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diff --git a/checkpoint_500000/target.token_embedder.embedding/0.0 b/checkpoint_500000/target.token_embedder.embedding/0.0
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diff --git a/config.gin b/config.gin
index 0cb016ad34aa342c1644d719a1c0d34bd19a071b..db6b568766f84182c2ad6e1c6af7c70e84260011 100644
--- a/config.gin
+++ b/config.gin
@@ -23,7 +23,7 @@ MODEL_DIR = '/researchdisk/t5x-mini-nl8-finnish'
 OPTIMIZER = @adafactor.Adafactor()
 RANDOM_SEED = None
 SHUFFLE_TRAIN_EXAMPLES = True
-TASK_FEATURE_LENGTHS = {'inputs': 512, 'targets': 114}
+TASK_FEATURE_LENGTHS = {'inputs': 512, 'targets': 512}
 TRAIN_STEPS = 500000
 USE_CACHED_TASKS = False
 USE_HARDWARE_RNG = False
@@ -97,7 +97,7 @@ utils.RestoreCheckpointConfig.path = []
 # ==============================================================================
 utils.SaveCheckpointConfig.dtype = 'float32'
 utils.SaveCheckpointConfig.keep = 5
-utils.SaveCheckpointConfig.period = 20000
+utils.SaveCheckpointConfig.period = 10000
 utils.SaveCheckpointConfig.save_dataset = False
 
 # Parameters for seqio.SentencePieceVocabulary:
diff --git a/flax_model.msgpack b/flax_model.msgpack
deleted file mode 100644
index e9fde3252e6e79045f8f3c50bdbb076e0755251b..0000000000000000000000000000000000000000
--- a/flax_model.msgpack
+++ /dev/null
@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:a6569d61dd4c170e1cb81f0196ceb6130831c2bd535c170484a4608b7b6d31af
-size 287515687
diff --git a/mini_nl8_pretrain.gin b/mini_nl8_pretrain.gin
index d26238c6e7d8a8b02d8ab46677c0fce82824ea4c..414fb526316986305fa3701ecc10b0d5627d1dae 100644
--- a/mini_nl8_pretrain.gin
+++ b/mini_nl8_pretrain.gin
@@ -13,12 +13,12 @@ train_script.train:
   eval_period = 10000
 
 utils.SaveCheckpointConfig:
-  period = 20000
+  period = 10000
   keep = 5
 
 MIXTURE_OR_TASK_NAME = "pretrain_finnish"
 USE_CACHED_TASKS = False
-TASK_FEATURE_LENGTHS = {"inputs": 512, "targets": 114}
+TASK_FEATURE_LENGTHS = {"inputs": 512, "targets": 512}
 TRAIN_STEPS = 500000
 DROPOUT_RATE = 0.0
 BATCH_SIZE = 256
\ No newline at end of file
diff --git a/tasks.py b/tasks.py
index 596134fae36ed23eae52639160782b1309d2a0a3..b1a98caa4b7a473af0284e25edfd49edc549e14a 100644
--- a/tasks.py
+++ b/tasks.py
@@ -1,49 +1,82 @@
+# adapted from https://huggingface.co/pere/pk-nb-t5x/blob/main/tasks.py
+
 import functools
+
 import seqio
-from t5.evaluation import metrics
+import tensorflow as tf
+import t5.data
+from datasets import load_dataset, load_from_disk
+from t5.data import postprocessors
 from t5.data import preprocessors
+from t5.evaluation import metrics
+from seqio import FunctionDataSource, utils
 
-vocabulary = seqio.SentencePieceVocabulary('spiece.model')
-output_features = {
-    'inputs': seqio.Feature(vocabulary=vocabulary, add_eos=True, required=False),
-    'targets': seqio.Feature(vocabulary=vocabulary, add_eos=True)
+TaskRegistry = seqio.TaskRegistry
+
+vocabulary = seqio.SentencePieceVocabulary('spiece.model', extra_ids=0)
+
+DEFAULT_OUTPUT_FEATURES = {
+    "inputs": seqio.Feature(
+        vocabulary=vocabulary, add_eos=True,
+        required=False),
+    "targets": seqio.Feature(
+        vocabulary=vocabulary, add_eos=True)
 }
 
