diff --git a/.gitignore b/.gitignore
index 028a987..f1a067d 100644
--- a/.gitignore
+++ b/.gitignore
@@ -405,3 +405,6 @@ tags
 
 pykeen/
 html/
+
+# slurm
+slurm-*.out
\ No newline at end of file
diff --git a/nonasv/pipeline.py b/nonasv/pipeline.py
new file mode 100644
index 0000000..498265e
--- /dev/null
+++ b/nonasv/pipeline.py
@@ -0,0 +1,179 @@
+import json
+import logging
+import pathlib
+import pprint
+from typing import Any, Mapping
+import platform
+import click
+import more_click
+import pandas
+import torch
+
+from pykeen.experiments.cli import HERE
+from pykeen.pipeline.api import pipeline_from_config
+from pykeen.utils import (
+    CONFIGURATION_FILE_FORMATS,
+    format_relative_comparison,
+    load_configuration,
+    resolve_device,
+)
+from pykeen.version import get_git_hash
+
+logger = logging.getLogger(__name__)
+
+
+def _collect_system_information() -> Mapping[str, Any]:
+    uname = platform.uname()
+    result = dict(
+        system=uname.system,
+        release=uname.release,
+        machine=uname.machine,
+        torch_version=torch.__version__,
+    )
+    if torch.cuda.is_available():
+        # e.g. _CudaDeviceProperties(name='Quadro RTX 8000', major=7, minor=5, total_memory=48601MB, multi_processor_count=72)
+        properties = torch.cuda.get_device_properties(device=torch.device("cuda"))
+        result["gpu"] = dict(
+            name=properties.name,
+            total_memory=properties.total_memory,
+            compute_capability=(properties.major, properties.minor),
+            cuda=torch.version.cuda,
+            cudnn=torch.backends.cudnn.version(),
+        )
+    return result
+
+
+@click.command()
+@click.option("-c", "--configuration-root", type=pathlib.Path, default=HERE)
+@click.option(
+    "-o",
+    "--output-root",
+    type=pathlib.Path,
+    default=pathlib.Path(__file__).parent.joinpath("results", get_git_hash()),
+)
+@click.option("-e", "--num-epochs", type=int, default=5)
+@click.option("--debug", is_flag=True)
+@more_click.log_level_option()
+def main(
+    configuration_root: pathlib.Path,
+    output_root: pathlib.Path,
+    num_epochs: int,
+    log_level: str,
+    debug: bool,
+):
+    """
+    Run all packaged reproducibility configurations and save results for a given commit.
+
+    Also reduces the number of training epochs to reduce runtime.
+    """
+    logging.basicConfig(level=log_level)
+
+    # make absolute
+    output_root = output_root.expanduser().resolve()
+    logger.info(f"Resolved output root: {output_root}")
+
+    device = resolve_device(device=None)
+    logger.info(f"Running on device: {device}")
+
+    system_information = _collect_system_information()
+
+    configuration_paths = sorted(
+        path
+        for ext in CONFIGURATION_FILE_FORMATS
+        for path in configuration_root.rglob(f"*{ext}")
+    )
+    logger.info(
+        f"Found {len(configuration_paths)} configurations under {configuration_root}"
+    )
+
+    for i, path in enumerate(configuration_paths, start=1):
+        logger.info(
+            f"Progress: {format_relative_comparison(part=i, total=len(configuration_paths))}"
+        )
+        reference, model, dataset, *remainder = path.stem.split("_")
+        if model in {
+            "nodepiece",  # no precomputed anchors...
+            "rgcn",  # too slow
+            "boxe",
+        }:
+            logger.warning(f"Skipping {path} due to explicit model ignore rule")
+            continue
+
+        output_path = output_root.joinpath(
+            device.type, model, dataset, "_".join((reference, *remainder))
+        )
+        if output_path.exists():
+            logger.debug(
+                f"Skipping configuration {path} since output path exists {output_path}"
+            )
+            continue
+
+        # load configuration
+        configuration = dict(load_configuration(path))
+        # reduce number of training epochs
+        configuration["pipeline"]["training_kwargs"]["num_epochs"] = num_epochs
+        # discard results
+        configuration.pop("results", None)
+        # add system information to metadata
+        configuration.setdefault("metadata", {})
+        configuration["metadata"]["system"] = system_information
+
+        logger.info(f"Running configuration from {path}")
+        logger.debug(pprint.pformat(configuration, indent=2, sort_dicts=True))
+        try:
+            result = pipeline_from_config(config=configuration)
+        except TypeError as error:
+            logger.error("Could not run pipeline", exc_info=error)
+            continue
+
+        # save results
+        result.save_to_directory(
+            directory=output_path,
+            save_metadata=True,
+            save_replicates=False,
+            save_training=False,
+        )
+
+        if debug:
+            break
+
+    data = []
+    for i, path in enumerate(configuration_paths, start=1):
+        reference, model, dataset, *remainder = path.stem.split("_")
+        output_path = output_root.joinpath(
+            device.type,
+            model,
+            dataset,
+            "_".join((reference, *remainder)),
+            "results.json",
+        )
+        if not output_path.exists():
+            logger.warning(f"{output_path} is not existing")
+            continue
+
+        results = json.loads(output_path.read_text())
+        data.append(
+            {
+                "training": results["times"]["training"] / num_epochs,
+                "evaluation": results["times"]["evaluation"],
+                "batch_size.evaluation": results.get("evaluator_metadata", {}).get(
+                    "batch_size", None
+                ),
+                "path": path.relative_to(configuration_root).as_posix(),
+            }
+        )
+    df = pandas.DataFrame.from_records(data=data)
+    df = df[sorted(df.columns)]
+    df = df.sort_values(by="path")
+    output_path = output_root.joinpath("summary.tsv")
+    df.to_csv(output_path, sep="\t", index=False)
+    logger.info(f"Written summary to {output_path}")
