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{"basename": "shard.00026.mds", "bytes": 4616461, "hashes": {}}, "samples": 75, "size_limit": 67108864, "version": 2, "zip_data": {"basename": "shard.00026.mds.zstd", "bytes": 1308098, "hashes": {}}}], "version": 2} \ No newline at end of file diff --git a/arxiv/0-1/tokenize_output.log b/arxiv/0-1/tokenize_output.log new file mode 100644 index 0000000000000000000000000000000000000000..e699de8d01437d3092cff2f4bae982491d4d9966 --- /dev/null +++ b/arxiv/0-1/tokenize_output.log @@ -0,0 +1,88 @@ +Because `predownload` was not specified, it will default to 8*batch_size if batch_size is not None, otherwise 64. Prior to Streaming v0.7.0, `predownload` defaulted to max(batch_size, 256 * batch_size // num_canonical_nodes). +Special tokens have been added in the vocabulary, make sure the associated word embeddings are fine-tuned or trained. +Using local dataset /home/oweller/bert24-data/data/ProLong_text/arxiv/0-1... +Using tokenizer model bclavie/olmo_bert_template... +Using 1 processes for tokenization, with 1000 items per process. + Processing samples: 0%| | 0/30251 [00:00 + sample_dataset_from_config(args) + File "/home/oweller/bert24-data/src/bert24_data/tokenization/tokenize_mds.py", line 63, in sample_dataset_from_config + with MDSWriter(out=output_dir, columns=MDS_COLS_PRE_TOKENIZED, compression='zstd') as mds_writer: + File "/home/oweller/miniconda3/envs/bert24/lib/python3.10/site-packages/streaming/base/format/base/writer.py", line 354, in __exit__ + self.finish() + File "/home/oweller/miniconda3/envs/bert24/lib/python3.10/site-packages/streaming/base/format/base/writer.py", line 298, in finish + self.flush_shard() + File "/home/oweller/miniconda3/envs/bert24/lib/python3.10/site-packages/streaming/base/format/base/writer.py", line 429, in flush_shard + raw_data_info, zip_data_info = self._process_file(raw_data, raw_data_basename, + File "/home/oweller/miniconda3/envs/bert24/lib/python3.10/site-packages/streaming/base/format/base/writer.py", line 212, in _process_file + zip_data = compress(self.compression, raw_data) + File "/home/oweller/miniconda3/envs/bert24/lib/python3.10/site-packages/streaming/base/compression.py", line 240, in compress + return obj.compress(data) + File "/home/oweller/miniconda3/envs/bert24/lib/python3.10/site-packages/streaming/base/compression.py", line 153, in compress + return zstd.compress(data, self.level) +KeyboardInterrupt +Exception ignored in atexit callback: +Traceback (most recent call last): + File "/home/oweller/miniconda3/envs/bert24/lib/python3.10/site-packages/torch/_dynamo/utils.py", line 320, in dump_compile_times + log.info(compile_times(repr="str", aggregate=True)) + File "/home/oweller/miniconda3/envs/bert24/lib/python3.10/site-packages/torch/_dynamo/utils.py", line 307, in compile_times + out += tabulate(rows, headers=("Function", "Runtimes (s)")) + File "/home/oweller/miniconda3/envs/bert24/lib/python3.10/site-packages/torch/_dynamo/utils.py", line 121, in tabulate + import tabulate + File "", line 1027, in _find_and_load + File "", line 1006, in _find_and_load_unlocked + File "", line 688, in _load_unlocked + File "", line 879, in exec_module + File "", line 1012, in get_code + File "", line 672, in _compile_bytecode +KeyboardInterrupt: +Exception ignored in atexit callback: +Traceback (most recent call last): + File "/home/oweller/miniconda3/envs/bert24/lib/python3.10/multiprocessing/util.py", line 357, in _exit_function + p.join() + File "/home/oweller/miniconda3/envs/bert24/lib/python3.10/multiprocessing/process.py", line 149, in join + res = self._popen.wait(timeout) + File "/home/oweller/miniconda3/envs/bert24/lib/python3.10/multiprocessing/popen_fork.py", line 43, in wait + return self.poll(os.WNOHANG if timeout == 0.0 else 0) + File "/home/oweller/miniconda3/envs/bert24/lib/python3.10/multiprocessing/popen_fork.py", line 27, in poll + pid, sts = os.waitpid(self.pid, flag) +KeyboardInterrupt: + Processing samples: 43%|████▎ | 13000/30251 [17:52<23:43, 12.12it/s] diff --git a/arxiv/0-4/index.json b/arxiv/0-4/index.json new file mode 100644 index 0000000000000000000000000000000000000000..ba2ea33446debec9eaed806e84bb5428ee04d5bd --- /dev/null +++ b/arxiv/0-4/index.json @@ -0,0 +1 @@ +{"shards": [{"column_encodings": ["str", "str"], "column_names": ["domain", "text"], "column_sizes": [null, null], "compression": "zstd", "format": "mds", "hashes": [], "raw_data": {"basename": "shard.00000.mds", "bytes": 67094246, "hashes": {}}, "samples": 1129, "size_limit": 67108864, "version": 2, "zip_data": {"basename": "shard.00000.mds.zstd", "bytes": 18730613, "hashes": {}}}, {"column_encodings": ["str", "str"], "column_names": ["domain", "text"], "column_sizes": [null, null], "compression": "zstd", "format": "mds", "hashes": [], "raw_data": {"basename": "shard.00001.mds", "bytes": 67079189, "hashes": {}}, "samples": 1196, "size_limit": 67108864, "version": 2, "zip_data": {"basename": "shard.00001.mds.zstd", "bytes": 19275571, "hashes": {}}}, {"column_encodings": ["str", "str"], "column_names": ["domain", "text"], "column_sizes": [null, null], "compression": "zstd", "format": "mds", "hashes": [], "raw_data": {"basename": "shard.00002.mds", "bytes": 67075122, "hashes": {}}, "samples": 1158, "size_limit": 67108864, "version": 2, "zip_data": {"basename": "shard.00002.mds.zstd", "bytes": 19072165, "hashes": {}}}, {"column_encodings": ["str", "str"], "column_names": ["domain", "text"], "column_sizes": [null, null], "compression": "zstd", "format": "mds", "hashes": [], "raw_data": {"basename": "shard.00003.mds", "bytes": 66015645, "hashes": {}}, "samples": 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"zstd", "format": "mds", "hashes": [], "raw_data": {"basename": "shard.00014.mds", "bytes": 67105857, "hashes": {}}, "samples": 1185, "size_limit": 67108864, "version": 2, "zip_data": {"basename": "shard.00014.mds.zstd", "bytes": 19056899, "hashes": {}}}, {"column_encodings": ["str", "str"], "column_names": ["domain", "text"], "column_sizes": [null, null], "compression": "zstd", "format": "mds", "hashes": [], "raw_data": {"basename": "shard.00015.mds", "bytes": 67099794, "hashes": {}}, "samples": 1182, "size_limit": 67108864, "version": 2, "zip_data": {"basename": "shard.00015.mds.zstd", "bytes": 19128070, "hashes": {}}}, {"column_encodings": ["str", "str"], "column_names": ["domain", "text"], "column_sizes": [null, null], "compression": "zstd", "format": "mds", "hashes": [], "raw_data": {"basename": "shard.00016.mds", "bytes": 67066788, "hashes": {}}, "samples": 1117, "size_limit": 67108864, "version": 2, "zip_data": {"basename": "shard.00016.mds.zstd", "bytes": 19156785, "hashes": 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"zstd", "format": "mds", "hashes": [], "raw_data": {"basename": "shard.00022.mds", "bytes": 