From 3a2c7272762d481a7a6ec22265b5d6e7e96bdb8b Mon Sep 17 00:00:00 2001
From: mweidling <13831557+mweidling@users.noreply.github.com>
Date: Wed, 19 Apr 2023 12:06:55 +0200
Subject: [PATCH] Add reichsanzeiger gt (#5)

* feat: add Reichsanzeiger-GT to prepare.sh

* add Reichsanzeiger subsets

* add download for Reichsanzeiger subsets

* add first draft for reichsanzeiger gt

* extract sample bundles

* update .gitignore

* clean up

* tidy up project root

* tidy up volumes

* update README

* update data

* build: roll back to version where cis runs still runs

* build: remove default model mounting
---
 .gitignore                                    |    3 +-
 Dockerfile                                    |    7 +-
 README.md                                     |    2 +-
 data/workflows.json                           | 8857 +++--------------
 .../default_data_sources.txt                  |    0
 data_srcs/reichsanzeiger_full.txt             |    1 +
 data_srcs/reichsanzeiger_many_ads.list        |    5 +
 data_srcs/reichsanzeiger_random.list          |    6 +
 data_srcs/reichsanzeiger_tables.list          |    5 +
 data_srcs/reichsanzeiger_title_pages.list     |    5 +
 docker-compose.yml                            |    5 +-
 prepare.sh                                    |   41 -
 scripts/convert-yml-to-json.py                |   22 +
 scripts/prepare.sh                            |   98 +
 scripts/prepare_reichsanzeiger_sets.sh        |   68 +
 src/benchmark_extraction.py                   |   18 +-
 workflows/execute_workflows.sh                |   54 +-
 17 files changed, 1542 insertions(+), 7655 deletions(-)
 rename default_data_sources.txt => data_srcs/default_data_sources.txt (100%)
 create mode 100644 data_srcs/reichsanzeiger_full.txt
 create mode 100644 data_srcs/reichsanzeiger_many_ads.list
 create mode 100644 data_srcs/reichsanzeiger_random.list
 create mode 100644 data_srcs/reichsanzeiger_tables.list
 create mode 100644 data_srcs/reichsanzeiger_title_pages.list
 delete mode 100644 prepare.sh
 create mode 100644 scripts/convert-yml-to-json.py
 create mode 100644 scripts/prepare.sh
 create mode 100644 scripts/prepare_reichsanzeiger_sets.sh

diff --git a/.gitignore b/.gitignore
index 77ec93a..5b5e2ef 100644
--- a/.gitignore
+++ b/.gitignore
@@ -6,7 +6,8 @@ workflows/workspaces
 work/
 workflows/nf-results/*
 workflows/results
-workflows/ocrd-workflows/*.nf
+workflows/ocrd_workflows/*.nf
 models
 .idea
 gt/*
+build/
diff --git a/Dockerfile b/Dockerfile
index ae906df..fe94011 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -1,4 +1,4 @@
-FROM ocrd/all:maximum
+FROM ocrd/all:2023-02-07
 
 WORKDIR /app
 
@@ -12,6 +12,8 @@ RUN apt-get install -y --fix-missing openjdk-11-jre
 COPY src src
 COPY setup.py setup.py
 COPY README.md README.md
+COPY scripts scripts
+COPY data_srcs data_srcs
 
 RUN git init
 RUN git submodule add https://github.com/MehmedGIT/OtoN_Converter submodules/oton
@@ -22,9 +24,6 @@ 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
diff --git a/README.md b/README.md
index 98e95f0..d065e1f 100644
--- a/README.md
+++ b/README.md
@@ -26,7 +26,7 @@ Otherwise, the tool will download all `ocrd-tesserocr-recognize` models as well
 - (optional) [customize](#custom-workflows-and-data) QuiVer Benchmarks according to your needs
 - 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 scripts/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
 
