ocr.txt",
+                "label": "OCR Workflow slower_processors_ocr"
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-                "label": "GT workspace 16th century Antiqua simple layout"
+                "@id": "https://github.com/OCR-D/quiver-data/blob/main/18_frak_complex.ocrd.zip",
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-                "label": "Evaluation workspace for 16_ant_simple_minimal_ocr"
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-                        "textequiv_level": "word",
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+                    "params": {
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                         "model": "Fraktur_GT4HistOCR",
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                         "overwrite_text": true,
                         "shrink_polygons": false,
                         "block_polygons": false,
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@@ -1955,52 +7251,58 @@
             "document_metadata": {
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                     "fonts": [
-                        "Antiqua"
+                        "Antiqua",
+                        "Black Letter"
                     ],
-                    "publication_century": "1500-1600",
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                     "publication_decade": "",
-                    "publication_year": "16th century",
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-        "label": "Workflow on data 19_ant_simple_selected_pages_ocr",
+        "eval_workflow_id": "wf-data19_ant_simple_blumenbach_anatomie_1805_selected_pages_ocr-eval",
+        "label": "Workflow on data 19_ant_simple_blumenbach_anatomie_1805_selected_pages_ocr",
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@@ -2015,12 +7317,12 @@
                 "label": "GT workspace 19th century Antiqua simple layout"
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-                "label": "OCR workspace for 19_ant_simple_selected_pages_ocr"
+                "@id": "https://github.com/OCR-D/quiver-back-end/blob/main/workflows/results/19_ant_simple_blumenbach_anatomie_1805_selected_pages_ocr_ocr.zip",
+                "label": "OCR workspace for 19_ant_simple_blumenbach_anatomie_1805_selected_pages_ocr"
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-                "label": "Evaluation workspace for 19_ant_simple_selected_pages_ocr"
+                "@id": "https://github.com/OCR-D/quiver-back-end/blob/main/workflows/results/19_ant_simple_blumenbach_anatomie_1805_selected_pages_ocr_evaluation.zip",
+                "label": "Evaluation workspace for 19_ant_simple_blumenbach_anatomie_1805_selected_pages_ocr"
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@@ -2123,7 +7425,8 @@
             "document_metadata": {
                 "data_properties": {
                     "fonts": [
-                        "Antiqua"
+                        "Antiqua",
+                        "Black Letter"
                     ],
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@@ -2135,8 +7438,8 @@
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@@ -2167,8 +7470,8 @@
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-        "label": "Workflow on data 19_ant_simple_slower_processors_ocr",
+        "eval_workflow_id": "wf-data18_frak_complex_nn_besuch_1780_slower_processors_ocr-eval",
+        "label": "Workflow on data 18_frak_complex_nn_besuch_1780_slower_processors_ocr",
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@@ -2179,16 +7482,16 @@
                 "label": "Evaluation Workflow dinglehopper_eval"
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-                "label": "GT workspace 19th century Antiqua simple layout"
+                "@id": "https://github.com/OCR-D/quiver-data/blob/main/18_frak_complex.ocrd.zip",
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-                "label": "OCR workspace for 19_ant_simple_slower_processors_ocr"
+                "@id": "https://github.com/OCR-D/quiver-back-end/blob/main/workflows/results/18_frak_complex_nn_besuch_1780_slower_processors_ocr_ocr.zip",
+                "label": "OCR workspace for 18_frak_complex_nn_besuch_1780_slower_processors_ocr"
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-                "label": "Evaluation workspace for 19_ant_simple_slower_processors_ocr"
+                "@id": "https://github.com/OCR-D/quiver-back-end/blob/main/workflows/results/18_frak_complex_nn_besuch_1780_slower_processors_ocr_evaluation.zip",
+                "label": "Evaluation workspace for 18_frak_complex_nn_besuch_1780_slower_processors_ocr"
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@@ -2303,52 +7606,345 @@
             "document_metadata": {
                 "data_properties": {
                     "fonts": [
-                        "Antiqua"
+                        "Antiqua",
+                        "Black Letter"
                     ],
-                    "publication_century": "1800-1900",
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                     "publication_decade": "",
-                    "publication_year": "19th century",
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+                "label": "Evaluation workspace for 17_frak_complex_huebner_handbuch_1696_selected_pages_ocr"