67085600, "hashes": {}}, "samples": 1102, "size_limit": 67108864, "version": 2, "zip_data": {"basename": "shard.00022.mds.zstd", "bytes": 18678142, "hashes": {}}}, {"column_encodings": ["str", "str"], "column_names": ["domain", "text"], "column_sizes": [null, null], "compression": "zstd", "format": "mds", "hashes": [], "raw_data": {"basename": "shard.00023.mds", "bytes": 67106014, "hashes": {}}, "samples": 1232, "size_limit": 67108864, "version": 2, "zip_data": {"basename": "shard.00023.mds.zstd", "bytes": 19409077, "hashes": {}}}, {"column_encodings": ["str", "str"], "column_names": ["domain", "text"], "column_sizes": [null, null], "compression": "zstd", "format": "mds", "hashes": [], "raw_data": {"basename": "shard.00024.mds", "bytes": 67108287, "hashes": {}}, "samples": 1193, "size_limit": 67108864, "version": 2, "zip_data": {"basename": "shard.00024.mds.zstd", "bytes": 19355195, "hashes": {}}}, {"column_encodings": ["str", "str"], "column_names": ["domain", "text"], "column_sizes": [null, null], "compression": "zstd", "format": "mds", "hashes": [], "raw_data": {"basename": "shard.00025.mds", "bytes": 67070301, "hashes": {}}, "samples": 1165, "size_limit": 67108864, "version": 2, "zip_data": {"basename": "shard.00025.mds.zstd", "bytes": 19256393, "hashes": {}}}, {"column_encodings": ["str", "str"], "column_names": ["domain", "text"], "column_sizes": [null, null], "compression": "zstd", "format": "mds", "hashes": [], "raw_data": {"basename": "shard.00026.mds", "bytes": 23210535, "hashes": {}}, "samples": 414, "size_limit": 67108864, "version": 2, "zip_data": {"basename": "shard.00026.mds.zstd", "bytes": 6634425, "hashes": {}}}], "version": 2} \ No newline at end of file diff --git a/arxiv/0-4/tokenize_output.log b/arxiv/0-4/tokenize_output.log new file mode 100644 index 0000000000000000000000000000000000000000..78d6fb577fa8a347072d746fe61515a867f5de3b --- /dev/null +++ b/arxiv/0-4/tokenize_output.log @@ -0,0 +1,16 @@ +Because `predownload` was not specified, it will default to 8*batch_size if batch_size is not None, otherwise 64. Prior to Streaming v0.7.0, `predownload` defaulted to max(batch_size, 256 * batch_size // num_canonical_nodes). +Using local dataset /home/oweller/bert24-data/data/ProLong_text/arxiv/0-4... +Traceback (most recent call last): + File "/home/oweller/bert24-data/src/bert24_data/tokenization/tokenize_mds.py", line 108, in + sample_dataset_from_config(args) + File "/home/oweller/bert24-data/src/bert24_data/tokenization/tokenize_mds.py", line 46, in sample_dataset_from_config + dataset = StreamingDataset(local=args.dataset, shuffle=False, split=None, batch_size=1, keep_zip=False) + File "/home/oweller/miniconda3/envs/bert24/lib/python3.10/site-packages/streaming/base/dataset.py", line 526, in __init__ + self._shm_prefix_int, self._locals_shm = get_shm_prefix(streams_local, streams_remote, + File "/home/oweller/miniconda3/envs/bert24/lib/python3.10/site-packages/streaming/base/shared/prefix.py", line 192, in get_shm_prefix + shm = SharedMemory(name, True, len(data)) + File "/home/oweller/miniconda3/envs/bert24/lib/python3.10/site-packages/streaming/base/shared/memory.py", line 41, in __init__ + shm = BuiltinSharedMemory(name, create, size) + File "/home/oweller/miniconda3/envs/bert24/lib/python3.10/multiprocessing/shared_memory.py", line 104, in __init__ + self._fd = _posixshmem.shm_open( +FileExistsError: [Errno 17] File exists: '/000042_locals' diff --git a/arxiv/0-5/shard.00000.mds.zstd b/arxiv/0-5/shard.00000.mds.zstd new file mode 100644 index 0000000000000000000000000000000000000000..7f6ddcd4b73b94a24b5f0c33e3a5e7a313731d27 --- /dev/null +++ b/arxiv/0-5/shard.00000.mds.zstd @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:445313e4a5d913ce707d0849cbbde0c660ab64993e9f4577f280fe4ab80cdc3d +size 19122586 diff --git a/arxiv/0-5/shard.00001.mds.zstd b/arxiv/0-5/shard.00001.mds.zstd new file mode 100644 index 0000000000000000000000000000000000000000..94a40e54e5f8cec4b8892ada0365f137567a9f0f --- /dev/null +++ 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b/arxiv/0-5/shard.00003.mds.zstd new file mode 100644 index 0000000000000000000000000000000000000000..7d859b1a0b5f2e7f37f8b6e67f8dee82487b544d --- /dev/null +++ b/arxiv/0-5/shard.00003.mds.zstd @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:bf1f6acf4d056f2a1e79268a5bdee21f4755509a1f0368431dfaeb06b2ce3e0d +size 19048025 diff --git a/arxiv/0-5/shard.00004.mds.zstd b/arxiv/0-5/shard.00004.mds.zstd new file mode 100644 index 0000000000000000000000000000000000000000..c9b2bcc3e66131328244f479af412a70338c9eec --- /dev/null +++ b/arxiv/0-5/shard.00004.mds.zstd @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:4237082a5f85555239a21be527221289ae32badb55248d6388add7323b227049 +size 19242830 diff --git a/arxiv/0-5/shard.00005.mds.zstd b/arxiv/0-5/shard.00005.mds.zstd new file mode 100644 index 0000000000000000000000000000000000000000..0c4c06de0e240de61279b9dcfa6edf77015cc88d --- /dev/null +++ b/arxiv/0-5/shard.00005.mds.zstd @@ -0,0 +1,3 @@ +version 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Prior to Streaming v0.7.0, `predownload` defaulted to max(batch_size, 256 * batch_size // num_canonical_nodes). +Special tokens have been added in the vocabulary, make sure the associated word embeddings are fine-tuned or trained. +Using local dataset /home/oweller/bert24-data/data/ProLong_text/arxiv/1-2... +Using tokenizer model bclavie/olmo_bert_template... +Using 1 processes for tokenization, with 1000 items per process. + Processing samples: 0%| | 0/30895 [00:00 + sample_dataset_from_config(args) + File "/home/oweller/bert24-data/src/bert24_data/tokenization/tokenize_mds.py", line 64, in sample_dataset_from_config + with mp.Pool(num_processes) as pool: + File "/home/oweller/miniconda3/envs/bert24/lib/python3.10/multiprocessing/pool.py", line 739, in __exit__ + self.terminate() + File "/home/oweller/miniconda3/envs/bert24/lib/python3.10/multiprocessing/pool.py", line 657, in terminate + self._terminate() + File "/home/oweller/miniconda3/envs/bert24/lib/python3.10/multiprocessing/util.py", line 224, in __call__ + res = self._callback(*self._args, **self._kwargs) + File "/home/oweller/miniconda3/envs/bert24/lib/python3.10/multiprocessing/pool.py", line 732, in _terminate_pool + p.join() + File "/home/oweller/miniconda3/envs/bert24/lib/python3.10/multiprocessing/process.py", line 149, in join + res = self._popen.wait(timeout) + File "/home/oweller/miniconda3/envs/bert24/lib/python3.10/multiprocessing/popen_fork.py", line 43, in wait + return self.poll(os.WNOHANG if timeout == 0.0 else 0) + File "/home/oweller/miniconda3/envs/bert24/lib/python3.10/multiprocessing/popen_fork.py", line 27, in poll + pid, sts = os.waitpid(self.pid, flag) +KeyboardInterrupt +Exception ignored in atexit callback: +Traceback (most recent call last): + File "/home/oweller/miniconda3/envs/bert24/lib/python3.10/site-packages/torch/_dynamo/utils.py", line 320, in dump_compile_times + log.info(compile_times(repr="str", aggregate=True)) + File "/home/oweller/miniconda3/envs/bert24/lib/python3.10/site-packages/torch/_dynamo/utils.py", line 307, in compile_times + out += tabulate(rows, headers=("Function", "Runtimes (s)")) + File "/home/oweller/miniconda3/envs/bert24/lib/python3.10/site-packages/torch/_dynamo/utils.py", line 121, in tabulate + import tabulate + File "", line 1027, in _find_and_load + File "", line 1002, in _find_and_load_unlocked + File "", line 945, in _find_spec + File "", line 1439, in find_spec + File "", line 1411, in _get_spec + File "", line 1558, in find_spec +KeyboardInterrupt: +Exception ignored in atexit callback: +Traceback (most recent call last): + File "/home/oweller/miniconda3/envs/bert24/lib/python3.10/multiprocessing/util.py", line 357, in _exit_function + p.join() + File "/home/oweller/miniconda3/envs/bert24/lib/python3.10/multiprocessing/process.py", line 149, in join + res = self._popen.wait(timeout) + File "/home/oweller/miniconda3/envs/bert24/lib/python3.10/multiprocessing/popen_fork.py", line 43, in wait + return self.poll(os.WNOHANG if timeout == 0.0 else 0) + File "/home/oweller/miniconda3/envs/bert24/lib/python3.10/multiprocessing/popen_fork.py", line 27, in poll + pid, sts = os.waitpid(self.pid, flag) +KeyboardInterrupt: diff --git a/arxiv/1-3-tokenized/shard.00000.mds.zstd b/arxiv/1-3-tokenized/shard.00000.mds.zstd new file mode 100644 index 0000000000000000000000000000000000000000..114c1797472a8dfd34bd612169b209978aacc711 --- /dev/null +++ b/arxiv/1-3-tokenized/shard.00000.mds.zstd @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:0f0ce7c5e77710ad621a2798360fe4f11df4bec09439d88e0254582bde216c57 +size 29625753 diff --git a/arxiv/1-3-tokenized/shard.00001.mds.zstd b/arxiv/1-3-tokenized/shard.00001.mds.zstd new file mode 100644 index 0000000000000000000000000000000000000000..0b2b0270f90790bd4f149f56fd58c49584f8d437 --- /dev/null +++ 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[null, null], "compression": "zstd", "format": "mds", "hashes": [], "raw_data": {"basename": "shard.00026.mds", "bytes": 10925996, "hashes": {}}, "samples": 198, "size_limit": 67108864, "version": 2, "zip_data": {"basename": "shard.00026.mds.zstd", "bytes": 3112062, "hashes": {}}}], "version": 2} \ No newline at end of file diff --git a/arxiv/2-2/tokenize_output.log b/arxiv/2-2/tokenize_output.log new file mode 100644 index 0000000000000000000000000000000000000000..ec526ee1bb60516e08c8528b28f1b0c3d8182830 --- /dev/null +++ b/arxiv/2-2/tokenize_output.log @@ -0,0 +1,58 @@ +Because `predownload` was not specified, it will default to 8*batch_size if batch_size is not None, otherwise 64. Prior to Streaming v0.7.0, `predownload` defaulted to max(batch_size, 256 * batch_size // num_canonical_nodes). +Special tokens have been added in the vocabulary, make sure the associated word embeddings are fine-tuned or trained. +Using local dataset /home/oweller/bert24-data/data/ProLong_text/arxiv/2-2... +Using tokenizer model bclavie/olmo_bert_template... +Using 1 processes for tokenization, with 1000 items per process. + Processing samples: 0%| | 0/30347 [00:00 + sample_dataset_from_config(args) + File "/home/oweller/bert24-data/src/bert24_data/tokenization/tokenize_mds.py", line 