diff --git a/data/workflows.json b/data/workflows.json
index b377f0b..bbc48ae 100644
--- a/data/workflows.json
+++ b/data/workflows.json
@@ -1,7 +1,7 @@
 [
     {
-        "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",
+        "eval_workflow_id": "wf-datareichsanzeiger_tables-eval",
+        "label": "Workflow on data reichsanzeiger_tables",
         "metadata": {
             "ocr_workflow": {
                 "@id": "https://github.com/OCR-D/quiver-back-end/blob/main/workflows/ocrd_workflows/minimal_ocr.txt",
@@ -12,16 +12,16 @@
                 "label": "Evaluation Workflow dinglehopper_eval"
             },
             "gt_workspace": {
-                "@id": "https://github.com/OCR-D/quiver-data/blob/main/16_ant_complex.ocrd.zip",
-                "label": "GT workspace 16th century Antiqua complex layout"
+                "@id": "https://github.com/OCR-D/quiver-data/blob/main/reichsanzeiger_tables.ocrd.zip",
+                "label": "GT workspace reichsanzeiger_tables"
             },
             "ocr_workspace": {
-                "@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"
+                "@id": "https://github.com/OCR-D/quiver-back-end/blob/main/workflows/results/reichsanzeiger_tables_ocr.zip",
+                "label": "OCR workspace for reichsanzeiger_tables"
             },
             "eval_workspace": {
-                "@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"
+                "@id": "https://github.com/OCR-D/quiver-back-end/blob/main/workflows/results/reichsanzeiger_tables_evaluation.zip",
+                "label": "Evaluation workspace for reichsanzeiger_tables"
             },
             "workflow_steps": [
                 {
@@ -56,5863 +56,62 @@
             "document_metadata": {
                 "data_properties": {
                     "fonts": [
-                        "Antiqua",
-                        "Black Letter"
-                    ],
-                    "publication_century": "1500-1600",
-                    "publication_decade": "",
-                    "publication_year": "16th century",
-                    "number_of_pages": 3,
-                    "layout": "complex"
-                }
-            }
-        },
-        "evaluation_results": {
-            "document_wide": {
-                "wall_time": 7.386463,
-                "cpu_time": 9.83532,
-                "cer_mean": 0.10240852523716282,
-                "cer_median": 0.10536980749746708,
-                "cer_range": [
-                    0.07124352331606218,
-                    0.1306122448979592
-                ],
-                "cer_standard_deviation": 0.02979493530847308,
-                "wer": 0.23466068901129858,
-                "pages_per_minute": 24.368902951250146
-            },
-            "by_page": [
-                {
-                    "page_id": "phys_0007",
-                    "cer": 0.07124352331606218,
-                    "wer": 0.2231404958677686
-                },
-                {
-                    "page_id": "phys_0008",
-                    "cer": 0.10536980749746708,
-                    "wer": 0.2484472049689441
-                },
-                {
-                    "page_id": "phys_0009",
-                    "cer": 0.1306122448979592,
-                    "wer": 0.2323943661971831
-                }
-            ]
-        }
-    },
-    {
-        "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",
-                "label": "OCR Workflow slower_processors_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/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/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/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": [
-                {
-                    "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,
-                        "model": "Fraktur_GT4HistOCR",
-                        "dpi": 0,
-                        "padding": 0,
-                        "segmentation_level": "word",
-                        "overwrite_text": true,
-                        "shrink_polygons": false,
-                        "block_polygons": false,
-                        "find_tables": true,
-                        "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": "Fraktur_GT4HistOCR",
-            "eval_tool": "ocrd-dinglehopper vNone",
-            "document_metadata": {
-                "data_properties": {
-                    "fonts": [
-                        "Antiqua",
-                        "Black Letter"
-                    ],
-                    "publication_century": "1700-1800",
-                    "publication_decade": "",
-                    "publication_year": "18th century",
-                    "number_of_pages": 1,
-                    "layout": "simple"
-                }
-            }
-        },
-        "evaluation_results": {
-            "document_wide": {
-                "wall_time": 8.055356999999999,
-                "cpu_time": 12.105611,
-                "cer_mean": 0.0199501246882793,
-                "cer_median": 0.0199501246882793,
-                "cer_range": [
-                    0.0199501246882793,
-                    0.0199501246882793
-                ],
-                "cer_standard_deviation": null,
-                "wer": 0.09836065573770492,
-                "pages_per_minute": 7.44845945375233
-            },
-            "by_page": [
-                {
-                    "page_id": "phys_0001",
-                    "cer": 0.0199501246882793,
-                    "wer": 0.09836065573770492
-                }
-            ]
-        }
-    },
-    {
-        "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/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/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_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/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-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",
-                    "params": {
-                        "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
-                    }
-                }
-            ],
-            "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": "1700-1800",
-                    "publication_decade": "",
-                    "publication_year": "18th century",
-                    "number_of_pages": 4,
-                    "layout": "complex"
-                }
-            }
-        },
-        "evaluation_results": {
-            "document_wide": {
-                "wall_time": 76.547632,
-                "cpu_time": 113.81064699999999,
-                "cer_mean": 0.05959514724403742,
-                "cer_median": 0.0324919239726542,
-                "cer_range": [
-                    0.008839779005524863,
-                    0.16455696202531644
-                ],
-                "cer_standard_deviation": 0.07087591559854228,
-                "wer": 0.13238323035014285,
-                "pages_per_minute": 3.1353027354262246
-            },
-            "by_page": [
-                {
-                    "page_id": "phys_00001",
-                    "cer": 0.16455696202531644,
-                    "wer": 0.27586206896551724
-                },
-                {
-                    "page_id": "phys_00002",
-                    "cer": 0.008839779005524863,
-                    "wer": 0.04046242774566474
-                },
-                {
-                    "page_id": "phys_00003",
-                    "cer": 0.030501089324618737,
-                    "wer": 0.09826589595375723
-                },
-                {
-                    "page_id": "phys_00004",
-                    "cer": 0.034482758620689655,
-                    "wer": 0.11494252873563218
-                }
-            ]
-        }
-    },
-    {
-        "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",
-        "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"
-            },
-            "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/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_complex_estor_rechtsgelehrsamkeit02_1758_selected_pages_ocr_ocr.zip",
-                "label": "OCR workspace for 18_frak_complex_estor_rechtsgelehrsamkeit02_1758_selected_pages_ocr"
-            },
-            "eval_workspace": {
-                "@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"
-            },
-            "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": {
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@@ -5923,16 +122,16 @@
                 "label": "Evaluation Workflow dinglehopper_eval"
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@@ -5968,385 +167,279 @@
                 "data_properties": {
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                         "Antiqua",
-                        "Black Letter"
+                        "Fraktur"
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@@ -6357,16 +450,16 @@
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-                "label": "GT workspace 18th century Black letter complex layout"
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@@ -6402,7 +495,7 @@
                 "data_properties": {
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                         "Antiqua",
-                        "Black Letter"
+                        "Fraktur"
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@@ -6414,8 +507,8 @@
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@@ -6453,16 +546,16 @@
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-                "label": "GT workspace 18th century Antiqua simple layout"
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-                "label": "OCR workspace for 18_ant_simple_ballenstedt_delatio_1777_minimal_ocr"
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@@ -6498,11 +591,11 @@
                 "data_properties": {
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+                        "Fraktur"
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@@ -6510,40 +603,40 @@
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@@ -6554,16 +647,16 @@
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-                "label": "OCR workspace for 17_frak_complex_huebner_handbuch_1696_minimal_ocr"
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@@ -6599,134 +692,200 @@
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+                        "Fraktur"
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                         "auto_model": false,
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@@ -6779,7 +1004,7 @@
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+                    "id": "ocrd-tesserocr-recognize",
                     "params": {
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+                        "textequiv_level": "word",
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                         "dpi": 0,
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                         "char_whitelist": "",
                         "char_blacklist": "",
@@ -6907,29 +1087,95 @@
                         "auto_model": false,
                         "oem": "DEFAULT"
