The full dataset viewer is not available (click to read why). Only showing a preview of the rows.
Error code: DatasetGenerationError
Exception: ArrowNotImplementedError
Message: Cannot write struct type 'stops' with no child field to Parquet. Consider adding a dummy child field.
Traceback: Traceback (most recent call last):
File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1531, in _prepare_split_single
for key, record in generator:
^^^^^^^^^
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 613, in wrapped
for item in generator(*args, **kwargs):
~~~~~~~~~^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/webdataset/webdataset.py", line 127, in _generate_examples
for example_idx, example in enumerate(self._get_pipeline_from_tar(tar_path, tar_iterator)):
~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/webdataset/webdataset.py", line 32, in _get_pipeline_from_tar
for filename, f in tar_iterator:
^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/utils/track.py", line 49, in __iter__
for x in self.generator(*self.args):
~~~~~~~~~~~~~~^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/utils/file_utils.py", line 1400, in _iter_from_urlpath
with xopen(urlpath, "rb", download_config=download_config, block_size=0) as f:
~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/utils/file_utils.py", line 977, in xopen
file_obj = fs.open(paths[0], mode)
File "<string>", line 3, in open
File "/usr/local/lib/python3.14/unittest/mock.py", line 1176, in __call__
return self._mock_call(*args, **kwargs)
~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/unittest/mock.py", line 1180, in _mock_call
return self._execute_mock_call(*args, **kwargs)
~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/unittest/mock.py", line 1247, in _execute_mock_call
result = effect(*args, **kwargs)
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 786, in wrapped
tracker.files[urlpath] = {"read": 0, "size": int(f.size)}
~~~^^^^^^^^
TypeError: int() argument must be a string, a bytes-like object or a real number, not 'NoneType'
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1562, in _prepare_split_single
num_examples, num_bytes = writer.finalize()
~~~~~~~~~~~~~~~^^
File "/usr/local/lib/python3.14/site-packages/datasets/arrow_writer.py", line 808, in finalize
self._build_writer(self.schema)
~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/arrow_writer.py", line 834, in _build_writer
self.pa_writer = pq.ParquetWriter(
~~~~~~~~~~~~~~~~^
self.stream,
^^^^^^^^^^^^
...<9 lines>...
},
^^
)
^
File "/usr/local/lib/python3.14/site-packages/pyarrow/parquet/core.py", line 1115, in __init__
self.writer = _parquet.ParquetWriter(
~~~~~~~~~~~~~~~~~~~~~~^
sink, schema,
^^^^^^^^^^^^^
...<20 lines>...
max_rows_per_page=max_rows_per_page,
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
**options)
^^^^^^^^^^
File "pyarrow/_parquet.pyx", line 2430, in pyarrow._parquet.ParquetWriter.__cinit__
File "pyarrow/error.pxi", line 155, in pyarrow.lib.pyarrow_internal_check_status
File "pyarrow/error.pxi", line 92, in pyarrow.lib.check_status
raise convert_status(status)
pyarrow.lib.ArrowNotImplementedError: Cannot write struct type 'stops' with no child field to Parquet. Consider adding a dummy child field.