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@@ -2828,133 +8351,122 @@
                     }
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+                    "id": "ocrd-skimage-binarize",
                     "params": {
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                         "level-of-operation": "page",
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                         "dpi": 0,
-                        "min_orientation_confidence": 1.5
+                        "window_size": 301,
+                        "k": 0.34
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                 },
                 {
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+                    "id": "ocrd-skimage-denoise",
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                         "dpi": 0,
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-                        "block_polygons": false,
-                        "find_tables": true,
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-                        "segmentation_level": "region",
-                        "textequiv_level": "none",
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-                        "tesseract_parameters": {},
-                        "xpath_parameters": {},
-                        "xpath_model": {},
-                        "auto_model": false,
-                        "oem": "DEFAULT"
+                        "protect": 0.0,
+                        "maxsize": 1.0
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                 {
-                    "id": "ocrd-cis-ocropy-dewarp",
+                    "id": "ocrd-tesserocr-deskew",
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                     "params": {
-                        "textequiv_level": "glyph",
-                        "overwrite_segments": true,
-                        "model": "Fraktur_GT4HistOCR",
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                         "dpi": 0,
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-                        "oem": "DEFAULT"
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+                        "spread": 2.4
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+                        "voter": "confidence_voter_default_ctc",
+                        "textequiv_level": "line",
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-            "eval_tool": "ocrd-dinglehopper vNone",
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                 "data_properties": {
                     "fonts": [
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                         "Black Letter"
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                     "publication_year": "17th century",
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-        "label": "Workflow on data 16_ant_complex_slower_processors_ocr",
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@@ -2965,16 +8477,16 @@
                 "label": "Evaluation Workflow dinglehopper_eval"
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-                "label": "GT workspace 16th century Antiqua complex layout"
+                "@id": "https://github.com/OCR-D/quiver-data/blob/main/17_frak_simple.ocrd.zip",
+                "label": "GT workspace 17th century Black letter simple layout"
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-                "label": "OCR workspace for 16_ant_complex_slower_processors_ocr"
+                "@id": "https://github.com/OCR-D/quiver-back-end/blob/main/workflows/results/17_frak_simple_calvi_beutelschneider01_1627_slower_processors_ocr_ocr.zip",
+                "label": "OCR workspace for 17_frak_simple_calvi_beutelschneider01_1627_slower_processors_ocr"
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-                "label": "Evaluation workspace for 16_ant_complex_slower_processors_ocr"
+                "@id": "https://github.com/OCR-D/quiver-back-end/blob/main/workflows/results/17_frak_simple_calvi_beutelschneider01_1627_slower_processors_ocr_evaluation.zip",
+                "label": "Evaluation workspace for 17_frak_simple_calvi_beutelschneider01_1627_slower_processors_ocr"
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@@ -3089,52 +8601,53 @@
             "document_metadata": {
                 "data_properties": {
                     "fonts": [
-                        "Antiqua"
+                        "Antiqua",
+                        "Black Letter"
                     ],
-                    "publication_century": "1500-1600",
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-                    "publication_year": "16th century",
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-        "label": "Workflow on data 17_frak_simple_minimal_ocr",
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+        "label": "Workflow on data 18_frak_complex_estor_rechtsgelehrsamkeit02_1758_minimal_ocr",
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@@ -3145,16 +8658,16 @@
                 "label": "Evaluation Workflow dinglehopper_eval"
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-                "label": "GT workspace 17th century Black letter simple layout"