                     }
+                }
+            ],
+            "workflow_model": "Fraktur_GT4HistOCR",
+            "eval_tool": "ocrd-dinglehopper vNone",
+            "document_metadata": {
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+                        "Antiqua",
+                        "Fraktur"
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+                    "publication_year": "19th century",
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+        "label": "Workflow on data reichsanzeiger_title_pages",
+        "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"
+            },
+            "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/reichsanzeiger_title_pages.ocrd.zip",
+                "label": "GT workspace reichsanzeiger_title_pages"
+            },
+            "ocr_workspace": {
+                "@id": "https://github.com/OCR-D/quiver-back-end/blob/main/workflows/results/reichsanzeiger_title_pages_ocr.zip",
+                "label": "OCR workspace for reichsanzeiger_title_pages"
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+                "@id": "https://github.com/OCR-D/quiver-back-end/blob/main/workflows/results/reichsanzeiger_title_pages_evaluation.zip",
+                "label": "Evaluation workspace for reichsanzeiger_title_pages"
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@@ -6949,63 +1195,62 @@
             "document_metadata": {
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-                        "Black Letter"
+                        "Antiqua"
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@@ -7016,16 +1261,16 @@
                 "label": "Evaluation Workflow dinglehopper_eval"
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-                "label": "GT workspace 17th century Black letter complex layout"
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-                "label": "OCR workspace for 17_frak_complex_silesius_seelenlust01_1657_minimal_ocr"
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-                "label": "Evaluation workspace for 17_frak_complex_silesius_seelenlust01_1657_minimal_ocr"
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@@ -7061,144 +1306,84 @@
                 "data_properties": {
                     "fonts": [
                         "Antiqua",
-                        "Black Letter"
+                        "Fraktur"
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@@ -7209,29 +1394,95 @@
                         "auto_model": false,
                         "oem": "DEFAULT"
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+                "label": "GT workspace nn_besuch_1780"
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+                "label": "OCR workspace for nn_besuch_1780"
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@@ -7252,7 +1503,7 @@
                 "data_properties": {
                     "fonts": [
                         "Antiqua",
-                        "Black Letter"
+                        "Fraktur"
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                     "publication_century": "1700-1800",
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@@ -7264,173 +1515,105 @@
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-                "label": "GT workspace 19th century Antiqua simple layout"
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+                "@id": "https://github.com/OCR-D/quiver-back-end/blob/main/workflows/results/ballenstedt_delatio_1777_ocr.zip",
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+                "@id": "https://github.com/OCR-D/quiver-back-end/blob/main/workflows/results/ballenstedt_delatio_1777_evaluation.zip",
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-            "eval_tool": "ocrd-calamari-recognize v1.0.5 (calamari 1.0.5, tensorflow 2.6.2)",
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             "document_metadata": {
                 "data_properties": {
                     "fonts": [
                         "Antiqua",
-                        "Black Letter"
+                        "Fraktur"
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@@ -7438,155 +1621,75 @@
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-        "label": "Workflow on data 18_frak_complex_nn_besuch_1780_slower_processors_ocr",
+        "eval_workflow_id": "wf-datareichsanzeiger_many_ads-eval",
+        "label": "Workflow on data reichsanzeiger_many_ads",
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-                "label": "OCR Workflow slower_processors_ocr"
+                "@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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-                "label": "GT workspace 18th century Black letter complex layout"
+                "@id": "https://github.com/OCR-D/quiver-data/blob/main/reichsanzeiger_many_ads.ocrd.zip",
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+                "@id": "https://github.com/OCR-D/quiver-back-end/blob/main/workflows/results/reichsanzeiger_many_ads_ocr.zip",
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+                "@id": "https://github.com/OCR-D/quiver-back-end/blob/main/workflows/results/reichsanzeiger_many_ads_evaluation.zip",
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@@ -7606,173 +1709,97 @@
             "document_metadata": {
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-                        "Black Letter"
+                        "Antiqua"
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                 {
                     "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",
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                         "overwrite_text": true,
                         "shrink_polygons": false,
                         "block_polygons": false,
-                        "find_tables": true,
                         "find_staves": false,
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                         "raw_lines": false,
@@ -7793,11 +1820,11 @@
                 "data_properties": {
                     "fonts": [
                         "Antiqua",
-                        "Black Letter"
+                        "Fraktur"
                     ],
-                    "publication_century": "1600-1700",
+                    "publication_century": "1700-1800",
                     "publication_decade": "",
-                    "publication_year": "17th century",
+                    "publication_year": "18th century",
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@@ -7805,40 +1832,40 @@
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-        "label": "Workflow on data 18_frak_complex_justi_abhandlung01_1758_minimal_ocr",
+        "eval_workflow_id": "wf-dataweigel_gnothi02_1618-eval",
+        "label": "Workflow on data weigel_gnothi02_1618",
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@@ -7849,16 +1876,16 @@
                 "label": "Evaluation Workflow dinglehopper_eval"
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-                "@id": "https://github.com/OCR-D/quiver-data/blob/main/18_frak_complex.ocrd.zip",
-                "label": "GT workspace 18th century Black letter complex layout"
+                "@id": "https://github.com/OCR-D/quiver-data/blob/main/weigel_gnothi02_1618.ocrd.zip",
+                "label": "GT workspace weigel_gnothi02_1618"
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             "ocr_workspace": {
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-                "label": "OCR workspace for 18_frak_complex_justi_abhandlung01_1758_minimal_ocr"
+                "@id": "https://github.com/OCR-D/quiver-back-end/blob/main/workflows/results/weigel_gnothi02_1618_ocr.zip",
+                "label": "OCR workspace for weigel_gnothi02_1618"
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             "eval_workspace": {
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-                "label": "Evaluation workspace for 18_frak_complex_justi_abhandlung01_1758_minimal_ocr"
+                "@id": "https://github.com/OCR-D/quiver-back-end/blob/main/workflows/results/weigel_gnothi02_1618_evaluation.zip",
+                "label": "Evaluation workspace for weigel_gnothi02_1618"
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                 {
@@ -7894,694 +1921,385 @@
                 "data_properties": {
                     "fonts": [
                         "Antiqua",
-                        "Black Letter"
+                        "Fraktur"
                     ],
-                    "publication_century": "1700-1800",
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-                    "publication_year": "18th century",
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-        "label": "Workflow on data 18_frak_complex_euler_rechenkunst01_1738_selected_pages_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/minimal_ocr.txt",
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-                "label": "GT workspace 18th century Black letter complex layout"
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-                "label": "OCR workspace for 18_frak_complex_euler_rechenkunst01_1738_selected_pages_ocr"
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@@ -8602,52 +2320,57 @@
                 "data_properties": {
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+                        "Fraktur"
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@@ -8658,16 +2381,16 @@
                 "label": "Evaluation Workflow dinglehopper_eval"
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-                "label": "GT workspace 18th century Black letter complex layout"
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-                "label": "OCR workspace for 18_frak_complex_estor_rechtsgelehrsamkeit02_1758_minimal_ocr"
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-                "label": "Evaluation workspace for 18_frak_complex_estor_rechtsgelehrsamkeit02_1758_minimal_ocr"
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@@ -8703,7 +2426,7 @@
                 "data_properties": {
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                         "Antiqua",
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+                        "Fraktur"
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@@ -8715,8 +2438,8 @@
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@@ -8725,7 +2448,7 @@
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@@ -8752,187 +2475,210 @@
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+        "label": "Workflow on data trota_mordtbrenner_1540",
         "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/17_frak_complex.ocrd.zip",
-                "label": "GT workspace 17th century Black letter complex layout"
+                "@id": "https://github.com/OCR-D/quiver-data/blob/main/trota_mordtbrenner_1540.ocrd.zip",
+                "label": "GT workspace trota_mordtbrenner_1540"
             },
             "ocr_workspace": {
-                "@id": "https://github.com/OCR-D/quiver-back-end/blob/main/workflows/results/17_frak_complex_silesius_seelenlust01_1657_selected_pages_ocr_ocr.zip",