+
+    # print
+    print(f"{'path':50}  training  evaluation")
+    for _, row in df.iterrows():
+        print(f"{row['path']:50} {row['training']:8.2f}s   {row['evaluation']:8.2f}s")
+
+
+if __name__ == "__main__":
+    main()
diff --git a/nonasv/results/v1.8.0/cuda/complex/fb15k/trouillon2016/metadata.json b/nonasv/results/v1.8.0/cuda/complex/fb15k/trouillon2016/metadata.json
new file mode 100644
index 0000000..b62165b
--- /dev/null
+++ b/nonasv/results/v1.8.0/cuda/complex/fb15k/trouillon2016/metadata.json
@@ -0,0 +1,20 @@
+{
+  "comments": "In the paper it is not mentioned that they compute the mean of the vector norms as done in the published code base. The rank type can be found at https://github.com/ttrouill/complex/blob/67fef2324d5a7695f7b932b5606d2e4b6de09a41/efe/evaluation.py#L295.",
+  "system": {
+    "gpu": {
+      "compute_capability": [
+        7,
+        5
+      ],
+      "cuda": "11.3",
+      "cudnn": 8200,
+      "name": "Quadro RTX 8000",
+      "total_memory": 50962169856
+    },
+    "machine": "x86_64",
+    "release": "5.4.0-81-generic",
+    "system": "Linux",
+    "torch_version": "1.11.0+cu113"
+  },
+  "title": "Learn FB15K Dataset with ComplEx as described by Trouillon et al., 2016"
+}
\ No newline at end of file
diff --git a/nonasv/results/v1.8.0/cuda/complex/fb15k/trouillon2016/results.json b/nonasv/results/v1.8.0/cuda/complex/fb15k/trouillon2016/results.json
new file mode 100644
index 0000000..79e0b72
--- /dev/null
+++ b/nonasv/results/v1.8.0/cuda/complex/fb15k/trouillon2016/results.json
@@ -0,0 +1,246 @@
+{
+  "losses": [
+    0.00027370825300399417,
+    5.7055877953340055e-05,
+    3.4271220052227624e-05,
+    2.3875505992467534e-05,
+    1.8529287064680124e-05
+  ],
+  "metrics": {
+    "both": {
+      "optimistic": {
+        "adjusted_arithmetic_mean_rank": 0.08070188773133745,
+        "adjusted_arithmetic_mean_rank_index": 0.9194225797048108,
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+        "hits_at_3": 0.12941206344906978,
+        "hits_at_5": 0.17772680333835553,
+        "inverse_arithmetic_mean_rank": 0.0016774782002874778,
+        "inverse_geometric_mean_rank": 0.016941694376732996,
+        "inverse_harmonic_mean_rank": 0.1225998843048803,
+        "inverse_median_rank": 0.01818181818181818,
+        "median_absolute_deviation": 77.0953153622913,
+        "median_rank": 55.0,
+        "standard_deviation": 1646.5974290660563,
+        "variance": 2711283.093406946,
+        "z_arithmetic_mean_rank": 546.8884494603583,
+        "z_hits_at_k": 3359.976035667772,
+        "z_inverse_harmonic_mean_rank": 3975.5225642125115
+      },
+      "pessimistic": {
+        "adjusted_arithmetic_mean_rank": 0.08070189231482705,
+        "adjusted_arithmetic_mean_rank_index": 0.9194225751207006,
+        "adjusted_hits_at_k": 0.25467888530694455,
+        "adjusted_inverse_harmonic_mean_rank": 0.12199393369414213,
+        "arithmetic_mean_rank": 596.1329671073793,
+        "count": 118142.0,
+        "geometric_mean_rank": 59.025974985687476,
+        "harmonic_mean_rank": 8.156614552085223,
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+        "z_inverse_harmonic_mean_rank": 3975.5225625927046
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+      "realistic": {
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+        "inverse_median_rank": 0.0181818176060915,
+        "median_absolute_deviation": 77.0953153622913,
+        "median_rank": 55.0,
+        "standard_deviation": 1646.5975341796875,
+        "variance": 2711283.5,
+        "z_arithmetic_mean_rank": 546.8884444385656,
+        "z_hits_at_k": 3359.976035667772,
+        "z_inverse_harmonic_mean_rank": 3975.5225634017374
+      }
+    },
+    "head": {
+      "optimistic": {
+        "adjusted_arithmetic_mean_rank": 0.08704475810034824,
+        "adjusted_arithmetic_mean_rank_index": 0.9130791879154981,
+        "adjusted_hits_at_k": 0.24568203089203158,
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+    },
+    "tail": {
+      "optimistic": {
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+        "inverse_geometric_mean_rank": 0.018528905703287735,
+        "inverse_harmonic_mean_rank": 0.1297124585506984,
+        "inverse_median_rank": 0.02,
+        "median_absolute_deviation": 71.1649064882689,
+        "median_rank": 50.0,
+        "standard_deviation": 1582.2014431967566,
+        "variance": 2503361.4068538994,
+        "z_arithmetic_mean_rank": 389.42076595599167,
+        "z_hits_at_k": 2463.574967230824,
+        "z_inverse_harmonic_mean_rank": 2979.726925688064
+      },
+      "realistic": {
+        "adjusted_arithmetic_mean_rank": 0.07439345759056779,
+        "adjusted_arithmetic_mean_rank_index": 0.9257315237847574,
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+        "adjusted_inverse_harmonic_mean_rank": 0.1291130722201289,
+        "arithmetic_mean_rank": 551.029052734375,
+        "count": 59071.0,
+        "geometric_mean_rank": 53.9697265625,
+        "harmonic_mean_rank": 7.709359214767926,
+        "hits_at_1": 0.06126525706353372,
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+        "inverse_harmonic_mean_rank": 0.12971245855506738,
+        "inverse_median_rank": 0.019999999552965164,
+        "median_absolute_deviation": 71.1649064882689,
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+        "standard_deviation": 1582.201416015625,
+        "variance": 2503361.25,
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+        "z_hits_at_k": 2463.574967230824,
+        "z_inverse_harmonic_mean_rank": 2979.7269257889625
+      }
+    }
+  },
+  "times": {
+    "evaluation": 29.81851315498352,
+    "training": 8.202208042144775
+  }
+}
\ No newline at end of file
diff --git a/nonasv/results/v1.8.0/cuda/complex/wn18/trouillon2016/metadata.json b/nonasv/results/v1.8.0/cuda/complex/wn18/trouillon2016/metadata.json
new file mode 100644
index 0000000..26a4bcb
--- /dev/null
+++ b/nonasv/results/v1.8.0/cuda/complex/wn18/trouillon2016/metadata.json