The above exception was the direct cause of the following exception:
Traceback (most recent call last):
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1369, in compute_config_parquet_and_info_response
parquet_operations, partial, estimated_dataset_info = stream_convert_to_parquet(
~~~~~~~~~~~~~~~~~~~~~~~~~^
builder, max_dataset_size_bytes=max_dataset_size_bytes
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
)
^
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 948, in stream_convert_to_parquet
builder._prepare_split(split_generator=splits_generators[split], file_format="parquet")
~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1393, in _prepare_split
for job_id, done, content in self._prepare_split_single(
~~~~~~~~~~~~~~~~~~~~~~~~~~^
gen_kwargs=gen_kwargs, job_id=job_id, **_prepare_split_args
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
):
^
File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1571, in _prepare_split_single
raise DatasetGenerationError("An error occurred while generating the dataset") from e
datasets.exceptions.DatasetGenerationError: An error occurred while generating the datasetNeed help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
json dict | __key__ string | __url__ string |
|---|---|---|
{
"model_key": "qwen-1p5b",
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"optimizer_step": 1000,
"rank": 0,
"stage": "train",
"policy_reference": "Original base checkpoint at RL step 0",
"training_arm": "base-grpo",
"initial_model": "Qwen/Qwen2.5-1.5B",
"initial_revision": "8faed761d45a263340a0528343f099c05c9... | runs/base-grpo/qwen-1p5b/train-qwen-1p5b-2148255/completed | hf://datasets/zbeeb/openr1-token-level-training-logs-20261007@9771505e277cb558abe7eb3cfafbd943b89ec043/archives/base-grpo--train-qwen-1p5b-2148255.tar.zst |
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"zero_gradient_upd... | runs/base-grpo/qwen-1p5b/train-qwen-1p5b-2148255/configs/resolved/envs/eval/aime24-pass1 | hf://datasets/zbeeb/openr1-token-level-training-logs-20261007@9771505e277cb558abe7eb3cfafbd943b89ec043/archives/base-grpo--train-qwen-1p5b-2148255.tar.zst |
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"zero_gradient_upd... | runs/base-grpo/qwen-1p5b/train-qwen-1p5b-2148255/configs/resolved/envs/eval/aime25-pass1 | hf://datasets/zbeeb/openr1-token-level-training-logs-20261007@9771505e277cb558abe7eb3cfafbd943b89ec043/archives/base-grpo--train-qwen-1p5b-2148255.tar.zst |
{
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"zero_gradient_upd... | runs/base-grpo/qwen-1p5b/train-qwen-1p5b-2148255/configs/resolved/envs/eval/aime25-sampled | hf://datasets/zbeeb/openr1-token-level-training-logs-20261007@9771505e277cb558abe7eb3cfafbd943b89ec043/archives/base-grpo--train-qwen-1p5b-2148255.tar.zst |
{
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"zero_gradient_upd... | runs/base-grpo/qwen-1p5b/train-qwen-1p5b-2148255/configs/resolved/envs/eval/aime26-pass1 | hf://datasets/zbeeb/openr1-token-level-training-logs-20261007@9771505e277cb558abe7eb3cfafbd943b89ec043/archives/base-grpo--train-qwen-1p5b-2148255.tar.zst |
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"zero_gradient_upd... | runs/base-grpo/qwen-1p5b/train-qwen-1p5b-2148255/configs/resolved/envs/eval/aime26-sampled | hf://datasets/zbeeb/openr1-token-level-training-logs-20261007@9771505e277cb558abe7eb3cfafbd943b89ec043/archives/base-grpo--train-qwen-1p5b-2148255.tar.zst |
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"zero_gradient_upd... | runs/base-grpo/qwen-1p5b/train-qwen-1p5b-2148255/configs/resolved/envs/eval/amc23-pass1 | hf://datasets/zbeeb/openr1-token-level-training-logs-20261007@9771505e277cb558abe7eb3cfafbd943b89ec043/archives/base-grpo--train-qwen-1p5b-2148255.tar.zst |
{