-seqio.TaskRegistry.add(
-    'pretrain_finnish',
-    source=seqio.TextLineDataSource({
-        "train": "/researchdisk/lm_training_dataset_full_sentences/train.txt",
-        "validation": "/researchdisk/lm_training_dataset_full_sentences/validation.txt"
-        }),
+
+def gen_dataset(split, shuffle=False, seed=None, column="text", dataset=None):
+    if shuffle:
+        if seed:
+            dataset = dataset.shuffle(seed=seed)
+        else:
+            dataset = dataset.shuffle()
+    while True:
+        for item in dataset[str(split)]:
+            yield item[column]
+
+
+def dataset_fn(split, shuffle_files, seed=None, dataset=None):
+    return tf.data.Dataset.from_generator(
+        functools.partial(gen_dataset, split, shuffle_files, seed, dataset=dataset),
+        output_signature=tf.TensorSpec(shape=(), dtype=tf.string, name=dataset_name)
+    )
+
+
+@utils.map_over_dataset
+def target_to_key(x, key_map, target_key):
+    """Assign the value from the dataset to target_key in key_map"""
+    return {**key_map, target_key: x}
+
+
+# Final pretraining task used in Raffel et al., 2019 adaptated to NCC
+dataset_name = "/researchdisk/lm_training_dataset_full"
+dataset_params = {"from_disk_path": dataset_name}
+
+if "from_disk_path" in dataset_params:
+    dataset = load_from_disk(dataset_params.get("from_disk_path"))
+else:
+    dataset = load_dataset(**dataset_params)
+
+dataset_shapes = {"train": dataset["train"].num_rows, "validation": dataset["validation"].num_rows}
+TaskRegistry.add(
+    "pretrain_finnish",
+    source=seqio.FunctionDataSource(
+        dataset_fn=functools.partial(dataset_fn, dataset=dataset),
+        splits=("train", "validation"),
+        caching_permitted=False,
+        num_input_examples=dataset_shapes,
+    ),
     preprocessors=[
         functools.partial(
-            preprocessors.parse_tsv,
-            field_names=["text"],
-            field_delim="\n"),
-        functools.partial(
-            preprocessors.rekey, key_map={
+            target_to_key, key_map={
                 "inputs": None,
-                "targets": "text"
-            }),
+                "targets": None,
+            }, target_key="targets"),
         seqio.preprocessors.tokenize,
-        seqio.CacheDatasetPlaceholder(),
-        preprocessors.span_corruption,
+        # seqio.CacheDatasetPlaceholder(),
+        preprocessors.span_corruption, 
         seqio.preprocessors.append_eos_after_trim,
     ],
-    metric_fns=[metrics.accuracy],
-    output_features=output_features)
-
-# dataset = seqio.get_mixture_or_task("pretrain_finnish").get_dataset(
-#     sequence_length={"inputs": 512, "targets": 114},
-#     split="train",
-#     shuffle=True,
-#     num_epochs=1,
-#     #shard_info=seqio.ShardInfo(index=0, num_shards=10),
-#     use_cached=False,
-#     seed=42
-# )
-
-
-# # Print the first 5 examples.
-# for _, ex in zip(range(5), dataset.as_numpy_iterator()):
-#     print(ex)
+    output_features={"targets": DEFAULT_OUTPUT_FEATURES["targets"]},
+    metric_fns=[metrics.accuracy]
+)
\ No newline at end of file
diff --git a/train/events.out.tfevents.1648739114.t1v-n-304587cf-w-0.380189.0.v2 b/train/events.out.tfevents.1648739114.t1v-n-304587cf-w-0.380189.0.v2
deleted file mode 100644
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--- a/train/events.out.tfevents.1648739114.t1v-n-304587cf-w-0.380189.0.v2
+++ /dev/null
@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:db03c5d05fcd7077599f79d54efba3a60657d14dd44a6afb0c31476567e462ce
-size 77034
diff --git a/train/events.out.tfevents.1649519646.t1v-n-304587cf-w-0.2118590.0.v2 b/train/events.out.tfevents.1649519646.t1v-n-304587cf-w-0.2118590.0.v2
new file mode 100644
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--- /dev/null
+++ b/train/events.out.tfevents.1649519646.t1v-n-304587cf-w-0.2118590.0.v2
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:b09222db4d3f682eeb79f1ad60401da3b9b910a872a18ff1573c133e350b069d
+size 6026
diff --git a/training_eval/pretrain_finnish/events.out.tfevents.1648739114.t1v-n-304587cf-w-0.380189.1.v2 b/training_eval/pretrain_finnish/events.out.tfevents.1648739114.t1v-n-304587cf-w-0.380189.1.v2
deleted file mode 100644
index 550bfa8c3b87e0c047b3bbfc808e09ab5f881ca9..0000000000000000000000000000000000000000
--- a/training_eval/pretrain_finnish/events.out.tfevents.1648739114.t1v-n-304587cf-w-0.380189.1.v2
+++ /dev/null
@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:c92d03ecafef00cdff0f0587e881bd5f3f5828031c80421f346fd33156b3d4cc
-size 65359
diff --git a/training_eval/pretrain_finnish/events.out.tfevents.1649519646.t1v-n-304587cf-w-0.2118590.1.v2 b/training_eval/pretrain_finnish/events.out.tfevents.1649519646.t1v-n-304587cf-w-0.2118590.1.v2
new file mode 100644
index 0000000000000000000000000000000000000000..5a76a4dfa75300b93722db679d2887c6338459ed
--- /dev/null
+++ b/training_eval/pretrain_finnish/events.out.tfevents.1649519646.t1v-n-304587cf-w-0.2118590.1.v2
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:95ec42beb165b96f5cd8dd9cc35419846990d32eda42d0730ba29b27ddd5192c
+size 40