@@ -0,0 +1,20 @@
+{
+  "comments": "In the paper it is not mentioned that they compute the mean of the vector norms as done in the published code base.  The rank type can be found at https://github.com/ttrouill/complex/blob/67fef2324d5a7695f7b932b5606d2e4b6de09a41/efe/evaluation.py#L295.",
+  "system": {
+    "gpu": {
+      "compute_capability": [
+        7,
+        5
+      ],
+      "cuda": "11.3",
+      "cudnn": 8200,
+      "name": "Quadro RTX 8000",
+      "total_memory": 50962169856
+    },
+    "machine": "x86_64",
+    "release": "5.4.0-81-generic",
+    "system": "Linux",
+    "torch_version": "1.11.0+cu113"
+  },
+  "title": "Learn WN18 Dataset with ComplEx as described by Trouillon et al., 2016"
+}
\ No newline at end of file
diff --git a/nonasv/results/v1.8.0/cuda/complex/wn18/trouillon2016/results.json b/nonasv/results/v1.8.0/cuda/complex/wn18/trouillon2016/results.json
new file mode 100644
index 0000000..9570d2a
--- /dev/null
+++ b/nonasv/results/v1.8.0/cuda/complex/wn18/trouillon2016/results.json
@@ -0,0 +1,246 @@
+{
+  "losses": [
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\ No newline at end of file
diff --git a/nonasv/results/v1.8.0/cuda/conve/fb15k/dettmers2018/metadata.json b/nonasv/results/v1.8.0/cuda/conve/fb15k/dettmers2018/metadata.json
new file mode 100644
index 0000000..a2debf8
--- /dev/null
+++ b/nonasv/results/v1.8.0/cuda/conve/fb15k/dettmers2018/metadata.json
@@ -0,0 +1,20 @@
+{
+  "comment": "For evaluation, the non-deterministic rank definition is used, cf. https://github.com/TimDettmers/ConvE/blob/5feb358eb7dbd1f534978cdc4c20ee0bf919148a/evaluation.py#L67.",
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+    "release": "5.4.0-81-generic",
+    "system": "Linux",
+    "torch_version": "1.11.0+cu113"
+  },
+  "title": "Learn FB15K Dataset with ConvE as described by Dettmers et al., 2018"
+}
\ No newline at end of file
diff --git a/nonasv/results/v1.8.0/cuda/conve/fb15k/dettmers2018/results.json b/nonasv/results/v1.8.0/cuda/conve/fb15k/dettmers2018/results.json
new file mode 100644
index 0000000..bf5bc98
--- /dev/null
+++ b/nonasv/results/v1.8.0/cuda/conve/fb15k/dettmers2018/results.json
@@ -0,0 +1,246 @@
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\ No newline at end of file
diff --git a/nonasv/results/v1.8.0/cuda/conve/fb15k237/dettmers2018/metadata.json b/nonasv/results/v1.8.0/cuda/conve/fb15k237/dettmers2018/metadata.json
new file mode 100644
index 0000000..c8b9c51
--- /dev/null
+++ b/nonasv/results/v1.8.0/cuda/conve/fb15k237/dettmers2018/metadata.json
@@ -0,0 +1,20 @@
+{
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+  "title": "Learn FB15K-237 Dataset with ConvE as described by Dettmers et al., 2018"
+}
\ No newline at end of file
diff --git a/nonasv/results/v1.8.0/cuda/conve/fb15k237/dettmers2018/results.json b/nonasv/results/v1.8.0/cuda/conve/fb15k237/dettmers2018/results.json
new file mode 100644
index 0000000..cca2c8a
--- /dev/null
+++ b/nonasv/results/v1.8.0/cuda/conve/fb15k237/dettmers2018/results.json
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\ No newline at end of file
diff --git a/nonasv/results/v1.8.0/cuda/conve/wn18/dettmers2018/metadata.json b/nonasv/results/v1.8.0/cuda/conve/wn18/dettmers2018/metadata.json
new file mode 100644
index 0000000..6655aca
--- /dev/null
+++ b/nonasv/results/v1.8.0/cuda/conve/wn18/dettmers2018/metadata.json
@@ -0,0 +1,20 @@
+{
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+  "title": "Learn WN18 Dataset with ConvE as described by Dettmers et al., 2018"
+}
\ No newline at end of file
diff --git a/nonasv/results/v1.8.0/cuda/conve/wn18/dettmers2018/results.json b/nonasv/results/v1.8.0/cuda/conve/wn18/dettmers2018/results.json
new file mode 100644
index 0000000..4179e29
--- /dev/null
+++ b/nonasv/results/v1.8.0/cuda/conve/wn18/dettmers2018/results.json
@@ -0,0 +1,246 @@
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\ No newline at end of file
diff --git a/nonasv/results/v1.8.0/cuda/conve/wn18rr/dettmers2018/metadata.json b/nonasv/results/v1.8.0/cuda/conve/wn18rr/dettmers2018/metadata.json
new file mode 100644
index 0000000..99eeec8
--- /dev/null
+++ b/nonasv/results/v1.8.0/cuda/conve/wn18rr/dettmers2018/metadata.json
@@ -0,0 +1,20 @@
+{
+  "comment": "For evaluation, the non-deterministic rank definition is used, cf. https://github.com/TimDettmers/ConvE/blob/5feb358eb7dbd1f534978cdc4c20ee0bf919148a/evaluation.py#L67.",
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+    "release": "5.4.0-81-generic",
+    "system": "Linux",
+    "torch_version": "1.11.0+cu113"
+  },
+  "title": "Learn WN18RR Dataset with ConvE as described by Dettmers et al., 2018"
+}
\ No newline at end of file
diff --git a/nonasv/results/v1.8.0/cuda/conve/wn18rr/dettmers2018/results.json b/nonasv/results/v1.8.0/cuda/conve/wn18rr/dettmers2018/results.json
new file mode 100644
index 0000000..eb2b85e
--- /dev/null
+++ b/nonasv/results/v1.8.0/cuda/conve/wn18rr/dettmers2018/results.json
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\ No newline at end of file
diff --git a/nonasv/results/v1.8.0/cuda/convkb/fb15k237/nguyen2018/metadata.json b/nonasv/results/v1.8.0/cuda/convkb/fb15k237/nguyen2018/metadata.json
new file mode 100644
index 0000000..4dad16b
--- /dev/null
+++ b/nonasv/results/v1.8.0/cuda/convkb/fb15k237/nguyen2018/metadata.json
@@ -0,0 +1,20 @@
+{
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+  "title": "Learn FB15k-237 Dataset with ConvKB as described by Nguyen et al., 2018"
+}
\ No newline at end of file
diff --git a/nonasv/results/v1.8.0/cuda/convkb/fb15k237/nguyen2018/results.json b/nonasv/results/v1.8.0/cuda/convkb/fb15k237/nguyen2018/results.json
new file mode 100644
index 0000000..baea645
--- /dev/null
+++ b/nonasv/results/v1.8.0/cuda/convkb/fb15k237/nguyen2018/results.json
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\ No newline at end of file
diff --git a/nonasv/results/v1.8.0/cuda/convkb/wn18rr/nguyen2018/metadata.json b/nonasv/results/v1.8.0/cuda/convkb/wn18rr/nguyen2018/metadata.json
