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@@ -52,3 +52,6 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.jpg filter=lfs diff=lfs merge=lfs -text
 *.jpeg filter=lfs diff=lfs merge=lfs -text
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+data/2.hdf5 filter=lfs diff=lfs merge=lfs -text
+data/3.hdf5 filter=lfs diff=lfs merge=lfs -text
+data/4.hdf5 filter=lfs diff=lfs merge=lfs -text

data/2.hdf5

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data/3.hdf5

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metadata/1.json

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+{"gameid": 1, "version": "3.6.6", "points": 1781, "deathdnum": 0, "deathlev": 1, "maxlvl": 1, "hp": 0, "maxhp": 56, "deaths": 1, "deathdate": 20220518, "birthdate": 20220518, "uid": 1185200751, "role": "Sam", "race": "Hum", "gender": "Mal", "align": "Law", "name": "Agent", "death": "killed by a hobbit while frozen by a monster's gaze", "conduct": "0xfc0", "turns": 9717, "achieve": "0x0", "realtime": 53, "starttime": 1652877482, "endtime": 1652877535, "gender0": "Mal", "align0": "Law", "flags": "0x4"}

metadata/2.json

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+{"gameid": 2, "version": "3.6.6", "points": 10000, "deathdnum": 2, "deathlev": 5, "maxlvl": 5, "hp": 0, "maxhp": 82, "deaths": 1, "deathdate": 20220518, "birthdate": 20220518, "uid": 1185200751, "role": "Cav", "race": "Dwa", "gender": "Mal", "align": "Law", "name": "Agent", "death": "poisoned by a rotted giant ant corpse", "conduct": "0xf80", "turns": 26577, "achieve": "0x0", "realtime": 147, "starttime": 1652877536, "endtime": 1652877683, "gender0": "Mal", "align0": "Law", "flags": "0x4"}

metadata/3.json

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+{"gameid": 3, "version": "3.6.6", "points": 4805, "deathdnum": 0, "deathlev": 1, "maxlvl": 1, "hp": 0, "maxhp": 55, "deaths": 1, "deathdate": 20220518, "birthdate": 20220518, "uid": 1185200751, "role": "Kni", "race": "Hum", "gender": "Mal", "align": "Law", "name": "Agent", "death": "killed by a giant rat while fainted from lack of food", "conduct": "0xf80", "turns": 20808, "achieve": "0x0", "realtime": 108, "starttime": 1652878150, "endtime": 1652878258, "gender0": "Mal", "align0": "Law", "flags": "0x4"}

metadata/4.json

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+{"gameid": 4, "version": "3.6.6", "points": 53678, "deathdnum": 2, "deathlev": 6, "maxlvl": 7, "hp": 0, "maxhp": 110, "deaths": 1, "deathdate": 20220518, "birthdate": 20220518, "uid": 1185200751, "role": "Bar", "race": "Orc", "gender": "Mal", "align": "Cha", "name": "Agent", "death": "killed by a leocrotta while fainted from lack of food", "conduct": "0xf80", "turns": 41646, "achieve": "0x0", "realtime": 301, "starttime": 1652878258, "endtime": 1652878559, "gender0": "Mal", "align0": "Cha", "flags": "0x4"}

metadata/5.json

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+{"gameid": 5, "version": "3.6.6", "points": 2055, "deathdnum": 0, "deathlev": 1, "maxlvl": 1, "hp": 0, "maxhp": 49, "deaths": 1, "deathdate": 20220518, "birthdate": 20220518, "uid": 1185200751, "role": "Cav", "race": "Gno", "gender": "Fem", "align": "Neu", "name": "Agent", "death": "killed by a gecko while fainted from lack of food", "conduct": "0xfc0", "turns": 15617, "achieve": "0x0", "realtime": 65, "starttime": 1652878559, "endtime": 1652878624, "gender0": "Fem", "align0": "Neu", "flags": "0x4"}