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"zero_gradient_upd... | runs/base-grpo/qwen-1p5b/train-qwen-1p5b-2148255/configs/resolved/envs/eval/dapo-train-probe | hf://datasets/zbeeb/openr1-token-level-training-logs-20261007@9771505e277cb558abe7eb3cfafbd943b89ec043/archives/base-grpo--train-qwen-1p5b-2148255.tar.zst |
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"zero_gradient_upd... | runs/base-grpo/qwen-1p5b/train-qwen-1p5b-2148255/configs/resolved/envs/eval/math500-pass1 | hf://datasets/zbeeb/openr1-token-level-training-logs-20261007@9771505e277cb558abe7eb3cfafbd943b89ec043/archives/base-grpo--train-qwen-1p5b-2148255.tar.zst |
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"zero_gradient_upd... | runs/base-grpo/qwen-1p5b/train-qwen-1p5b-2148255/configs/resolved/envs/eval/minerva_math-pass1 | hf://datasets/zbeeb/openr1-token-level-training-logs-20261007@9771505e277cb558abe7eb3cfafbd943b89ec043/archives/base-grpo--train-qwen-1p5b-2148255.tar.zst |
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"zero_gradient_upd... | runs/base-grpo/qwen-1p5b/train-qwen-1p5b-2148255/configs/resolved/envs/eval/olympiadbench-pass1 | hf://datasets/zbeeb/openr1-token-level-training-logs-20261007@9771505e277cb558abe7eb3cfafbd943b89ec043/archives/base-grpo--train-qwen-1p5b-2148255.tar.zst |
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"zero_gradient_upd... | runs/base-grpo/qwen-1p5b/train-qwen-1p5b-2148255/configs/resolved/envs/train/dapo-math | hf://datasets/zbeeb/openr1-token-level-training-logs-20261007@9771505e277cb558abe7eb3cfafbd943b89ec043/archives/base-grpo--train-qwen-1p5b-2148255.tar.zst |
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"zero_gradient_upd... | runs/base-grpo/qwen-1p5b/train-qwen-1p5b-2148255/configs/resolved/inference | hf://datasets/zbeeb/openr1-token-level-training-logs-20261007@9771505e277cb558abe7eb3cfafbd943b89ec043/archives/base-grpo--train-qwen-1p5b-2148255.tar.zst |
{
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"zero_gradient_upd... | runs/base-grpo/qwen-1p5b/train-qwen-1p5b-2148255/configs/resolved/orchestrator | hf://datasets/zbeeb/openr1-token-level-training-logs-20261007@9771505e277cb558abe7eb3cfafbd943b89ec043/archives/base-grpo--train-qwen-1p5b-2148255.tar.zst |
{
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"zero_gradient_upd... | runs/base-grpo/qwen-1p5b/train-qwen-1p5b-2148255/configs/resolved/trainer | hf://datasets/zbeeb/openr1-token-level-training-logs-20261007@9771505e277cb558abe7eb3cfafbd943b89ec043/archives/base-grpo--train-qwen-1p5b-2148255.tar.zst |
null | runs/base-grpo/qwen-1p5b/train-qwen-1p5b-2148255/fixed_probes/eval_summary | hf://datasets/zbeeb/openr1-token-level-training-logs-20261007@9771505e277cb558abe7eb3cfafbd943b89ec043/archives/base-grpo--train-qwen-1p5b-2148255.tar.zst |
null | runs/base-grpo/qwen-1p5b/train-qwen-1p5b-2148255/fixed_probes/evaluation-progress-rank-0 | hf://datasets/zbeeb/openr1-token-level-training-logs-20261007@9771505e277cb558abe7eb3cfafbd943b89ec043/archives/base-grpo--train-qwen-1p5b-2148255.tar.zst |
null | runs/base-grpo/qwen-1p5b/train-qwen-1p5b-2148255/fixed_probes/evaluation-progress-rank-1 | hf://datasets/zbeeb/openr1-token-level-training-logs-20261007@9771505e277cb558abe7eb3cfafbd943b89ec043/archives/base-grpo--train-qwen-1p5b-2148255.tar.zst |
null | runs/base-grpo/qwen-1p5b/train-qwen-1p5b-2148255/fixed_probes/evaluation-progress-rank-2 | hf://datasets/zbeeb/openr1-token-level-training-logs-20261007@9771505e277cb558abe7eb3cfafbd943b89ec043/archives/base-grpo--train-qwen-1p5b-2148255.tar.zst |
null | runs/base-grpo/qwen-1p5b/train-qwen-1p5b-2148255/fixed_probes/evaluation-progress-rank-3 | hf://datasets/zbeeb/openr1-token-level-training-logs-20261007@9771505e277cb558abe7eb3cfafbd943b89ec043/archives/base-grpo--train-qwen-1p5b-2148255.tar.zst |