new file mode 100644
index 0000000..407b565
--- /dev/null
+++ b/nonasv/results/v1.8.0/cuda/convkb/wn18rr/nguyen2018/metadata.json
@@ -0,0 +1,20 @@
+{
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+  "title": "Learn WN18RR Dataset with ConvKB as described by Nguyen et al., 2018"
+}
\ No newline at end of file
diff --git a/nonasv/results/v1.8.0/cuda/convkb/wn18rr/nguyen2018/results.json b/nonasv/results/v1.8.0/cuda/convkb/wn18rr/nguyen2018/results.json
new file mode 100644
index 0000000..cd957e6
--- /dev/null
+++ b/nonasv/results/v1.8.0/cuda/convkb/wn18rr/nguyen2018/results.json
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\ No newline at end of file
diff --git a/nonasv/results/v1.8.0/cuda/distmult/fb15k/yang2014/metadata.json b/nonasv/results/v1.8.0/cuda/distmult/fb15k/yang2014/metadata.json
new file mode 100644
index 0000000..03f1778
--- /dev/null
+++ b/nonasv/results/v1.8.0/cuda/distmult/fb15k/yang2014/metadata.json
@@ -0,0 +1,20 @@
+{
+  "comments": "For each positive triple, DistMult creates two negatives where head and tail are corrupted",
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+      "compute_capability": [
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+  "title": "Learn FB15K Dataset with DistMult as described by Yang et al., 2014"
+}
\ No newline at end of file
diff --git a/nonasv/results/v1.8.0/cuda/distmult/fb15k/yang2014/results.json b/nonasv/results/v1.8.0/cuda/distmult/fb15k/yang2014/results.json
new file mode 100644
index 0000000..6a1120c
--- /dev/null
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\ No newline at end of file
diff --git a/nonasv/results/v1.8.0/cuda/distmult/wn18/yang2014/metadata.json b/nonasv/results/v1.8.0/cuda/distmult/wn18/yang2014/metadata.json
new file mode 100644
index 0000000..561f095
--- /dev/null
+++ b/nonasv/results/v1.8.0/cuda/distmult/wn18/yang2014/metadata.json
@@ -0,0 +1,20 @@
+{
+  "comments": "For each positive triple, DistMult create two negatives where head and tail are corrupted",
+  "system": {
+    "gpu": {
+      "compute_capability": [
+        7,
+        5
+      ],
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+    "torch_version": "1.11.0+cu113"
+  },
+  "title": "Learn WN18 Dataset with DistMult as described by Yang et al., 2014"
+}
\ No newline at end of file
diff --git a/nonasv/results/v1.8.0/cuda/distmult/wn18/yang2014/results.json b/nonasv/results/v1.8.0/cuda/distmult/wn18/yang2014/results.json
new file mode 100644
index 0000000..c4a98ae
--- /dev/null
+++ b/nonasv/results/v1.8.0/cuda/distmult/wn18/yang2014/results.json
@@ -0,0 +1,246 @@
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\ No newline at end of file
diff --git a/nonasv/results/v1.8.0/cuda/hole/fb15k/nickel2016/metadata.json b/nonasv/results/v1.8.0/cuda/hole/fb15k/nickel2016/metadata.json
new file mode 100644
index 0000000..8fa85b6
--- /dev/null
+++ b/nonasv/results/v1.8.0/cuda/hole/fb15k/nickel2016/metadata.json
@@ -0,0 +1,20 @@
+{
+  "comments": " We use same setting as for WN18 (based on https://github.com/mnick/holographic-embeddings/blob/c2db6e1554e671ab8e6acace78ec1fd91d6a4b90/run_hole_wn18.sh, however it is not sure whether this is the correct setting) since we couldn't find the setting for FB15k. The evaluation uses the non-deterministic rank, as seen from https://github.com/mnick/holographic-embeddings/blob/c2db6e1554e671ab8e6acace78ec1fd91d6a4b90/kg/base.py#L198.",
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+    "release": "5.4.0-81-generic",
+    "system": "Linux",
+    "torch_version": "1.11.0+cu113"
+  },
+  "title": "Learn FB15K Dataset with HolE as described by Nickel et al., 2016"
+}
\ No newline at end of file
diff --git a/nonasv/results/v1.8.0/cuda/hole/fb15k/nickel2016/results.json b/nonasv/results/v1.8.0/cuda/hole/fb15k/nickel2016/results.json
new file mode 100644
index 0000000..1584b34
--- /dev/null
+++ b/nonasv/results/v1.8.0/cuda/hole/fb15k/nickel2016/results.json
@@ -0,0 +1,246 @@
+{
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\ No newline at end of file
diff --git a/nonasv/results/v1.8.0/cuda/hole/wn18/nickel2016/metadata.json b/nonasv/results/v1.8.0/cuda/hole/wn18/nickel2016/metadata.json
new file mode 100644
index 0000000..e53e97a
--- /dev/null
+++ b/nonasv/results/v1.8.0/cuda/hole/wn18/nickel2016/metadata.json
@@ -0,0 +1,20 @@
+{
+  "comments": "Based on https://github.com/mnick/holographic-embeddings/blob/master/run_hole_wn18.sh, however it is not sure whether this is the correct setting. The evaluation uses the non-deterministic rank, as seen from https://github.com/mnick/holographic-embeddings/blob/c2db6e1554e671ab8e6acace78ec1fd91d6a4b90/kg/base.py#L198.",
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+    "release": "5.4.0-81-generic",
+    "system": "Linux",
+    "torch_version": "1.11.0+cu113"
+  },
+  "title": "Learn WN18 Dataset with HolE as described by Nickel et al., 2016"
+}
\ No newline at end of file
diff --git a/nonasv/results/v1.8.0/cuda/hole/wn18/nickel2016/results.json b/nonasv/results/v1.8.0/cuda/hole/wn18/nickel2016/results.json
new file mode 100644
index 0000000..2bd19a4
--- /dev/null
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\ No newline at end of file
diff --git a/nonasv/results/v1.8.0/cuda/kg2e/fb15k/he2015/metadata.json b/nonasv/results/v1.8.0/cuda/kg2e/fb15k/he2015/metadata.json
new file mode 100644
index 0000000..f9417f7
--- /dev/null
+++ b/nonasv/results/v1.8.0/cuda/kg2e/fb15k/he2015/metadata.json
@@ -0,0 +1,19 @@
+{
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+}
\ No newline at end of file
diff --git a/nonasv/results/v1.8.0/cuda/kg2e/fb15k/he2015/results.json b/nonasv/results/v1.8.0/cuda/kg2e/fb15k/he2015/results.json
new file mode 100644
index 0000000..b403d8e
--- /dev/null
+++ b/nonasv/results/v1.8.0/cuda/kg2e/fb15k/he2015/results.json
@@ -0,0 +1,246 @@
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\ No newline at end of file
diff --git a/nonasv/results/v1.8.0/cuda/kg2e/wn18/he2015/metadata.json b/nonasv/results/v1.8.0/cuda/kg2e/wn18/he2015/metadata.json