-                "label": "OCR workspace for 17_frak_complex_silesius_seelenlust01_1657_selected_pages_ocr"
+                "@id": "https://github.com/OCR-D/quiver-back-end/blob/main/workflows/results/trota_mordtbrenner_1540_ocr.zip",
+                "label": "OCR workspace for trota_mordtbrenner_1540"
             },
             "eval_workspace": {
-                "@id": "https://github.com/OCR-D/quiver-back-end/blob/main/workflows/results/17_frak_complex_silesius_seelenlust01_1657_selected_pages_ocr_evaluation.zip",
-                "label": "Evaluation workspace for 17_frak_complex_silesius_seelenlust01_1657_selected_pages_ocr"
+                "@id": "https://github.com/OCR-D/quiver-back-end/blob/main/workflows/results/trota_mordtbrenner_1540_evaluation.zip",
+                "label": "Evaluation workspace for trota_mordtbrenner_1540"
             },
             "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",
+                    "id": "ocrd-tesserocr-recognize",
                     "params": {
-                        "level-of-operation": "page",
+                        "segmentation_level": "region",
+                        "textequiv_level": "word",
+                        "find_tables": true,
+                        "model": "Fraktur_GT4HistOCR",
                         "dpi": 0,
-                        "protect": 0.0,
-                        "maxsize": 1.0
+                        "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"
                     }
-                },
+                }
+            ],
+            "workflow_model": "Fraktur_GT4HistOCR",
+            "eval_tool": "ocrd-dinglehopper vNone",
+            "document_metadata": {
+                "data_properties": {
+                    "fonts": [
+                        "Antiqua",
+                        "Fraktur"
+                    ],
+                    "publication_century": "1500-1600",
+                    "publication_decade": "",
+                    "publication_year": "16th century",
+                    "number_of_pages": 2,
+                    "layout": "simple"
+                }
+            }
+        },
+        "evaluation_results": {
+            "document_wide": {
+                "wall_time": 7.192959,
+                "cpu_time": 8.533417,
+                "cer_mean": 0.043071000855431994,
+                "cer_median": 0.043071000855431994,
+                "cer_range": [
+                    0.014285714285714285,
+                    0.0718562874251497
+                ],
+                "cer_standard_deviation": 0.04070854266369089,
+                "wer": 0.10714905431199029,
+                "pages_per_minute": 16.682981232063188
+            },
+            "by_page": [
                 {
-                    "id": "ocrd-tesserocr-deskew",
-                    "params": {
-                        "operation_level": "page",
-                        "dpi": 0,
-                        "min_orientation_confidence": 1.5
-                    }
+                    "page_id": "phys_0001",
+                    "cer": 0.0718562874251497,
+                    "wer": 0.19469026548672566
                 },
                 {
-                    "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
-                    }
-                },
+                    "page_id": "phys_0002",
+                    "cer": 0.014285714285714285,
+                    "wer": 0.0196078431372549
+                }
+            ]
+        }
+    },
+    {
+        "eval_workflow_id": "wf-datajusti_abhandlung01_1758-eval",
+        "label": "Workflow on data justi_abhandlung01_1758",
+        "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"
+            },
+            "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/justi_abhandlung01_1758.ocrd.zip",
+                "label": "GT workspace justi_abhandlung01_1758"
+            },
+            "ocr_workspace": {
+                "@id": "https://github.com/OCR-D/quiver-back-end/blob/main/workflows/results/justi_abhandlung01_1758_ocr.zip",
+                "label": "OCR workspace for justi_abhandlung01_1758"
+            },
+            "eval_workspace": {
+                "@id": "https://github.com/OCR-D/quiver-back-end/blob/main/workflows/results/justi_abhandlung01_1758_evaluation.zip",
+                "label": "Evaluation workspace for justi_abhandlung01_1758"
+            },
+            "workflow_steps": [
                 {
-                    "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"
+                        "Fraktur"
                     ],
-                    "publication_century": "1600-1700",
+                    "publication_century": "1700-1800",
                     "publication_decade": "",
-                    "publication_year": "17th century",
-                    "number_of_pages": 5,
+                    "publication_year": "18th century",
+                    "number_of_pages": 4,
                     "layout": "complex"
                 }
             }
         },
         "evaluation_results": {
             "document_wide": {
-                "wall_time": 108.68203399999999,
-                "cpu_time": 154.24126800000005,
-                "cer_mean": 0.2924684311074824,
-                "cer_median": 0.2583479789103691,
+                "wall_time": 13.437096,
+                "cpu_time": 16.64254,
+                "cer_mean": 0.12942563348778183,
+                "cer_median": 0.13278777025964683,
                 "cer_range": [
-                    0.06676783004552352,
-                    0.7536585365853659
+                    0.09893550407013149,
+                    0.15319148936170213
                 ],
-                "cer_standard_deviation": 0.2774715020464407,
-                "wer": 0.4982391606465789,
-                "pages_per_minute": 2.7603458360008246
+                "cer_standard_deviation": 0.022501323128153037,
+                "wer": 0.19483806092245076,
+                "pages_per_minute": 17.861002109384348
             },
             "by_page": [
                 {
                     "page_id": "phys_0001",
-                    "cer": 0.08481262327416174,
-                    "wer": 0.43478260869565216
+                    "cer": 0.13375130616509928,
+                    "wer": 0.2
                 },
                 {
                     "page_id": "phys_0002",
-                    "cer": 0.2583479789103691,
-                    "wer": 0.5625
+                    "cer": 0.15319148936170213,
+                    "wer": 0.22916666666666666
                 },
                 {
                     "page_id": "phys_0003",
-                    "cer": 0.7536585365853659,
-                    "wer": 0.9014084507042254
+                    "cer": 0.09893550407013149,
+                    "wer": 0.12992125984251968
                 },
                 {
                     "page_id": "phys_0004",
-                    "cer": 0.06676783004552352,
-                    "wer": 0.04838709677419355
-                },
-                {
-                    "page_id": "phys_0005",
-                    "cer": 0.2987551867219917,
-                    "wer": 0.5441176470588235
+                    "cer": 0.1318242343541944,
+                    "wer": 0.22026431718061673
                 }
             ]
         }
     },
     {
-        "eval_workflow_id": "wf-data18_frak_complex_euler_rechenkunst01_1738_minimal_ocr-eval",
-        "label": "Workflow on data 18_frak_complex_euler_rechenkunst01_1738_minimal_ocr",
+        "eval_workflow_id": "wf-datareichsanzeiger_random-eval",
+        "label": "Workflow on data reichsanzeiger_random",
         "metadata": {
             "ocr_workflow": {
                 "@id": "https://github.com/OCR-D/quiver-back-end/blob/main/workflows/ocrd_workflows/minimal_ocr.txt",
@@ -8943,16 +2689,16 @@
                 "label": "Evaluation Workflow dinglehopper_eval"
             },
             "gt_workspace": {
-                "@id": "https://github.com/OCR-D/quiver-data/blob/main/18_frak_complex.ocrd.zip",
-                "label": "GT workspace 18th century Black letter complex layout"
+                "@id": "https://github.com/OCR-D/quiver-data/blob/main/reichsanzeiger_random.ocrd.zip",
+                "label": "GT workspace reichsanzeiger_random"
             },
             "ocr_workspace": {
-                "@id": "https://github.com/OCR-D/quiver-back-end/blob/main/workflows/results/18_frak_complex_euler_rechenkunst01_1738_minimal_ocr_ocr.zip",
-                "label": "OCR workspace for 18_frak_complex_euler_rechenkunst01_1738_minimal_ocr"
+                "@id": "https://github.com/OCR-D/quiver-back-end/blob/main/workflows/results/reichsanzeiger_random_ocr.zip",
+                "label": "OCR workspace for reichsanzeiger_random"
             },
             "eval_workspace": {
-                "@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"
+                "@id": "https://github.com/OCR-D/quiver-back-end/blob/main/workflows/results/reichsanzeiger_random_evaluation.zip",
+                "label": "Evaluation workspace for reichsanzeiger_random"
             },
             "workflow_steps": [
                 {
@@ -8987,61 +2733,60 @@
             "document_metadata": {
                 "data_properties": {
                     "fonts": [
-                        "Antiqua",
-                        "Black Letter"
+                        "Antiqua"
                     ],
-                    "publication_century": "1700-1800",
+                    "publication_century": "1820-1939",
                     "publication_decade": "",
-                    "publication_year": "18th century",
+                    "publication_year": "19th century",
                     "number_of_pages": 6,
-                    "layout": "complex"
+                    "layout": "reichsanzeiger-gt"
                 }
             }
         },
         "evaluation_results": {
             "document_wide": {
-                "wall_time": 18.674437,
-                "cpu_time": 24.291901,
-                "cer_mean": 0.25835849983393794,
-                "cer_median": 0.230420483908856,
+                "wall_time": 636.322401,
+                "cpu_time": 852.529652,
+                "cer_mean": 1.1094634128044334,
+                "cer_median": 0.8993673021608106,
                 "cer_range": [
-                    0.08586296617519515,
-                    0.5747368421052632
+                    0.30019453260980855,
+                    1.9778823058446757
                 ],
-                "cer_standard_deviation": 0.16915619139008603,
-                "wer": 0.37827288927088376,
-                "pages_per_minute": 19.277689603172508
+                "cer_standard_deviation": 0.645494993792005,
+                "wer": 1.3304151477151094,
+                "pages_per_minute": 0.565750945486516
             },
             "by_page": [
                 {
-                    "page_id": "phys_0001",
-                    "cer": 0.08586296617519515,
-                    "wer": 0.10465116279069768
+                    "page_id": "P_1879_45_0344",
+                    "cer": 0.9843462873477166,