+                "@id": "https://github.com/OCR-D/quiver-data/blob/main/18_frak_complex.ocrd.zip",
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-                "label": "OCR workspace for 17_frak_simple_minimal_ocr"
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-                "label": "Evaluation workspace for 17_frak_simple_minimal_ocr"
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+                "label": "Evaluation workspace for 18_frak_complex_estor_rechtsgelehrsamkeit02_1758_minimal_ocr"
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@@ -3189,52 +8702,58 @@
             "document_metadata": {
                 "data_properties": {
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                         "Black Letter"
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-        "label": "Workflow on data 16_ant_complex_selected_pages_ocr",
+        "eval_workflow_id": "wf-data17_frak_complex_silesius_seelenlust01_1657_selected_pages_ocr-eval",
+        "label": "Workflow on data 17_frak_complex_silesius_seelenlust01_1657_selected_pages_ocr",
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@@ -3245,16 +8764,16 @@
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-                "label": "GT workspace 16th century Antiqua complex layout"
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-                "label": "OCR workspace for 16_ant_complex_selected_pages_ocr"
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-                "label": "Evaluation workspace for 16_ant_complex_selected_pages_ocr"
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@@ -3357,167 +8876,98 @@
             "document_metadata": {
                 "data_properties": {
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+                        "Antiqua",
+                        "Black Letter"
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+                "@id": "https://github.com/OCR-D/quiver-back-end/blob/main/workflows/ocrd_workflows/minimal_ocr.txt",
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-                "label": "GT workspace 18th century Font Mix complex layout"
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-                "@id": "https://github.com/OCR-D/quiver-back-end/blob/main/workflows/results/18_fontmix_complex_slower_processors_ocr_evaluation.zip",
-                "label": "Evaluation workspace for 18_fontmix_complex_slower_processors_ocr"
+                "@id": "https://github.com/OCR-D/quiver-back-end/blob/main/workflows/results/18_frak_complex_euler_rechenkunst01_1738_minimal_ocr_evaluation.zip",
+                "label": "Evaluation workspace for 18_frak_complex_euler_rechenkunst01_1738_minimal_ocr"
             },
             "workflow_steps": [
-                {
-                    "id": "ocrd-cis-ocropy-binarize",
-                    "params": {
-                        "method": "ocropy",
-                        "threshold": 0.5,
-                        "grayscale": false,
-                        "maxskew": 0.0,
-                        "noise_maxsize": 0,
-                        "dpi": 0,
-                        "level-of-operation": "page"
-                    }
-                },
-                {
-                    "id": "ocrd-anybaseocr-crop",
-                    "params": {
-                        "dpi": 0,
-                        "rulerRatioMax": 50.0,
-                        "rulerRatioMin": 3.0,
-                        "rulerAreaMax": 0.3,
-                        "rulerAreaMin": 0.01,
-                        "rulerWidthMax": 0.95,
-                        "columnAreaMin": 0.05,
-                        "columnSepWidthMax": 0.04,
-                        "marginTop": 0.25,
-                        "marginBottom": 0.75,
-                        "marginLeft": 0.3,
-                        "marginRight": 0.7,
-                        "padding": 10
-                    }
-                },
-                {
-                    "id": "ocrd-cis-ocropy-denoise",
-                    "params": {
-                        "level-of-operation": "page",
-                        "noise_maxsize": 3.0,
-                        "dpi": 0
-                    }
-                },
-                {
-                    "id": "ocrd-tesserocr-deskew",
-                    "params": {
-                        "operation_level": "page",
-                        "dpi": 0,
-                        "min_orientation_confidence": 1.5
-                    }
-                },
-                {
-                    "id": "ocrd-tesserocr-segment",
-                    "params": {
-                        "dpi": 0,
-                        "padding": 4,
-                        "shrink_polygons": false,
-                        "block_polygons": false,
-                        "find_tables": true,
-                        "find_staves": false,
-                        "sparse_text": false,
-                        "overwrite_segments": true,
-                        "segmentation_level": "region",
-                        "textequiv_level": "none",
-                        "overwrite_text": true,
-                        "raw_lines": false,
-                        "char_whitelist": "",
-                        "char_blacklist": "",
-                        "char_unblacklist": "",
-                        "tesseract_parameters": {},