new file mode 100644
index 0000000..b5fa871
--- /dev/null
+++ b/nonasv/results/v1.8.0/cuda/kg2e/wn18/he2015/metadata.json
@@ -0,0 +1,19 @@
+{
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+}
\ No newline at end of file
diff --git a/nonasv/results/v1.8.0/cuda/kg2e/wn18/he2015/results.json b/nonasv/results/v1.8.0/cuda/kg2e/wn18/he2015/results.json
new file mode 100644
index 0000000..a66458d
--- /dev/null
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diff --git a/nonasv/results/v1.8.0/cuda/mure/fb15k237/balazevic2019/metadata.json b/nonasv/results/v1.8.0/cuda/mure/fb15k237/balazevic2019/metadata.json
new file mode 100644
index 0000000..2acde2b
--- /dev/null
+++ b/nonasv/results/v1.8.0/cuda/mure/fb15k237/balazevic2019/metadata.json
@@ -0,0 +1,20 @@
+{
+  "comments": "The number of epochs has been inferred from the convergence experiment plot, Figure 2b. The publication favours SGD optimizer over others to ensure comaparabiltiy to RSGD, which is used to optimize the hyperbolic models studied in the same paper. The evaluation uses the non-deterministic variant of rank computation. While it is not guaranteed to yield the same results as average ranking definition due to the unknown properties of the employed sort algorithm (e.g. stability), it is closest to the average rank definition.",
+  "system": {
+    "gpu": {
+      "compute_capability": [
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+        5
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+      "cuda": "11.3",
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+      "name": "Quadro RTX 8000",
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+    "release": "5.4.0-81-generic",
+    "system": "Linux",
+    "torch_version": "1.11.0+cu113"
+  },
+  "title": "Learn FB15K-237 Dataset with MuRE as described by Bala\u017eevi\u0107 et al., 2019"
+}
\ No newline at end of file
diff --git a/nonasv/results/v1.8.0/cuda/mure/fb15k237/balazevic2019/results.json b/nonasv/results/v1.8.0/cuda/mure/fb15k237/balazevic2019/results.json
new file mode 100644
index 0000000..26d64c8
--- /dev/null
+++ b/nonasv/results/v1.8.0/cuda/mure/fb15k237/balazevic2019/results.json
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diff --git a/nonasv/results/v1.8.0/cuda/quate/fb15k/zhang2019/metadata.json b/nonasv/results/v1.8.0/cuda/quate/fb15k/zhang2019/metadata.json
new file mode 100644
index 0000000..1e46a74
--- /dev/null
+++ b/nonasv/results/v1.8.0/cuda/quate/fb15k/zhang2019/metadata.json
@@ -0,0 +1,19 @@
+{
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+}
\ No newline at end of file
diff --git a/nonasv/results/v1.8.0/cuda/quate/fb15k/zhang2019/results.json b/nonasv/results/v1.8.0/cuda/quate/fb15k/zhang2019/results.json
new file mode 100644
index 0000000..734222d
--- /dev/null
+++ b/nonasv/results/v1.8.0/cuda/quate/fb15k/zhang2019/results.json
@@ -0,0 +1,246 @@
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\ No newline at end of file
diff --git a/nonasv/results/v1.8.0/cuda/quate/fb15k237/zhang2019/metadata.json b/nonasv/results/v1.8.0/cuda/quate/fb15k237/zhang2019/metadata.json
new file mode 100644
index 0000000..45d8a38
--- /dev/null
+++ b/nonasv/results/v1.8.0/cuda/quate/fb15k237/zhang2019/metadata.json
@@ -0,0 +1,19 @@
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+}
\ No newline at end of file
diff --git a/nonasv/results/v1.8.0/cuda/quate/fb15k237/zhang2019/results.json b/nonasv/results/v1.8.0/cuda/quate/fb15k237/zhang2019/results.json
new file mode 100644
index 0000000..1630779
--- /dev/null
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diff --git a/nonasv/results/v1.8.0/cuda/quate/wn18/zhang2019/metadata.json b/nonasv/results/v1.8.0/cuda/quate/wn18/zhang2019/metadata.json
new file mode 100644
index 0000000..2af423b
--- /dev/null
+++ b/nonasv/results/v1.8.0/cuda/quate/wn18/zhang2019/metadata.json
@@ -0,0 +1,19 @@
+{
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\ No newline at end of file
diff --git a/nonasv/results/v1.8.0/cuda/quate/wn18/zhang2019/results.json b/nonasv/results/v1.8.0/cuda/quate/wn18/zhang2019/results.json
new file mode 100644
index 0000000..71c3e23
--- /dev/null
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\ No newline at end of file
diff --git a/nonasv/results/v1.8.0/cuda/quate/wn18rr/zhang2019/metadata.json b/nonasv/results/v1.8.0/cuda/quate/wn18rr/zhang2019/metadata.json
new file mode 100644
index 0000000..669b607
--- /dev/null
+++ b/nonasv/results/v1.8.0/cuda/quate/wn18rr/zhang2019/metadata.json
@@ -0,0 +1,19 @@
+{
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+  "title": "Learn WN18RR Data Set with QuatE^1 as described by Zhang et al., 2019."
+}
\ No newline at end of file
diff --git a/nonasv/results/v1.8.0/cuda/quate/wn18rr/zhang2019/results.json b/nonasv/results/v1.8.0/cuda/quate/wn18rr/zhang2019/results.json
new file mode 100644
index 0000000..d822612
--- /dev/null
+++ b/nonasv/results/v1.8.0/cuda/quate/wn18rr/zhang2019/results.json
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\ No newline at end of file
diff --git a/nonasv/results/v1.8.0/cuda/rotate/fb15k/sun2019/metadata.json b/nonasv/results/v1.8.0/cuda/rotate/fb15k/sun2019/metadata.json
new file mode 100644
index 0000000..5dda922
--- /dev/null
+++ b/nonasv/results/v1.8.0/cuda/rotate/fb15k/sun2019/metadata.json
@@ -0,0 +1,20 @@
+{
+  "comments": "Could not find number of epochs; https://github.com/DeepGraphLearning/KnowledgeGraphEmbedding/blob/master/best_config.sh. The evaluation uses the non-deterministic rank, cf. https://github.com/DeepGraphLearning/KnowledgeGraphEmbedding/blob/a0a3cf75e8e324ef113472489a16927c39c997b2/codes/model.py#L406.",
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+  "title": "Learn FB15K Dataset with RotatE as described by Sun et al., 2019"
+}
\ No newline at end of file
diff --git a/nonasv/results/v1.8.0/cuda/rotate/fb15k/sun2019/results.json b/nonasv/results/v1.8.0/cuda/rotate/fb15k/sun2019/results.json
new file mode 100644
index 0000000..df07c04
--- /dev/null