null | runs/base-grpo/qwen-1p5b/train-qwen-1p5b-2148255/fixed_probes/generations/step-000000-rank-0 | hf://datasets/zbeeb/openr1-token-level-training-logs-20261007@9771505e277cb558abe7eb3cfafbd943b89ec043/archives/base-grpo--train-qwen-1p5b-2148255.tar.zst |
null | runs/base-grpo/qwen-1p5b/train-qwen-1p5b-2148255/fixed_probes/generations/step-000000-rank-1 | hf://datasets/zbeeb/openr1-token-level-training-logs-20261007@9771505e277cb558abe7eb3cfafbd943b89ec043/archives/base-grpo--train-qwen-1p5b-2148255.tar.zst |
null | runs/base-grpo/qwen-1p5b/train-qwen-1p5b-2148255/fixed_probes/generations/step-000000-rank-2 | hf://datasets/zbeeb/openr1-token-level-training-logs-20261007@9771505e277cb558abe7eb3cfafbd943b89ec043/archives/base-grpo--train-qwen-1p5b-2148255.tar.zst |
null | runs/base-grpo/qwen-1p5b/train-qwen-1p5b-2148255/fixed_probes/generations/step-000000-rank-3 | hf://datasets/zbeeb/openr1-token-level-training-logs-20261007@9771505e277cb558abe7eb3cfafbd943b89ec043/archives/base-grpo--train-qwen-1p5b-2148255.tar.zst |
null | runs/base-grpo/qwen-1p5b/train-qwen-1p5b-2148255/fixed_probes/generations/step-000100-rank-0 | hf://datasets/zbeeb/openr1-token-level-training-logs-20261007@9771505e277cb558abe7eb3cfafbd943b89ec043/archives/base-grpo--train-qwen-1p5b-2148255.tar.zst |
null | runs/base-grpo/qwen-1p5b/train-qwen-1p5b-2148255/fixed_probes/generations/step-000100-rank-1 | hf://datasets/zbeeb/openr1-token-level-training-logs-20261007@9771505e277cb558abe7eb3cfafbd943b89ec043/archives/base-grpo--train-qwen-1p5b-2148255.tar.zst |
null | runs/base-grpo/qwen-1p5b/train-qwen-1p5b-2148255/fixed_probes/generations/step-000100-rank-2 | hf://datasets/zbeeb/openr1-token-level-training-logs-20261007@9771505e277cb558abe7eb3cfafbd943b89ec043/archives/base-grpo--train-qwen-1p5b-2148255.tar.zst |
null | runs/base-grpo/qwen-1p5b/train-qwen-1p5b-2148255/fixed_probes/generations/step-000100-rank-3 | hf://datasets/zbeeb/openr1-token-level-training-logs-20261007@9771505e277cb558abe7eb3cfafbd943b89ec043/archives/base-grpo--train-qwen-1p5b-2148255.tar.zst |
null | runs/base-grpo/qwen-1p5b/train-qwen-1p5b-2148255/fixed_probes/generations/step-000200-rank-0 | hf://datasets/zbeeb/openr1-token-level-training-logs-20261007@9771505e277cb558abe7eb3cfafbd943b89ec043/archives/base-grpo--train-qwen-1p5b-2148255.tar.zst |
null | runs/base-grpo/qwen-1p5b/train-qwen-1p5b-2148255/fixed_probes/generations/step-000200-rank-1 | hf://datasets/zbeeb/openr1-token-level-training-logs-20261007@9771505e277cb558abe7eb3cfafbd943b89ec043/archives/base-grpo--train-qwen-1p5b-2148255.tar.zst |
null | runs/base-grpo/qwen-1p5b/train-qwen-1p5b-2148255/fixed_probes/generations/step-000200-rank-2 | hf://datasets/zbeeb/openr1-token-level-training-logs-20261007@9771505e277cb558abe7eb3cfafbd943b89ec043/archives/base-grpo--train-qwen-1p5b-2148255.tar.zst |
null | runs/base-grpo/qwen-1p5b/train-qwen-1p5b-2148255/fixed_probes/generations/step-000200-rank-3 | hf://datasets/zbeeb/openr1-token-level-training-logs-20261007@9771505e277cb558abe7eb3cfafbd943b89ec043/archives/base-grpo--train-qwen-1p5b-2148255.tar.zst |
null | runs/base-grpo/qwen-1p5b/train-qwen-1p5b-2148255/fixed_probes/generations/step-000300-rank-0 | hf://datasets/zbeeb/openr1-token-level-training-logs-20261007@9771505e277cb558abe7eb3cfafbd943b89ec043/archives/base-grpo--train-qwen-1p5b-2148255.tar.zst |
null | runs/base-grpo/qwen-1p5b/train-qwen-1p5b-2148255/fixed_probes/generations/step-000300-rank-1 | hf://datasets/zbeeb/openr1-token-level-training-logs-20261007@9771505e277cb558abe7eb3cfafbd943b89ec043/archives/base-grpo--train-qwen-1p5b-2148255.tar.zst |
null | runs/base-grpo/qwen-1p5b/train-qwen-1p5b-2148255/fixed_probes/generations/step-000300-rank-2 | hf://datasets/zbeeb/openr1-token-level-training-logs-20261007@9771505e277cb558abe7eb3cfafbd943b89ec043/archives/base-grpo--train-qwen-1p5b-2148255.tar.zst |