-                        "xpath_parameters": {},
-                        "xpath_model": {},
-                        "auto_model": false,
-                        "oem": "DEFAULT"
-                    }
-                },
-                {
-                    "id": "ocrd-cis-ocropy-dewarp",
-                    "params": {
-                        "dpi": 0,
-                        "range": 4.0,
-                        "smoothness": 1.0,
-                        "max_neighbour": 0.05
-                    }
-                },
                 {
                     "id": "ocrd-tesserocr-recognize",
                     "params": {
-                        "textequiv_level": "glyph",
-                        "overwrite_segments": true,
+                        "segmentation_level": "region",
+                        "textequiv_level": "word",
+                        "find_tables": true,
                         "model": "Fraktur_GT4HistOCR",
                         "dpi": 0,
                         "padding": 0,
-                        "segmentation_level": "word",
+                        "overwrite_segments": false,
                         "overwrite_text": true,
                         "shrink_polygons": false,
                         "block_polygons": false,
-                        "find_tables": true,
                         "find_staves": false,
                         "sparse_text": false,
                         "raw_lines": false,
@@ -3543,45 +8993,55 @@
                     "publication_century": "1700-1800",
                     "publication_decade": "",
                     "publication_year": "18th century",
-                    "number_of_pages": 4,
+                    "number_of_pages": 6,
                     "layout": "complex"
                 }
             }
         },
         "evaluation_results": {
             "document_wide": {
-                "wall_time": 72.53919699999999,
-                "cpu_time": 109.473651,
-                "cer_mean": 0.16726583056278752,
-                "cer_median": 0.09637318392327315,
+                "wall_time": 18.674437,
+                "cpu_time": 24.291901,
+                "cer_mean": 0.25835849983393794,
+                "cer_median": 0.230420483908856,
                 "cer_range": [
-                    0.03187250996015936,
-                    0.4444444444444444
+                    0.08586296617519515,
+                    0.5747368421052632
                 ],
-                "cer_standard_deviation": 0.18889822286887584,
-                "wer": 0.28912998545359864,
-                "pages_per_minute": 3.3085560624554478
+                "cer_standard_deviation": 0.16915619139008603,
+                "wer": 0.37827288927088376,
+                "pages_per_minute": 19.277689603172508
             },
             "by_page": [
                 {
                     "page_id": "phys_0001",
-                    "cer": 0.4444444444444444,
-                    "wer": 0.6204379562043796
+                    "cer": 0.08586296617519515,
+                    "wer": 0.10465116279069768
                 },
                 {
                     "page_id": "phys_0002",
-                    "cer": 0.03187250996015936,
-                    "wer": 0.10919540229885058
+                    "cer": 0.5747368421052632,
+                    "wer": 0.7987804878048781
                 },
                 {
                     "page_id": "phys_0003",
-                    "cer": 0.1266778523489933,
-                    "wer": 0.2681564245810056
+                    "cer": 0.2767102229054573,
+                    "wer": 0.3786407766990291
                 },
                 {
                     "page_id": "phys_0004",
-                    "cer": 0.06606851549755302,
-                    "wer": 0.15873015873015872
+                    "cer": 0.22828282828282828,
+                    "wer": 0.27741935483870966
+                },
+                {
+                    "page_id": "phys_0005",
+                    "cer": 0.152,
+                    "wer": 0.27218934911242604
+                },
+                {
+                    "page_id": "phys_0006",
+                    "cer": 0.23255813953488372,
+                    "wer": 0.43795620437956206
                 }
             ]
         }
diff --git a/default_data_sources.txt b/default_data_sources.txt
new file mode 100644
index 0000000000000000000000000000000000000000..d9b1ddd6ce17bbc7217efee73c9ee4885ccfb031
--- /dev/null
+++ b/default_data_sources.txt
@@ -0,0 +1,12 @@
+https://github.com/tboenig/16_frak_simple
+https://github.com/tboenig/17_frak_simple
+https://github.com/tboenig/17_frak_complex
+https://github.com/tboenig/18_frak_simple
+https://github.com/tboenig/18_frak_complex
+https://github.com/tboenig/19_frak_simple
+https://github.com/tboenig/16_ant_simple
+https://github.com/tboenig/16_ant_complex
+https://github.com/tboenig/18_ant_simple
+https://github.com/tboenig/19_ant_simple
+https://github.com/tboenig/17_fontmix_simple
+https://github.com/tboenig/18_fontmix_complex
diff --git a/docker-compose.yml b/docker-compose.yml
index 21b37d5d5ef6ec0f2cc52a8b36d680199fc87470..c4be3efcab37ce0cfade9e4bf3683676c53c90fa 100644
--- a/docker-compose.yml
+++ b/docker-compose.yml
@@ -1,14 +1,16 @@
 version: '3.4'
 
 services:
-  benchmarks:
+  app:
     build:
       context: .