+                    "wer": 1.1759884281581485
                 },
                 {
-                    "page_id": "phys_0002",
-                    "cer": 0.5747368421052632,
-                    "wer": 0.7987804878048781
+                    "page_id": "P_1885_5_0055",
+                    "cer": 0.30019453260980855,
+                    "wer": 0.40127817019845274
                 },
                 {
-                    "page_id": "phys_0003",
-                    "cer": 0.2767102229054573,
-                    "wer": 0.3786407766990291
+                    "page_id": "P_1889_1_0018",
+                    "cer": 0.7868184930272782,
+                    "wer": 0.9704142011834319
                 },
                 {
-                    "page_id": "phys_0004",
-                    "cer": 0.22828282828282828,
-                    "wer": 0.27741935483870966
+                    "page_id": "P_1891_33_0452",
+                    "cer": 0.8143883169739047,
+                    "wer": 1.112810707456979
                 },
                 {
-                    "page_id": "phys_0005",
-                    "cer": 0.152,
-                    "wer": 0.27218934911242604
+                    "page_id": "P_1932_300_0488",
+                    "cer": 1.9778823058446757,
+                    "wer": 2.349493487698987
                 },
                 {
-                    "page_id": "phys_0006",
-                    "cer": 0.23255813953488372,
-                    "wer": 0.43795620437956206
+                    "page_id": "P_1936_123_0292",
+                    "cer": 1.7931505410232167,
+                    "wer": 1.9725058915946583
                 }
             ]
         }
diff --git a/default_data_sources.txt b/data_srcs/default_data_sources.txt
similarity index 100%
rename from default_data_sources.txt
rename to data_srcs/default_data_sources.txt
diff --git a/data_srcs/reichsanzeiger_full.txt b/data_srcs/reichsanzeiger_full.txt
new file mode 100644
index 0000000..87ce334
--- /dev/null
+++ b/data_srcs/reichsanzeiger_full.txt
@@ -0,0 +1 @@
+https://github.com/UB-Mannheim/reichsanzeiger-gt
\ No newline at end of file
diff --git a/data_srcs/reichsanzeiger_many_ads.list b/data_srcs/reichsanzeiger_many_ads.list
new file mode 100644
index 0000000..c5ef614
--- /dev/null
+++ b/data_srcs/reichsanzeiger_many_ads.list
@@ -0,0 +1,5 @@
+053-7972/0044.jp2&CVT=jpeg 1883_55_0044.jpg
+041-7960/0662.jp2&CVT=jpeg 1881_1_0662.jpg
+102-9983/0045.jp2&CVT=jpeg 1871_65_0045.jpg
+101-9982/0017.jp2&CVT=jpeg 1873_1_0017.jpg
+003-7922/0279.jp2&CVT=jpeg 1871_155_0279.jpg
diff --git a/data_srcs/reichsanzeiger_random.list b/data_srcs/reichsanzeiger_random.list
new file mode 100644
index 0000000..a488a19
--- /dev/null
+++ b/data_srcs/reichsanzeiger_random.list
@@ -0,0 +1,6 @@
+104-8023/0452.jp2&CVT=jpeg 1891_33_0452.jpg
+090-8009/0018.jp2&CVT=jpeg 1889_1_0018.jpg
+065-7984/0055.jp2&CVT=jpeg 1885_5_0055.jpg
+093-9053/0488.jp2&CVT=jpeg 1932_300_0488.jpg
+014-8455/0292.jp2&CVT=jpeg 1936_123_0292.jpg
+035-7954/0344.jp2&CVT=jpeg 1879_45_0344.jpg
diff --git a/data_srcs/reichsanzeiger_tables.list b/data_srcs/reichsanzeiger_tables.list
new file mode 100644
index 0000000..6518229
--- /dev/null
+++ b/data_srcs/reichsanzeiger_tables.list
@@ -0,0 +1,5 @@
+093-9053/0488.jp2&CVT=jpeg 1932_300_0488.jpg
+014-8455/0292.jp2&CVT=jpeg 1936_123_0292.jpg
+076-9036/0019.jp2&CVT=jpeg 1929_250_0019.jpg
+027-7946/0059.jp2&CVT=jpeg 1877_7_0059.jpg
+053-7972/0044.jp2&CVT=jpeg 1883_55_0044.jpg
diff --git a/data_srcs/reichsanzeiger_title_pages.list b/data_srcs/reichsanzeiger_title_pages.list
new file mode 100644
index 0000000..3fd2509
--- /dev/null
+++ b/data_srcs/reichsanzeiger_title_pages.list
@@ -0,0 +1,5 @@
+044-7963/0163.jp2&CVT=jpeg 1881_115_0163.jpg
+079-7998/0444.jp2&CVT=jpeg 1887_134_0444.jpg
+153-9561/0087.jp2&CVT=jpeg 1916_169_0087.jpg
+167-9449/0129.jp2&CVT=jpeg 1918_267_0129.jpg
+065-7984/0054.jp2&CVT=jpeg 1885_5_0054.jpg
diff --git a/docker-compose.yml b/docker-compose.yml
index c4be3ef..b7ca20e 100644
--- a/docker-compose.yml
+++ b/docker-compose.yml
@@ -10,7 +10,6 @@ services:
       - ./data:/app/data # this will write the results to your host system
       - ./gt:/app/gt
       # mount your modules, custom workflows and data here
-      - ./models:/usr/local/share/ocrd-resources/
-      #- ./workflows:/app/workflows
-      # - ./workflows/ocrd_workflows:/app/workflows/ocrd_workflows
+      #- ./models/ocrd-tesserocr-recognize:/usr/local/share/tessdata/
+      #- ./models/ocrd-calamari-recognize:/usr/local/share/ocrd-resources/
       # - TODO/custom/data
\ No newline at end of file
diff --git a/prepare.sh b/prepare.sh
deleted file mode 100644
index cd60dcf..0000000
--- a/prepare.sh
+++ /dev/null
@@ -1,41 +0,0 @@
-#!/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 "$INNER_ZIP"
-
-        echo "Done."
-    done
-done
-
-echo " … and ready to go!"
diff --git a/scripts/convert-yml-to-json.py b/scripts/convert-yml-to-json.py
new file mode 100644
index 0000000..0ff8023
--- /dev/null
+++ b/scripts/convert-yml-to-json.py
@@ -0,0 +1,22 @@
+#!env python3
+
+# This script has been copied from https://github.com/OCR-D/spec/blob/master/scripts/yaml-to-json.py
+
+from yaml import safe_load
+from json import dumps
+from click import command, argument, option
+
+@command()
+@option('--indent', default=2, type=int)
+@argument('src')
+@argument('dst')
+def cli(src, dst, indent):
+    kwargs = {}
+    if indent > 0:
+        kwargs['indent'] = indent
+    with open(src, 'r', encoding='utf-8') as f_in, open(dst, 'w', encoding='utf-8') as f_out:
+        ret = safe_load(f_in)
+        f_out.write(dumps(ret, **kwargs))
+
+if __name__ == '__main__':
+    cli()
\ No newline at end of file
diff --git a/scripts/prepare.sh b/scripts/prepare.sh
new file mode 100644
index 0000000..287c1e5
--- /dev/null
+++ b/scripts/prepare.sh
@@ -0,0 +1,98 @@
+#!/bin/bash
+
+mkdir gt
+
+echo "Prepare OCR-D Ground Truth …"
+
+while IFS= read -r URL; do
+    OWNER=$(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 < data_srcs/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"
+    if [[ ! -d  $NAME && $NAME != "reichsanzeiger-gt" ]]; then 
+        unzip -qq -d "$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 "Recreate required directory structure for $INNER_ZIP_NAME."
+            mkdir "$NAME"/"$INNER_ZIP_NAME"/data/"$INNER_ZIP_NAME"
+            mv "$NAME"/"$INNER_ZIP_NAME"/data/OCR-* "$NAME"/"$INNER_ZIP_NAME"/data/"$INNER_ZIP_NAME"
+            mv "$NAME"/"$INNER_ZIP_NAME"/data/mets.xml "$NAME"/"$INNER_ZIP_NAME"/data/"$INNER_ZIP_NAME"
+            cp "$NAME"/metadata.json "$NAME"/"$INNER_ZIP_NAME"/data/"$INNER_ZIP_NAME"/metadata.json
+
+            echo "Moving $INNER_ZIP_NAME higher in dir structure."
+            mv "$NAME"/"$INNER_ZIP_NAME" .
+            echo "Done."
+        done
+        rm -rf "$NAME"
+    fi
+done
+
+echo "Prepare Reichsanzeiger GT …"
+
+if [[ $1 == "ra-full" ]]; then
+    echo "Preparing the full Reichsanzeiger GT."
+
+    if [ ! -d reichsanzeiger-gt ]; then
+        git clone https://github.com/UB-Mannheim/reichsanzeiger-gt
+    fi
+
+    RA_GT=/app/gt/reichsanzeiger-gt
+    DATA_DIR=/$RA_GT/data
+    cd $DATA_DIR|| exit
+    
+    if [[ -d reichsanzeiger-1820-1939/OCR-D-IMG ]]; then
+        echo "Skip downloading Reichsanzeiger images."
+    else
+        bash download_images.sh
+    fi
+    cd reichsanzeiger-1820-1939 || exit
+    ocrd workspace init
+    mkdir OCR-D-IMG
+    cp ../images/* OCR-D-IMG
+    rm -rf ../images
+    rm -rf ../reichsanzeiger-1820-1939_with-TableRegion
+    cp -r GT-PAGE OCR-D-GT-SEG-LINE
+    
+    echo "Adding images to mets …"
+    
+    FILEGRP="OCR-D-IMG"
+    EXT=".jpg"  # the actual extension of the image files
+    MEDIATYPE='image/jpeg'  # the actual media type of the image files
+    for i in "$FILEGRP"/*"$EXT"; do
+      BASE=$(basename "${i}" $EXT);
+      ocrd workspace add -G $FILEGRP -i ${FILEGRP}_"${BASE}" -g P_"${BASE}" -m $MEDIATYPE "${i}";
+    done
+    
+    python3 /app/scripts/convert-yml-to-json.py --indent 2 $RA_GT/METADATA.yml $RA_GT/metadata.json
+    
+    echo " … and ready to go!"
+   
+else
+    echo "Prepare smaller sets of Reichsanzeiger GT."
+    cd /app || exit
+    bash /app/scripts/prepare_reichsanzeiger_sets.sh
+fi
diff --git a/scripts/prepare_reichsanzeiger_sets.sh b/scripts/prepare_reichsanzeiger_sets.sh
new file mode 100644
index 0000000..a5667f4
--- /dev/null
+++ b/scripts/prepare_reichsanzeiger_sets.sh
@@ -0,0 +1,68 @@
+#!/bin/sh
+
+echo "Download Reichsanzeiger GT repository."
+cd gt || exit
+if [ ! -d reichsanzeiger-gt ]; then
+    git clone https://github.com/UB-Mannheim/reichsanzeiger-gt
+fi
+
+cd .. || exit
+
+
+PREFIX="data_srcs"
+files=(
+    "$PREFIX"/reichsanzeiger_many_ads.list
+    "$PREFIX"/reichsanzeiger_random.list
+    "$PREFIX"/reichsanzeiger_tables.list
+    "$PREFIX"/reichsanzeiger_title_pages.list
+)
+
+for FILE in "${files[@]}"; do
+    NAME=$(basename "$FILE" .list)
+    if [ -d   gt/"$NAME" ]; then
+        echo "Directory gt/$NAME already exists. Skipping download."
+    else
+        echo "Processing $FILE."
+        mkdir -p gt/"$NAME"/data/"$NAME"/OCR-D-IMG
+        mkdir -p gt/"$NAME"/data/"$NAME"/OCR-D-GT-SEG-LINE
+
+        urlbase=$(echo "aHR0cHM6Ly9kaWdpLmJpYi51bmktbWFubmhlaW0uZGUvcmVpY2hzYW56ZWlnZXIuZmNnaT9GSUY9
+L3JlaWNoc2FuemVpZ2VyL2ZpbG0vCg==" | base64 -d)
+        while read -r line; do 
+            wget --limit-rate=500k "${urlbase}${line% *}" -O ./gt/"$NAME"/data/"$NAME"/OCR-D-IMG/"${line#* }"
+            IMG_NAME=$(basename "${line#* }" .jpg)
+            cp gt/reichsanzeiger-gt/data/reichsanzeiger-1820-1939/GT-PAGE/"$IMG_NAME".xml gt/"$NAME"/data/"$NAME"/OCR-D-GT-SEG-LINE/"$IMG_NAME".xml
+        done < "$FILE"
+    fi
+
+    if [ ! -f gt/"$NAME"/mets.xml ]; then
+        echo "Preparing OCR-D workspace for $NAME".
+        cd gt/"$NAME"/data/"$NAME" || exit
+        ocrd workspace init
+        ocrd workspace set-id "$NAME"
+
+        FILEGRP="OCR-D-IMG"
+        FILEGRP_2="OCR-D-GT-SEG-LINE"
+        # add images to mets
+        EXT=".jpg"  # the actual extension of the image files
+        MEDIATYPE='image/jpeg'  # the actual media type of the image files
+        for i in OCR-D-IMG/*"$EXT"; do
+            BASE=$(basename "${i}" $EXT)
+            ocrd workspace add -G $FILEGRP -i "${FILEGRP}"_"${BASE}" -g P_"${BASE}" -m $MEDIATYPE "${i}"
+        done
+
+        # add GT to mets
+        for i in "$FILEGRP_2"/*.xml; do
+            BASE=$(basename "${i}" ".xml")
+            ocrd workspace add -G $FILEGRP_2 -i "${FILEGRP_2}"_"${BASE}" -g P_"${BASE}" -m text/xml "${i}"
+        done
+    fi
+
+    if [ ! -f gt/"$NAME"/data/"$NAME"/metadata.json ]; then
+        cp /app/gt/reichsanzeiger-gt/METADATA.yml /app/gt/"$NAME"/data/"$NAME"/METADATA.yml
+        python3 /app/scripts/convert-yml-to-json.py --indent 2 /app/gt/"$NAME"/data/"$NAME"/METADATA.yml /app/gt/"$NAME"/data/"$NAME"/metadata.json
+    fi
+    cd /app || exit
+done
+
+echo "Preparation of Reichsanzeiger GT subsets done."
diff --git a/src/benchmark_extraction.py b/src/benchmark_extraction.py
index 2dfe6c2..39b4b21 100644
--- a/src/benchmark_extraction.py
+++ b/src/benchmark_extraction.py
@@ -106,17 +106,8 @@ def get_eval_tool(mets_path: str) -> str:
 