nle_hf_dataset.py

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+# Copyright 2020 The HuggingFace Datasets Authors and the current dataset script contributor.
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+""" Dungeons and Data: A Large-Scale NetHack Dataset. """
+
+import h5py
+import json
+import os
+import datasets
+
+
+_CITATION = """\
+@article{hambro2022dungeons,
+  title={Dungeons and Data: A Large-Scale NetHack Dataset},
+  author={Hambro, Eric and Raileanu, Roberta and Rothermel, Danielle and Mella, Vegard and Rockt{\"a}schel, Tim and K{\"u}ttler, Heinrich and Murray, Naila},
+  journal={arXiv preprint arXiv:2211.00539},
+  year={2022}
+}
+"""
+
+_DESCRIPTION = """\
+3 billion state-action-score transitions from 100,000 trajectories collected from the symbolic bot winner of the NetHack Challenge 2021.
+"""
+
+_HOMEPAGE = ""
+
+_LICENSE = ""
+
+_URLS = {
+    "data": "https://huggingface.co/datasets/Howuhh/nle_hf_dataset/tree/main/data",
+    "metadata": "https://huggingface.co/datasets/Howuhh/nle_hf_dataset/tree/main/metadata",
+}
+
+class NleHfDataset(datasets.GeneratorBasedBuilder):
+    """Dungeons and Data: A Large-Scale NetHack Dataset."""
+    VERSION = datasets.Version("1.0.0")
+
+    BUILDER_CONFIGS = [
+        datasets.BuilderConfig(name="data", version=VERSION, description="Data for all episodes"),
+        datasets.BuilderConfig(name="metadata", version=VERSION, description="Metadata for all episodes"),
+    ]
+    DEFAULT_CONFIG_NAME = "metadata"  # It's not mandatory to have a default configuration. Just use one if it make sense.
+
+    def _info(self):
+        if self.config.name == "metadata":
+            features = datasets.Features(
+                {
+                    "gameid": datasets.Value("int32"), 
+                    "version": datasets.Value("string"), 
+                    "points": datasets.Value("int32"), 
+                    "deathdnum": datasets.Value("int32"), 
+                    "deathlev": datasets.Value("int32"), 
+                    "maxlvl": datasets.Value("int32"), 
+                    "hp": datasets.Value("int32"), 
+                    "maxhp": datasets.Value("int32"), 
+                    "deaths": datasets.Value("int32"), 
+                    "deathdate": datasets.Value("int32"), 
+                    "birthdate": datasets.Value("int32"), 
+                    "uid": datasets.Value("int32"), 
+                    "role": datasets.Value("string"), 
+                    "race": datasets.Value("string"), 
+                    "gender": datasets.Value("string"), 
+                    "align": datasets.Value("string"), 
+                    "name": datasets.Value("string"), 
+                    "death": datasets.Value("string"), 
+                    "conduct": datasets.Value("string"), 
+                    "turns": datasets.Value("int32"), 
+                    "achieve": datasets.Value("string"), 
+                    "realtime": datasets.Value("int64"), 
+                    "starttime": datasets.Value("int64"), 
+                    "endtime": datasets.Value("int64"), 
+                    "gender0": datasets.Value("string"), 
+                    "align0": datasets.Value("string"), 
+                    "flags": datasets.Value("string")
+                }
+            )
+        else:
+            features = datasets.Features(
+                {
+                    "tty_chars": datasets.Value("uint8"),
+                    "tty_colors": datasets.Value("int8"),
+                    "tty_cursor": datasets.Value("int16"),
+                    "actions": datasets.Value("int16"),
+                    "rewards": datasets.Value("int32"),
+                    "dones": datasets.Value("bool"),
+                }
+            )
+        
+        return datasets.DatasetInfo(
+            description=_DESCRIPTION,
+            features=features,
+            homepage=_HOMEPAGE,
+            license=_LICENSE,
+            citation=_CITATION,
+        )
+
+    def _split_generators(self, dl_manager):
+        urls = _URLS[self.config.name]
+        data_dir = dl_manager.download_and_extract(urls)
+        return [
+            datasets.SplitGenerator(
+                name=datasets.Split.TRAIN,
+                gen_kwargs={"filepath": data_dir, "split": "train"},
+            )
+        ]
+
+    def _generate_examples(self, filepath, split):
+        if self.config.name == "metadata":
+            for i in range(1, 5):
+                with open(os.path.join(filepath, f"{i}.json"), encoding="utf-8") as f:
+                    data = json.loads(f.read())
+                
+                yield i, data
+        else:
+            for i in range(1, 5):
+                with h5py.File(os.path.join(filepath, f"{i}.hdf5"), "r") as f:
+                    yield i, {
+                        "tty_chars": f["tty_chars"][()],
+                        "tty_colors": f["tty_colors"][()],
+                        "tty_cursor": f["tty_cusor"][()],
+                        "actions": f["actions"][()],
+                        "rewards": f["rewards"][()],
+                        "dones": f["dones"][()]
+                    }