63, in sample_dataset_from_config + with MDSWriter(out=output_dir, columns=MDS_COLS_PRE_TOKENIZED, compression='zstd') as mds_writer: + File "/home/oweller/miniconda3/envs/bert24/lib/python3.10/site-packages/streaming/base/format/base/writer.py", line 354, in __exit__ + self.finish() + File "/home/oweller/miniconda3/envs/bert24/lib/python3.10/site-packages/streaming/base/format/base/writer.py", line 298, in finish + self.flush_shard() + File "/home/oweller/miniconda3/envs/bert24/lib/python3.10/site-packages/streaming/base/format/base/writer.py", line 428, in flush_shard + raw_data = self.encode_joint_shard() + File "/home/oweller/miniconda3/envs/bert24/lib/python3.10/site-packages/streaming/base/format/mds/writer.py", line 143, in encode_joint_shard + sample_data = b''.join(self.new_samples) +KeyboardInterrupt + Processing samples: 46%|████▌ | 14000/30347 [18:04<21:06, 12.91it/s] diff --git a/arxiv/2-3/shard.00000.mds b/arxiv/2-3/shard.00000.mds new file mode 100644 index 0000000000000000000000000000000000000000..1fab0429866b11e52c80a6330269d42dec8d1901 --- /dev/null +++ b/arxiv/2-3/shard.00000.mds @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:35ef0beea3edfd3f96972a4c5a54b2be7cfb524de93f540433436d1432639f9c +size 67091275 diff --git a/arxiv/2-3/shard.00002.mds b/arxiv/2-3/shard.00002.mds new file mode 100644 index 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Prior to Streaming v0.7.0, `predownload` defaulted to max(batch_size, 256 * batch_size // num_canonical_nodes). +Special tokens have been added in the vocabulary, make sure the associated word embeddings are fine-tuned or trained. +Using local dataset /home/oweller/bert24-data/data/ProLong_text/arxiv/3-9... +Using tokenizer model bclavie/olmo_bert_template... +Using 1 processes for tokenization, with 1000 items per process. + Processing samples: 0%| | 0/30846 [00:00 + sample_dataset_from_config(args) + File "/home/oweller/bert24-data/src/bert24_data/tokenization/tokenize_mds.py", line 63, in sample_dataset_from_config + with MDSWriter(out=output_dir, columns=MDS_COLS_PRE_TOKENIZED, compression='zstd') as mds_writer: + File "/home/oweller/miniconda3/envs/bert24/lib/python3.10/site-packages/streaming/base/format/base/writer.py", line 354, in __exit__ + self.finish() + File "/home/oweller/miniconda3/envs/bert24/lib/python3.10/site-packages/streaming/base/format/base/writer.py", line 298, in finish + self.flush_shard() + File "/home/oweller/miniconda3/envs/bert24/lib/python3.10/site-packages/streaming/base/format/base/writer.py", line 428, in flush_shard + raw_data = self.encode_joint_shard() + File "/home/oweller/miniconda3/envs/bert24/lib/python3.10/site-packages/streaming/base/format/mds/writer.py", line 143, in encode_joint_shard + sample_data = b''.join(self.new_samples) +KeyboardInterrupt + Processing samples: 42%|████▏ | 13000/30846 [18:06<24:51, 11.97it/s] diff --git a/arxiv/4-0/shard.00000.mds b/arxiv/4-0/shard.00000.mds new file mode 100644 index 0000000000000000000000000000000000000000..d6ed6a0ede2b8a1073fadf9dbd7040c951aecb66 --- /dev/null +++ b/arxiv/4-0/shard.00000.mds @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:62b9585b1d2cac4c40f686dd49aa6c944bb949e430900ff906a1710a617be099 +size 66464505 diff --git a/arxiv/4-0/shard.00001.mds b/arxiv/4-0/shard.00001.mds new file mode 100644 index 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