 def get_gt_workspace(workspace_path: str) -> Dict[str, str]:
     current_workspace = get_workspace_name(workspace_path)
-    split_workspace_name = current_workspace.split('_')
-    workspace_name_wo_workflow = split_workspace_name[0] + '_' + split_workspace_name[1] + '_' + split_workspace_name[2]
-    font = ''
-    if split_workspace_name[1] == 'ant':
-        font = 'Antiqua'
-    elif split_workspace_name[1] == 'frak':
-        font = 'Fraktur'
-    else:
-        font = 'Font Mix'
-    url = 'https://github.com/OCR-D/quiver-data/blob/main/' + workspace_name_wo_workflow + '.ocrd.zip'
-    label = f'GT workspace {split_workspace_name[0]}th century {font} {split_workspace_name[2]} layout'
+    url = 'https://github.com/OCR-D/quiver-data/blob/main/' + current_workspace + '.ocrd.zip'
+    label = f'GT workspace {current_workspace}'
     return {
         '@id': url,
         'label': label
@@ -196,7 +187,8 @@ def get_nextflow_completed_process_file(workspace_path: str):
     return file
 
 def get_nextflow_time(workspace_path: str, time_type: str) -> float:
-    files = listdir(workspace_path)
+    highest_workspace_dir = '/'.join(workspace_path.split('/')[:-2])
+    files = listdir(highest_workspace_dir)
     logs = []
     for file in files:
         if '.command.log' in file:
@@ -204,7 +196,7 @@ def get_nextflow_time(workspace_path: str, time_type: str) -> float:
 