       dockerfile: Dockerfile
     working_dir: /app
     volumes:
       - ./data:/app/data # this will write the results to your host system
+      - ./gt:/app/gt
       # mount your modules, custom workflows and data here
-      # - /path/to/models/on/host:/usr/local/share/ocrd-resources/
+      - ./models:/usr/local/share/ocrd-resources/
+      #- ./workflows:/app/workflows
       # - ./workflows/ocrd_workflows:/app/workflows/ocrd_workflows
       # - TODO/custom/data
\ No newline at end of file
diff --git a/prepare.sh b/prepare.sh
new file mode 100644
index 0000000000000000000000000000000000000000..cd60dcfa37f82000f312481a917e4ff01a0e6467
--- /dev/null
+++ b/prepare.sh
@@ -0,0 +1,41 @@
+#!/bin/bash
+
+mkdir gt
+
+while IFS= read -r URL; do
+    OWNER=$(echo "$URL" | cut -d'/' -f4)
+    REPO=$(echo "$URL" | cut -d'/' -f5)
+    if [[ ! -f gt/"$REPO".zip ]]; then
+        echo "Downloading $REPO …"
+        RESULT=$(curl -L \
+        -H "Accept: application/vnd.github+json" \
+        -H "X-GitHub-Api-Version: 2022-11-28" \
+        https://api.github.com/repos/"$OWNER"/"$REPO"/releases/latest)
+        ZIP_URL=$(echo  "$RESULT" | jq -r '.assets | .[].browser_download_url')
+        curl -L -o gt/"$REPO".zip "$ZIP_URL"
+    fi
+done < default_data_sources.txt
+
+cd gt || exit
+# the default data is structured like this:
+# repository_name.zip
+# |___ subordinate_work_1.zip
+# |___ subordinate_work_2.zip
+# |___ ...
+# $ZIP refers to the release itself which is on level "repository_name.zip"
+# the subordinate works are also OCR-D BagIts / zips. these are referred to by $INNER_ZIP.
+for ZIP in *.zip; do
+    NAME=$(echo "$ZIP" | cut -d"." -f1)
+    echo "Processing $NAME"
+    unzip -qq -d "$NAME" "$ZIP"
+    mv "$NAME"/ocrdzip_out/* "$NAME" && rm -r "$NAME"/ocrdzip_out
+    for INNER_ZIP in "$NAME"/*.zip; do
+        echo "Dealing with inner zip files …"
+        INNER_ZIP_NAME=$(basename "$INNER_ZIP" .ocrd.zip)
+        unzip -qq -d "$NAME"/"$INNER_ZIP_NAME" "$INNER_ZIP" && rm "$INNER_ZIP"
+
+        echo "Done."
+    done
+done
+
+echo " … and ready to go!"
diff --git a/src/benchmark_extraction.py b/src/benchmark_extraction.py
index 728b1b965b50af7b2e1b31a5fc911ff14046839e..2dfe6c2c4d29671f20ef6de3471455adf7d9cd98 100644
--- a/src/benchmark_extraction.py
+++ b/src/benchmark_extraction.py
@@ -8,7 +8,6 @@ from os import listdir, scandir
 from statistics import stdev, median
 from typing import Any, Dict, List, Union
 
-import yaml
 from .constants import METS, RESULTS, QUIVER_MAIN, OCRD
 
 
@@ -113,7 +112,7 @@ def get_gt_workspace(workspace_path: str) -> Dict[str, str]:
     if split_workspace_name[1] == 'ant':
         font = 'Antiqua'
     elif split_workspace_name[1] == 'frak':
-        font = 'Black letter'
+        font = 'Fraktur'
     else:
         font = 'Font Mix'
     url = 'https://github.com/OCR-D/quiver-data/blob/main/' + workspace_name_wo_workflow + '.ocrd.zip'