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null | runs/base-grpo/qwen-1p5b/train-qwen-1p5b-2148255/fixed_probes/token_metrics/step-000100-train-free_generation-rank-3 | hf://datasets/zbeeb/openr1-token-level-training-logs-20261007@9771505e277cb558abe7eb3cfafbd943b89ec043/archives/base-grpo--train-qwen-1p5b-2148255.tar.zst |
null | runs/base-grpo/qwen-1p5b/train-qwen-1p5b-2148255/fixed_probes/token_metrics/step-000100-train-teacher_forced-rank-0 | hf://datasets/zbeeb/openr1-token-level-training-logs-20261007@9771505e277cb558abe7eb3cfafbd943b89ec043/archives/base-grpo--train-qwen-1p5b-2148255.tar.zst |
null | runs/base-grpo/qwen-1p5b/train-qwen-1p5b-2148255/fixed_probes/token_metrics/step-000100-train-teacher_forced-rank-1 | hf://datasets/zbeeb/openr1-token-level-training-logs-20261007@9771505e277cb558abe7eb3cfafbd943b89ec043/archives/base-grpo--train-qwen-1p5b-2148255.tar.zst |
null | runs/base-grpo/qwen-1p5b/train-qwen-1p5b-2148255/fixed_probes/token_metrics/step-000100-train-teacher_forced-rank-2 | hf://datasets/zbeeb/openr1-token-level-training-logs-20261007@9771505e277cb558abe7eb3cfafbd943b89ec043/archives/base-grpo--train-qwen-1p5b-2148255.tar.zst |
OpenR1 SFT and GRPO training logs
Publication is complete: all nine completed runs are preserved and verified. This backup contains 45,803 source files (144.44 GB), compressed into 114.02 GB of archives. Sizes use decimal GB.
This is the OpenR1 token-level study, separate from the OPD study. The backup covers four completed SFT runs, three completed SFT-to-GRPO runs, and two completed base-to-GRPO runs. Each GRPO run finished 1,000 updates.
| Arm | Model | Run | Source files | Archive GB |
|---|---|---|---|---|
| sft | qwen-1p5b | sft-qwen-1p5b-2147962 | 1090 | 2.16 |
| sft | qwen-math-1p5b | sft-qwen-math-1p5b-2147963 | 1095 | 2.23 |
| sft | qwen-3b | sft-qwen-3b-2147985 | 1019 | 2.06 |
| sft | qwen-instruct-3b | sft-qwen-instruct-3b-2147964 | 1089 | 2.04 |
| sft-grpo | qwen-math-1p5b | train-qwen-math-1p5b-2148096 | 8302 | 28.92 |
| sft-grpo | qwen-3b | train-qwen-3b-2148097 | 8302 | 26.86 |
| sft-grpo | qwen-1p5b | train-qwen-1p5b-2148098 | 8302 | 28.20 |
| base-grpo | qwen-math-1p5b | train-qwen-math-1p5b-2148254 | 8302 | 10.64 |
| base-grpo | qwen-1p5b | train-qwen-1p5b-2148255 | 8302 | 10.91 |
The archives preserve token exports, raw rollout traces, fixed-probe evaluations and generations, native metrics, per-rank training metrics, resolved configurations, system logs, and existing plots and their source inputs. Final model weights are published separately in the study collection.
Token records include top-20 probabilities and logits, full-distribution entropy, selected-token probabilities, and RL loss diagnostics. SFT per-token measurements come from fixed probes. GRPO includes token exports for every training update. Full-vocabulary logit arrays were not stored.
Every archive contains a MANIFEST.json with the size and SHA-256 checksum of each archived source file. Every member was decompressed and checked before publication. Archive sizes and SHA-256 hashes were also checked independently on the second cluster filesystem and against the public Hugging Face LFS metadata. Credential-pattern scans passed before publication.
The manifests/ directory contains the per-file inventories and verification receipts. The metadata/ directory contains the archive checksums, source-run inventory, completion records, and the backup implementation. Failed and incomplete runs are excluded. Model weights, temporary weight broadcasts, intermediate checkpoints, and symlinks are excluded.
After downloading the repository, verify its archives with:
cd archives
shasum -a 256 -c ../metadata/SHA256SUMS
Inspect a chosen archive with:
zstd -d ARCHIVE.tar.zst
tar -tf ARCHIVE.tar
tar -xf ARCHIVE.tar
This repository is a raw research backup, not a new training dataset. Published source dataset and model terms continue to apply.
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