     time_per_workflow_step = []
     for log in logs:
-        with open(workspace_path + '/' + log, 'r', encoding='utf-8') as l:
+        with open(highest_workspace_dir + '/' + log, 'r', encoding='utf-8') as l:
             log_file = l.read()
             no_sec_s = re.search(rf'([0-9]+?\.[0-9]+?)s \({time_type}\)', log_file).group(1)
             time_per_workflow_step.append(float(no_sec_s))
diff --git a/workflows/execute_workflows.sh b/workflows/execute_workflows.sh
index 5f3f59f..db8957d 100755
--- a/workflows/execute_workflows.sh
+++ b/workflows/execute_workflows.sh
@@ -39,9 +39,9 @@ convert_ocrd_wfs_to_NextFlow() {
 
 download_models() {
     echo "Download the necessary models if not available"
-    if [[ ! -f /usr/local/share/ocrd-resources/ocrd-tesserocr-recognize/ ]]
+    if [[ ! -d /usr/local/share/tessdata ]]
     then
-        mkdir -p /usr/local/share/ocrd-resources/
+        #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 ]]
@@ -58,32 +58,15 @@ create_wf_specific_workspaces() {
 
     # 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
+        if [[ ! $DIR_NAME == "reichsanzeiger-gt" ]]; then
+            echo "Create workflow specific workspace for $DIR_NAME."
             for WORKFLOW in "$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"_"$WF_NAME"/
+                cp "$WORKFLOW" "$WORKSPACE_DIR"/tmp/"$DIR_NAME"_"$WF_NAME"/data/*/
             done
         fi
     done
@@ -93,11 +76,10 @@ clean_up_tmp_dirs() {
     echo "Clean up intermediate dirs …"
     for DIR in "$WORKSPACE_DIR"/tmp/*
     do
+        echo "Cleaning up $DIR."
         DIR_NAME=$(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"/"$DIR_NAME"/
+        cp "$OCRD_WORKFLOW_DIR"/*eval.txt.nf "$WORKSPACE_DIR"/"$DIR_NAME"/data/*/
     done
 