@@ -134,15 +133,15 @@ def get_document_metadata(workspace_path: str) -> Dict[str, Dict[str, str]]:
             'layout': ''
         }
     }
-    with open(workspace_path + '/METADATA.yml', 'r', encoding='utf-8') as file:
-        metadata = yaml.safe_load(file)
+    with open(workspace_path + '/metadata.json', 'r', encoding='utf-8') as file:
+        metadata = json.load(file)
         scripts = metadata['script']
         fonts = []
         for script in scripts:
             if script == 'Latn':
                 fonts.append('Antiqua')
             if script == 'Goth':
-                fonts.append('Black Letter')
+                fonts.append('Fraktur')
             if script == 'Hebr':
                 fonts.append('Hebrew')
             if script == 'Grek':
diff --git a/workflows/execute_workflows.sh b/workflows/execute_workflows.sh
index 0429460a9093a61e89ebf397133692ac7cb709da..5f3f59f70675edac6b98004ad885d0beb49b2bdf 100755
--- a/workflows/execute_workflows.sh
+++ b/workflows/execute_workflows.sh
@@ -5,19 +5,129 @@ WORKFLOW_DIR="$ROOT"/workflows
 OCRD_WORKFLOW_DIR="$WORKFLOW_DIR"/ocrd_workflows
 WORKSPACE_DIR="$WORKFLOW_DIR"/workspaces
 
-if [[ -d  workflows/workspaces ]]; then
+set -euo pipefail
+
+clean_up_dirs() {
+    if [[ -d  workflows/workspaces ]]; then
     rm -rf workflows/workspaces
-fi
+    fi
 
-if [[ -d  workflows/nf-results ]]; then
-    rm -rf workflows/nf-results
-fi
+    if [[ -d  workflows/nf-results ]]; then
+        rm -rf workflows/nf-results
+    fi
 
-if [[ -d  workflows/results ]]; then
-    rm -rf workflows/results
-fi
+    if [[ -d  workflows/results ]]; then
+        rm -rf workflows/results
+    fi
+}
 
-set -euo pipefail
+convert_ocrd_wfs_to_NextFlow() {
+    cd "$OCRD_WORKFLOW_DIR" || exit
+
+    echo "Convert OCR-D workflows to NextFlow …"
+
+    mkdir -p "$WORKFLOW_DIR/nf-results"
+
+    for FILE in *.txt
+    do
+        oton convert -I "$FILE" -O "$FILE".nf
+        # the venv part is not needed since we execute this in an image derived from ocrd/all:maximum
+        sed -i 's/source "${params.venv_path}"//g' "$FILE".nf
+        sed -i 's/deactivate//g' "$FILE".nf
+    done
+}
+
+download_models() {
+    echo "Download the necessary models if not available"
+    if [[ ! -f /usr/local/share/ocrd-resources/ocrd-tesserocr-recognize/ ]]
+    then
+        mkdir -p /usr/local/share/ocrd-resources/
+        ocrd resmgr download ocrd-tesserocr-recognize '*'
+    fi
+    if [[ ! -d /usr/local/share/ocrd-resources/ocrd-calamari-recognize/qurator-gt4histocr-1.0 ]]
+    then
+        mkdir -p /usr/local/share/ocrd-resources/
+        ocrd resmgr download ocrd-calamari-recognize qurator-gt4histocr-1.0
+    fi
+}
+
+create_wf_specific_workspaces() {
+    # execute this workflow on the existing data (incl. evaluation)
+    mkdir -p "$WORKSPACE_DIR"/tmp
+    cd "$WORKSPACE_DIR" || exit
+
+    # create workspace for all OCR workflows.
+    # each workflow has a separate workspace to work with.