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\ No newline at end of file
diff --git a/nonasv/results/v1.8.0/cuda/rotate/fb15k237/sun2019/metadata.json b/nonasv/results/v1.8.0/cuda/rotate/fb15k237/sun2019/metadata.json
new file mode 100644
index 0000000..f25d2fd
--- /dev/null
+++ b/nonasv/results/v1.8.0/cuda/rotate/fb15k237/sun2019/metadata.json
@@ -0,0 +1,20 @@
+{
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+}
\ No newline at end of file
diff --git a/nonasv/results/v1.8.0/cuda/rotate/fb15k237/sun2019/results.json b/nonasv/results/v1.8.0/cuda/rotate/fb15k237/sun2019/results.json
new file mode 100644
index 0000000..4c66513
--- /dev/null
+++ b/nonasv/results/v1.8.0/cuda/rotate/fb15k237/sun2019/results.json
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\ No newline at end of file
diff --git a/nonasv/results/v1.8.0/cuda/rotate/wn18/sun2019/metadata.json b/nonasv/results/v1.8.0/cuda/rotate/wn18/sun2019/metadata.json
new file mode 100644
index 0000000..6ee6351
--- /dev/null
+++ b/nonasv/results/v1.8.0/cuda/rotate/wn18/sun2019/metadata.json
@@ -0,0 +1,20 @@
+{
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+  "title": "Learn WN18 Dataset with RotatE as described by Sun et al., 2019;"
+}
\ No newline at end of file
diff --git a/nonasv/results/v1.8.0/cuda/rotate/wn18/sun2019/results.json b/nonasv/results/v1.8.0/cuda/rotate/wn18/sun2019/results.json
new file mode 100644
index 0000000..e447740
--- /dev/null
+++ b/nonasv/results/v1.8.0/cuda/rotate/wn18/sun2019/results.json
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\ No newline at end of file
diff --git a/nonasv/results/v1.8.0/cuda/rotate/wn18rr/sun2019/metadata.json b/nonasv/results/v1.8.0/cuda/rotate/wn18rr/sun2019/metadata.json
new file mode 100644
index 0000000..0acad86
--- /dev/null
+++ b/nonasv/results/v1.8.0/cuda/rotate/wn18rr/sun2019/metadata.json
@@ -0,0 +1,20 @@
+{
+  "comments": "Could not find number of epochs. The evaluation uses the non-deterministic rank, cf. https://github.com/DeepGraphLearning/KnowledgeGraphEmbedding/blob/a0a3cf75e8e324ef113472489a16927c39c997b2/codes/model.py#L406 .",
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+  "title": "Learn WN18RR Dataset with RotatE as described by Sun et al., 2019; https://github.com/DeepGraphLearning/KnowledgeGraphEmbedding/blob/master/best_config.sh"
+}
\ No newline at end of file
diff --git a/nonasv/results/v1.8.0/cuda/rotate/wn18rr/sun2019/results.json b/nonasv/results/v1.8.0/cuda/rotate/wn18rr/sun2019/results.json
new file mode 100644
index 0000000..9d80498
--- /dev/null
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\ No newline at end of file
diff --git a/nonasv/results/v1.8.0/cuda/simple/fb15k/kazemi2018/metadata.json b/nonasv/results/v1.8.0/cuda/simple/fb15k/kazemi2018/metadata.json
new file mode 100644
index 0000000..8ca03b4
--- /dev/null
+++ b/nonasv/results/v1.8.0/cuda/simple/fb15k/kazemi2018/metadata.json
@@ -0,0 +1,20 @@
+{
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+}
\ No newline at end of file
diff --git a/nonasv/results/v1.8.0/cuda/simple/fb15k/kazemi2018/results.json b/nonasv/results/v1.8.0/cuda/simple/fb15k/kazemi2018/results.json
new file mode 100644
index 0000000..b7ad605
--- /dev/null
+++ b/nonasv/results/v1.8.0/cuda/simple/fb15k/kazemi2018/results.json
@@ -0,0 +1,246 @@
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\ No newline at end of file
diff --git a/nonasv/results/v1.8.0/cuda/simple/wn18/kazemi2018/metadata.json b/nonasv/results/v1.8.0/cuda/simple/wn18/kazemi2018/metadata.json
new file mode 100644
index 0000000..99e152d
--- /dev/null
+++ b/nonasv/results/v1.8.0/cuda/simple/wn18/kazemi2018/metadata.json
@@ -0,0 +1,20 @@
+{
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+  "title": "Learn WN18 Dataset with SimplE as described by Kazemi et al., 2018"
+}
\ No newline at end of file
diff --git a/nonasv/results/v1.8.0/cuda/simple/wn18/kazemi2018/results.json b/nonasv/results/v1.8.0/cuda/simple/wn18/kazemi2018/results.json
new file mode 100644
index 0000000..48bb631
--- /dev/null
+++ b/nonasv/results/v1.8.0/cuda/simple/wn18/kazemi2018/results.json
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\ No newline at end of file
diff --git a/nonasv/results/v1.8.0/cuda/transd/fb15k/ji2015/metadata.json b/nonasv/results/v1.8.0/cuda/transd/fb15k/ji2015/metadata.json
new file mode 100644
index 0000000..87c1425
--- /dev/null
+++ b/nonasv/results/v1.8.0/cuda/transd/fb15k/ji2015/metadata.json
@@ -0,0 +1,20 @@
+{
+  "comments": "We assumed the learning rate for Adadelta as the default from PyTorch since it was not explicitly stated in the original paper",
+  "system": {
+    "gpu": {
+      "compute_capability": [
+        7,
+        5
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+      "cuda": "11.3",
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+    "release": "5.4.0-81-generic",
+    "system": "Linux",
+    "torch_version": "1.11.0+cu113"
+  },
+  "title": "Learn FB15K Dataset with TransD as described by Ji et al., 2015"
+}
\ No newline at end of file
diff --git a/nonasv/results/v1.8.0/cuda/transd/fb15k/ji2015/results.json b/nonasv/results/v1.8.0/cuda/transd/fb15k/ji2015/results.json
new file mode 100644
index 0000000..a6230c9
--- /dev/null
+++ b/nonasv/results/v1.8.0/cuda/transd/fb15k/ji2015/results.json
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\ No newline at end of file
diff --git a/nonasv/results/v1.8.0/cuda/transd/wn18/ji2015/metadata.json b/nonasv/results/v1.8.0/cuda/transd/wn18/ji2015/metadata.json
new file mode 100644
index 0000000..f9e9946
--- /dev/null
+++ b/nonasv/results/v1.8.0/cuda/transd/wn18/ji2015/metadata.json
@@ -0,0 +1,20 @@
+{
+  "comments": "We assumed the learning rate for Adadelta as the default from PyTorch since it was not explicitly stated in the original paper",
+  "system": {
+    "gpu": {
+      "compute_capability": [
+        7,
+        5
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+    "release": "5.4.0-81-generic",
+    "system": "Linux",
+    "torch_version": "1.11.0+cu113"
+  },