     rm -rf "$WORKSPACE_DIR"/tmp
@@ -114,16 +96,16 @@ execute_wfs_and_extract_benchmarks() {
 
             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"
+            run "$WS_DIR"/data/*/*ocr.txt.nf "$DIR_NAME" "$WS_DIR"
+            run "$WS_DIR"/data/*/*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"
+            quiver benchmarks-extraction "$WS_DIR"/data/* "$WORKFLOW"
             echo "Done."
 
             # move data to results dir
-            mv "$WS_DIR"/*.json "$WORKFLOW_DIR"/results
+            mv "$WS_DIR"/data/*/*.json "$WORKFLOW_DIR"/results
         fi
     done
     cd "$ROOT" || exit
@@ -132,7 +114,7 @@ execute_wfs_and_extract_benchmarks() {
 adjust_workflow_settings() {
     # $1: $WORKFLOW
     # $2: $DIR_NAME
-    sed -i "s CURRENT app/workflows/workspaces/$2 g" "$1"
+    sed -i "s CURRENT app/workflows/workspaces/$2/data/*/ g" "$1"
 }
 
 rename_and_move_nextflow_result() {
@@ -142,13 +124,13 @@ rename_and_move_nextflow_result() {
     WORKFLOW_NAME=$(basename -s .txt.nf "$1")
     rm "$WORKFLOW_DIR"/nf-results/*process_completed.json
     mv "$WORKFLOW_DIR"/nf-results/*_completed.json "$WORKFLOW_DIR"/results/"$2"_"$WORKFLOW_NAME"_completed.json
-    if [ $WORKFLOW_NAME != "dinglehopper_eval" ]; then
+    if [ "$WORKFLOW_NAME" != "dinglehopper_eval" ]; then
         for DIR in "$WORKSPACE_DIR"/work/*
         do
-            WORK_DIR_NAME=$(basename $DIR)
-            for SUB_WORK_DIR in $DIR/*
+            WORK_DIR_NAME=$(basename "$DIR")
+            for SUB_WORK_DIR in "$DIR"/*
             do
-                SUB_WORK_DIR_NAME=$(basename $SUB_WORK_DIR)
+                SUB_WORK_DIR_NAME=$(basename "$SUB_WORK_DIR")
                 mv "$WORKSPACE_DIR"/work/"$WORK_DIR_NAME"/"$SUB_WORK_DIR_NAME"/.command.log "$WORKSPACE_DIR"/"$2"/"$WORK_DIR_NAME"_"$SUB_WORK_DIR_NAME".command.log
             done
             
@@ -165,7 +147,7 @@ run() {
     adjust_workflow_settings "$1" "$2"
     nextflow run "$1" -with-weblog http://127.0.0.1:8000/nextflow/
     rename_and_move_nextflow_result "$1" "$2"
-    save_workspaces "$3" "$2" "$1"
+    save_workspaces "$3"/data "$2" "$1"
 }
 
 save_workspaces() {
@@ -173,7 +155,7 @@ save_workspaces() {
     # $2: $DIR_NAME
     # $3: $WORKFLOW
     echo "Zipping workspace $1"
-    ocrd zip bag -d $1 -i $1 $1
+    ocrd zip bag -d "$DIR_NAME"/data/* -i "$DIR_NAME"/data/* "$DIR_NAME"
     WORKFLOW_NAME=$(basename -s .txt.nf "$3")
     mv "$WORKSPACE_DIR"/"$2".zip "$WORKFLOW_DIR"/results/"$2"_"$WORKFLOW_NAME".zip
 }
-- 
GitLab