+    echo "Create workflow specific workspaces for each dir in ./gt …"
+    for DIR in "$ROOT"/gt/*/; do
+        DIR_NAME=$(basename "$DIR")
+        if grep -q "multivolume work" <<< "$(cat $DIR/mets.xml)"; then
+            echo "$DIR_NAME is a multivolume work"
+
+            for WORKFLOW in "$OCRD_WORKFLOW_DIR"/*ocr.txt.nf
+            do
+                WF_NAME=$(basename -s .txt.nf "$WORKFLOW")
+                for SUB_WORK in $DIR/*/; do
+                    SUB_WORK_DIR_NAME=$(basename "$SUB_WORK")
+                    TARGET="$WORKSPACE_DIR"/tmp/"$DIR_NAME"_"$SUB_WORK_DIR_NAME"_"$WF_NAME"
+                    cp -r "$ROOT"/gt/"$DIR_NAME"/"$SUB_WORK_DIR_NAME" "$TARGET"
+                    if [[ -f "$ROOT"/gt/"$DIR_NAME"/metadata.json ]]; then
+                        cp -r "$ROOT"/gt/"$DIR_NAME"/metadata.json "$TARGET"/metadata.json
+                    fi
+                    cp "$WORKFLOW" "$TARGET"/data/
+                done
+
+            done
+        else
+            for WORKFLOW in "$OCRD_WORKFLOW_DIR"/*ocr.txt.nf
+            do
+                WF_NAME=$(basename -s .txt.nf "$WORKFLOW")
+                cp -r "$ROOT"/gt/"$DIR_NAME" "$WORKSPACE_DIR"/tmp/"$DIR_NAME"_"$WF_NAME"
+                cp "$WORKFLOW" "$WORKSPACE_DIR"/tmp/"$DIR_NAME"_"$WF_NAME"/
+            done
+        fi
+    done
+}
+
+clean_up_tmp_dirs() {
+    echo "Clean up intermediate dirs …"
+    for DIR in "$WORKSPACE_DIR"/tmp/*
+    do
+        DIR_NAME=$(basename "$DIR")
+        mv "$DIR" "$WORKSPACE_DIR"/"$DIR_NAME"
+        cp "$OCRD_WORKFLOW_DIR"/*eval.txt.nf "$WORKSPACE_DIR"/"$DIR_NAME"
+        ls "$WORKSPACE_DIR"/"$DIR_NAME"
+        cp -r "$WORKSPACE_DIR"/"$DIR_NAME"/data/* "$WORKSPACE_DIR"/"$DIR_NAME"/
+    done
+
+    rm -rf "$WORKSPACE_DIR"/tmp
+    rm -rf "$WORKSPACE_DIR"/log.log
+}
+
+execute_wfs_and_extract_benchmarks() {
+    mkdir -p "$ROOT"/workflows/results
+    # for all data sets…
+    for WS_DIR in "$WORKSPACE_DIR"/*
+    do
+        if [ -d "$WS_DIR" ]; then
+            echo "Switching to $WS_DIR."
+
+            DIR_NAME=$(basename $WS_DIR)
+
+            run "$WS_DIR"/*ocr.txt.nf "$DIR_NAME" "$WS_DIR"
+            run "$WS_DIR"/*eval.txt.nf "$DIR_NAME" "$WS_DIR"
+
+            # create a result JSON according to the specs          
+            echo "Get Benchmark JSON …"
+            quiver benchmarks-extraction "$WS_DIR" "$WORKFLOW"
+            echo "Done."
+
+            # move data to results dir
+            mv "$WS_DIR"/*.json "$WORKFLOW_DIR"/results
+        fi
+    done
+    cd "$ROOT" || exit
+}
 
 adjust_workflow_settings() {
     # $1: $WORKFLOW
@@ -68,103 +178,29 @@ save_workspaces() {
     mv "$WORKSPACE_DIR"/"$2".zip "$WORKFLOW_DIR"/results/"$2"_"$WORKFLOW_NAME".zip
 }
 
-cd "$OCRD_WORKFLOW_DIR" || exit
-
-echo "Convert OCR-D workflows to NextFlow …"
-
-mkdir -p "$WORKFLOW_DIR/nf-results"
-
-for FILE in *.txt
-do
-    oton convert -I "$FILE" -O "$FILE".nf
-    # the venv part is not needed since we execute this in an image derived from ocrd/all:maximum
-    sed -i 's/source "${params.venv_path}"//g' "$FILE".nf
-    sed -i 's/deactivate//g' "$FILE".nf
-done
-
-# download the necessary models if not available
-echo "Download the necessary models if not available"
-if [[ ! -f /usr/local/share/ocrd-resources/ocrd-tesserocr-recognize/ ]]
-then
-    mkdir -p /usr/local/share/ocrd-resources/
-    ocrd resmgr download ocrd-tesserocr-recognize '*'
-fi
-if [[ ! -d /usr/local/share/ocrd-resources/ocrd-calamari-recognize/qurator-gt4histocr-1.0 ]]
-then
-    mkdir -p /usr/local/share/ocrd-resources/
-    ocrd resmgr download ocrd-calamari-recognize qurator-gt4histocr-1.0
-fi
-
-# execute this workflow on the existing data (incl. evaluation)
-mkdir -p "$WORKSPACE_DIR"/tmp
-cd "$WORKSPACE_DIR" || exit
-
-# create workspace for all OCR workflows.