+  "title": "Learn WN18 Dataset with TransD as described by Ji et al., 2015"
+}
\ No newline at end of file
diff --git a/nonasv/results/v1.8.0/cuda/transd/wn18/ji2015/results.json b/nonasv/results/v1.8.0/cuda/transd/wn18/ji2015/results.json
new file mode 100644
index 0000000..ce10c4c
--- /dev/null
+++ b/nonasv/results/v1.8.0/cuda/transd/wn18/ji2015/results.json
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\ No newline at end of file
diff --git a/nonasv/results/v1.8.0/cuda/transe/fb15k/bordes2013/metadata.json b/nonasv/results/v1.8.0/cuda/transe/fb15k/bordes2013/metadata.json
new file mode 100644
index 0000000..d1f10e5
--- /dev/null
+++ b/nonasv/results/v1.8.0/cuda/transe/fb15k/bordes2013/metadata.json
@@ -0,0 +1,20 @@
+{
+  "comments": "Batch_size is not mentioned in the paper. We found out that this value works.",
+  "system": {
+    "gpu": {
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+    "system": "Linux",
+    "torch_version": "1.11.0+cu113"
+  },
+  "title": "Learn FB15K Dataset with TransE as described by Bordes et al., 2013"
+}
\ No newline at end of file
diff --git a/nonasv/results/v1.8.0/cuda/transe/fb15k/bordes2013/results.json b/nonasv/results/v1.8.0/cuda/transe/fb15k/bordes2013/results.json
new file mode 100644
index 0000000..c28d148
--- /dev/null
+++ b/nonasv/results/v1.8.0/cuda/transe/fb15k/bordes2013/results.json
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\ No newline at end of file
diff --git a/nonasv/results/v1.8.0/cuda/transe/fb15k237/nguyen2018/metadata.json b/nonasv/results/v1.8.0/cuda/transe/fb15k237/nguyen2018/metadata.json
new file mode 100644
index 0000000..a0879b0
--- /dev/null
+++ b/nonasv/results/v1.8.0/cuda/transe/fb15k237/nguyen2018/metadata.json
@@ -0,0 +1,20 @@
+{
+  "comments": "TransE was used to initialize the emebddigns. Could not find batch size and number of epochs.",
+  "system": {
+    "gpu": {
+      "compute_capability": [
+        7,
+        5
+      ],
+      "cuda": "11.3",
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+    "release": "5.4.0-81-generic",
+    "system": "Linux",
+    "torch_version": "1.11.0+cu113"
+  },
+  "title": "Learn FB15k-237 Dataset with ConvKB as described by Nguyen et al., 2018"
+}
\ No newline at end of file
diff --git a/nonasv/results/v1.8.0/cuda/transe/fb15k237/nguyen2018/results.json b/nonasv/results/v1.8.0/cuda/transe/fb15k237/nguyen2018/results.json
new file mode 100644
index 0000000..c4959c0
--- /dev/null
+++ b/nonasv/results/v1.8.0/cuda/transe/fb15k237/nguyen2018/results.json
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\ No newline at end of file
diff --git a/nonasv/results/v1.8.0/cuda/transe/wn18/bordes2013/metadata.json b/nonasv/results/v1.8.0/cuda/transe/wn18/bordes2013/metadata.json
new file mode 100644
index 0000000..ed2916a
--- /dev/null
+++ b/nonasv/results/v1.8.0/cuda/transe/wn18/bordes2013/metadata.json
@@ -0,0 +1,20 @@
+{
+  "comments": "Num_epochs varies from the value reported in the paper, and batch_size is not mentioned in the paper. We found out that these values work.",
+  "system": {
+    "gpu": {
+      "compute_capability": [
+        7,
+        5
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+    "release": "5.4.0-81-generic",
+    "system": "Linux",
+    "torch_version": "1.11.0+cu113"
+  },
+  "title": "Learn WordNet Dataset with TransE as described by Bordes et al., 2013"
+}
\ No newline at end of file
diff --git a/nonasv/results/v1.8.0/cuda/transe/wn18/bordes2013/results.json b/nonasv/results/v1.8.0/cuda/transe/wn18/bordes2013/results.json
new file mode 100644
index 0000000..fc1ce94
--- /dev/null
+++ b/nonasv/results/v1.8.0/cuda/transe/wn18/bordes2013/results.json
@@ -0,0 +1,246 @@
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\ No newline at end of file
diff --git a/nonasv/results/v1.8.0/cuda/transh/fb15k/wang2014/metadata.json b/nonasv/results/v1.8.0/cuda/transh/fb15k/wang2014/metadata.json
new file mode 100644
index 0000000..80f6ec5
--- /dev/null
+++ b/nonasv/results/v1.8.0/cuda/transh/fb15k/wang2014/metadata.json
@@ -0,0 +1,19 @@
+{
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+  "title": "Learn FB15K Dataset with TransH as described by Wang et al., 2014"
+}
\ No newline at end of file
diff --git a/nonasv/results/v1.8.0/cuda/transh/fb15k/wang2014/results.json b/nonasv/results/v1.8.0/cuda/transh/fb15k/wang2014/results.json
new file mode 100644
index 0000000..9b4f3bc
--- /dev/null
+++ b/nonasv/results/v1.8.0/cuda/transh/fb15k/wang2014/results.json
@@ -0,0 +1,246 @@
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diff --git a/nonasv/results/v1.8.0/cuda/transh/wn18/wang2014/metadata.json b/nonasv/results/v1.8.0/cuda/transh/wn18/wang2014/metadata.json
new file mode 100644
index 0000000..3d243a1
--- /dev/null
+++ b/nonasv/results/v1.8.0/cuda/transh/wn18/wang2014/metadata.json
@@ -0,0 +1,19 @@
+{
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+  "title": "Learn WN18 Dataset with TransH as described by Wang et al., 2014"
+}
\ No newline at end of file
diff --git a/nonasv/results/v1.8.0/cuda/transh/wn18/wang2014/results.json b/nonasv/results/v1.8.0/cuda/transh/wn18/wang2014/results.json
new file mode 100644
index 0000000..28f9432
--- /dev/null
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\ No newline at end of file
diff --git a/nonasv/results/v1.8.0/cuda/transr/fb15k/li2015/metadata.json b/nonasv/results/v1.8.0/cuda/transr/fb15k/li2015/metadata.json
new file mode 100644
index 0000000..67eab9e
--- /dev/null
+++ b/nonasv/results/v1.8.0/cuda/transr/fb15k/li2015/metadata.json
@@ -0,0 +1,19 @@
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+}
\ No newline at end of file
diff --git a/nonasv/results/v1.8.0/cuda/transr/fb15k/li2015/results.json b/nonasv/results/v1.8.0/cuda/transr/fb15k/li2015/results.json
new file mode 100644
index 0000000..4aa2bbc
--- /dev/null
+++ b/nonasv/results/v1.8.0/cuda/transr/fb15k/li2015/results.json
@@ -0,0 +1,246 @@
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\ No newline at end of file