-# each workflow has a separate workspace to work with.
-
-echo "Restore OCR-D workspaces from BagIts and create workflow specific workspaces …"
-for BAGIT in "$ROOT"/submodules/quiver-data/*.zip
-do
-    BAGIT_NAME=$(basename -s .ocrd.zip "$BAGIT")
-    ocrd zip spill "$BAGIT" -d "$WORKSPACE_DIR"/tmp > "$WORKSPACE_DIR"/log.log
-    unzip "$BAGIT" METADATA.yml -d "$WORKSPACE_DIR"/tmp/"$BAGIT_NAME"
-
-    for WORKFLOW in "$OCRD_WORKFLOW_DIR"/*ocr.txt.nf
-    do
-        WF_NAME=$(basename -s .txt.nf "$WORKFLOW")
-        cp -r "$WORKSPACE_DIR"/tmp/"$BAGIT_NAME" "$WORKSPACE_DIR"/tmp/"$BAGIT_NAME"_"$WF_NAME"
-        cp "$WORKFLOW" "$WORKSPACE_DIR"/tmp/"$BAGIT_NAME"_"$WF_NAME"/
-    done
-    rm -r "$WORKSPACE_DIR"/tmp/"$BAGIT_NAME"
-done
-
-echo "Clean up intermediate dirs …"
-for DIR in "$WORKSPACE_DIR"/tmp/*
-do
-    DIR_NAME=$(basename "$DIR")
-    mv "$DIR" "$WORKSPACE_DIR"/"$DIR_NAME"
-    cp "$OCRD_WORKFLOW_DIR"/*eval.txt.nf "$WORKSPACE_DIR"/"$DIR_NAME"
-done
-
-rm -rf "$WORKSPACE_DIR"/tmp
-rm -rf "$WORKSPACE_DIR"/log.log
-
-# start webserver for evaluation
-uvicorn api:app --app-dir "$ROOT"/src &
-
-mkdir -p "$ROOT"/workflows/results
-
-# for all data sets…
-for WS_DIR in "$WORKSPACE_DIR"/*
-do
-    if [ -d "$WS_DIR" ]; then
-        echo "Switching to $WS_DIR."
-
-        DIR_NAME=$(basename $WS_DIR)
-
-        run "$WS_DIR"/*ocr.txt.nf "$DIR_NAME" "$WS_DIR"
-        run "$WS_DIR"/*eval.txt.nf "$DIR_NAME" "$WS_DIR"
-
-        # create a result JSON according to the specs          
-        echo "Get Benchmark JSON …"
-        quiver benchmarks-extraction "$WS_DIR" "$WORKFLOW"
-        echo "Done."
-
-        # move data to results dir
-        mv "$WS_DIR"/*.json "$WORKFLOW_DIR"/results
-    fi
-done
+summarize_to_data_json() {
+    # summarize JSONs
+    echo "Summarize JSONs to one file …"
+    quiver summarize-benchmarks
+    echo "Done."
+}
 
-cd "$ROOT" || exit
 
-# summarize JSONs
-echo "Summarize JSONs to one file …"
-quiver summarize-benchmarks
-echo "Done."
+final_clean_up() {
+    echo "Cleaning up …"
+    rm -rf "$WORKSPACE_DIR"
+    rm -rf "$ROOT"/work
+    rm -rf "$WORKFLOW_DIR"/nf-results
+    rm -rf "$WORKFLOW_DIR"/results
+    rm "$WORKFLOW_DIR"/ocrd_workflows/*.nf
+}
 
-echo "Cleaning up …"
-rm -rf "$WORKSPACE_DIR"
-rm -rf "$ROOT"/work
-rm -rf "$WORKFLOW_DIR"/nf-results
-rm -rf "$WORKFLOW_DIR"/results
-rm "$WORKFLOW_DIR"/ocrd_workflows/*.nf
+clean_up_dirs
+convert_ocrd_wfs_to_NextFlow
+download_models
+create_wf_specific_workspaces
+clean_up_tmp_dirs
+uvicorn api:app --app-dir "$ROOT"/src & # start webserver for evaluation
+execute_wfs_and_extract_benchmarks
+summarize_to_data_json
+final_clean_up