diff --git a/nonasv/results/v1.8.0/cuda/transr/wn18/li2015/metadata.json b/nonasv/results/v1.8.0/cuda/transr/wn18/li2015/metadata.json
new file mode 100644
index 0000000..512d190
--- /dev/null
+++ b/nonasv/results/v1.8.0/cuda/transr/wn18/li2015/metadata.json
@@ -0,0 +1,19 @@
+{
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+}
\ No newline at end of file
diff --git a/nonasv/results/v1.8.0/cuda/transr/wn18/li2015/results.json b/nonasv/results/v1.8.0/cuda/transr/wn18/li2015/results.json
new file mode 100644
index 0000000..7c3c728
--- /dev/null
+++ b/nonasv/results/v1.8.0/cuda/transr/wn18/li2015/results.json
@@ -0,0 +1,246 @@
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\ No newline at end of file
diff --git a/nonasv/results/v1.8.0/cuda/tucker/fb15k/balazevic2019/metadata.json b/nonasv/results/v1.8.0/cuda/tucker/fb15k/balazevic2019/metadata.json
new file mode 100644
index 0000000..0749f69
--- /dev/null
+++ b/nonasv/results/v1.8.0/cuda/tucker/fb15k/balazevic2019/metadata.json
@@ -0,0 +1,20 @@
+{
+  "comments": "No label smoothing has been used for FB15k. Check whether dropouts are used correctly. They make use of inverse relations. Could not find number of epochs. In the code 500 was the default value for all datasets, that's why we assume that this is the number of epochs. For evaluation, the non-deterministic rank is used, cf. https://github.com/ibalazevic/TuckER/blob/63dbba8751670db0d807579303679c0a2c266130/main.py#L78 .",
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+  },
+  "title": "Learn FB15K Dataset with TuckER as described by Balazevic et al., 2019"
+}
\ No newline at end of file
diff --git a/nonasv/results/v1.8.0/cuda/tucker/fb15k/balazevic2019/results.json b/nonasv/results/v1.8.0/cuda/tucker/fb15k/balazevic2019/results.json
new file mode 100644
index 0000000..7df7ae6
--- /dev/null
+++ b/nonasv/results/v1.8.0/cuda/tucker/fb15k/balazevic2019/results.json
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\ No newline at end of file
diff --git a/nonasv/results/v1.8.0/cuda/tucker/fb15k237/balazevic2019/metadata.json b/nonasv/results/v1.8.0/cuda/tucker/fb15k237/balazevic2019/metadata.json
new file mode 100644
index 0000000..2a76f64
--- /dev/null
+++ b/nonasv/results/v1.8.0/cuda/tucker/fb15k237/balazevic2019/metadata.json
@@ -0,0 +1,20 @@
+{
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+  "title": "Learn FB15K-237 Dataset with TuckER as described by Balazevic et al., 2019"
+}
\ No newline at end of file
diff --git a/nonasv/results/v1.8.0/cuda/tucker/fb15k237/balazevic2019/results.json b/nonasv/results/v1.8.0/cuda/tucker/fb15k237/balazevic2019/results.json
new file mode 100644
index 0000000..684147b
--- /dev/null
+++ b/nonasv/results/v1.8.0/cuda/tucker/fb15k237/balazevic2019/results.json
@@ -0,0 +1,246 @@
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\ No newline at end of file
diff --git a/nonasv/results/v1.8.0/cuda/tucker/wn18/balazevic2019/metadata.json b/nonasv/results/v1.8.0/cuda/tucker/wn18/balazevic2019/metadata.json
new file mode 100644
index 0000000..9cea214
--- /dev/null
+++ b/nonasv/results/v1.8.0/cuda/tucker/wn18/balazevic2019/metadata.json
@@ -0,0 +1,20 @@
+{
+  "comments": "Check whether dropouts are used correctly. They make use of inverse relations. Could not find number of epochs.In the code 500 was the default value for all datasets, that's we assume that this is the number of epochs. For evaluation, the non-deterministic rank is used, cf. https://github.com/ibalazevic/TuckER/blob/63dbba8751670db0d807579303679c0a2c266130/main.py#L78 .",
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+        5
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+    "release": "5.4.0-81-generic",
+    "system": "Linux",
+    "torch_version": "1.11.0+cu113"
+  },
+  "title": "Learn WN18 Dataset with TuckER as described by Balazevic et al., 2019"
+}
\ No newline at end of file
diff --git a/nonasv/results/v1.8.0/cuda/tucker/wn18/balazevic2019/results.json b/nonasv/results/v1.8.0/cuda/tucker/wn18/balazevic2019/results.json
new file mode 100644
index 0000000..93f0ec8
--- /dev/null
+++ b/nonasv/results/v1.8.0/cuda/tucker/wn18/balazevic2019/results.json
@@ -0,0 +1,246 @@
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\ No newline at end of file
diff --git a/nonasv/results/v1.8.0/cuda/tucker/wn18rr/balazevic2019/metadata.json b/nonasv/results/v1.8.0/cuda/tucker/wn18rr/balazevic2019/metadata.json
new file mode 100644
index 0000000..c14d63d
--- /dev/null
+++ b/nonasv/results/v1.8.0/cuda/tucker/wn18rr/balazevic2019/metadata.json
@@ -0,0 +1,20 @@
+{
+  "comments": "Check whether dropouts are used correctly. They make use of inverse relations. Could not find number of epochs.In the code 500 was the default value for all datasets, that's we assume that this is the number of epochs. For evaluation, the non-deterministic rank is used, cf. https://github.com/ibalazevic/TuckER/blob/63dbba8751670db0d807579303679c0a2c266130/main.py#L78 .",
+  "system": {
+    "gpu": {
+      "compute_capability": [
+        7,
+        5
+      ],
+      "cuda": "11.3",
+      "cudnn": 8200,
+      "name": "Quadro RTX 8000",
+      "total_memory": 50962169856
+    },
+    "machine": "x86_64",
+    "release": "5.4.0-81-generic",
+    "system": "Linux",
+    "torch_version": "1.11.0+cu113"
+  },
+  "title": "Learn WN18RR Dataset with TuckER as described by Balazevic et al., 2019"
+}
\ No newline at end of file
diff --git a/nonasv/results/v1.8.0/cuda/tucker/wn18rr/balazevic2019/results.json b/nonasv/results/v1.8.0/cuda/tucker/wn18rr/balazevic2019/results.json
new file mode 100644
index 0000000..04dd837
--- /dev/null
+++ b/nonasv/results/v1.8.0/cuda/tucker/wn18rr/balazevic2019/results.json
@@ -0,0 +1,246 @@
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\ No newline at end of file
diff --git a/nonasv/results/v1.8.0/summary.tsv b/nonasv/results/v1.8.0/summary.tsv
new file mode 100644
index 0000000..1909631
--- /dev/null
+++ b/nonasv/results/v1.8.0/summary.tsv
@@ -0,0 +1,39 @@
+batch_size.evaluation	evaluation	path	training
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