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arxiv/1-0/index.json

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null], "compression": "zstd", "format": "mds", "hashes": [], "raw_data": {"basename": "shard.00021.mds", "bytes": 67072998, "hashes": {}}, "samples": 1141, "size_limit": 67108864, "version": 2, "zip_data": {"basename": "shard.00021.mds.zstd", "bytes": 18791157, "hashes": {}}}, {"column_encodings": ["str", "str"], "column_names": ["domain", "text"], "column_sizes": [null, null], "compression": "zstd", "format": "mds", "hashes": [], "raw_data": {"basename": "shard.00022.mds", "bytes": 67103340, "hashes": {}}, "samples": 1189, "size_limit": 67108864, "version": 2, "zip_data": {"basename": "shard.00022.mds.zstd", "bytes": 19225198, "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": 67035255, "hashes": {}}, "samples": 1176, "size_limit": 67108864, "version": 2, "zip_data": {"basename": "shard.00023.mds.zstd", "bytes": 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arxiv/1-0/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/1-0...
+Using tokenizer model bclavie/olmo_bert_template...
+Using 1 processes for tokenization, with 1000 items per process.
+
+  File "/home/oweller/bert24-data/src/bert24_data/tokenization/tokenize_mds.py", line 81, in sample_dataset_from_config
+    results = pool.map(process_func, chunks)
+  File "/home/oweller/miniconda3/envs/bert24/lib/python3.10/multiprocessing/pool.py", line 367, in map
+    return self._map_async(func, iterable, mapstar, chunksize).get()
+  File "/home/oweller/miniconda3/envs/bert24/lib/python3.10/multiprocessing/pool.py", line 768, in get
+    self.wait(timeout)
+  File "/home/oweller/miniconda3/envs/bert24/lib/python3.10/multiprocessing/pool.py", line 765, in wait
+    self._event.wait(timeout)
+  File "/home/oweller/miniconda3/envs/bert24/lib/python3.10/threading.py", line 607, in wait
+    signaled = self._cond.wait(timeout)
+  File "/home/oweller/miniconda3/envs/bert24/lib/python3.10/threading.py", line 320, in wait
+    waiter.acquire()
+KeyboardInterrupt
+
+During handling of the above exception, another exception occurred:
+
+Traceback (most recent call last):
+  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
+
+During handling of the above exception, another exception occurred:
+
+Traceback (most recent call last):
+  File "/home/oweller/bert24-data/src/bert24_data/tokenization/tokenize_mds.py", line 108, in <module>
+    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
+

arxiv/1-2-tokenized/index.json

@@ -0,0 +1 @@
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arxiv/1-9/index.json

@@ -0,0 +1 @@
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null], "compression": "zstd", "format": "mds", "hashes": [], "raw_data": {"basename": "shard.00021.mds", "bytes": 67049825, "hashes": {}}, "samples": 1121, "size_limit": 67108864, "version": 2, "zip_data": {"basename": "shard.00021.mds.zstd", "bytes": 18979871, "hashes": {}}}, {"column_encodings": ["str", "str"], "column_names": ["domain", "text"], "column_sizes": [null, null], "compression": "zstd", "format": "mds", "hashes": [], "raw_data": {"basename": "shard.00022.mds", "bytes": 67082242, "hashes": {}}, "samples": 1157, "size_limit": 67108864, "version": 2, "zip_data": {"basename": "shard.00022.mds.zstd", "bytes": 19117254, "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": 67101038, "hashes": {}}, "samples": 1179, "size_limit": 67108864, "version": 2, "zip_data": {"basename": "shard.00023.mds.zstd", "bytes": 19101350, "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": 67062522, "hashes": {}}, "samples": 1156, "size_limit": 67108864, "version": 2, "zip_data": {"basename": "shard.00024.mds.zstd", "bytes": 19151541, "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": 67108658, "hashes": {}}, "samples": 1181, "size_limit": 67108864, "version": 2, "zip_data": {"basename": "shard.00025.mds.zstd", "bytes": 19032195, "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": 38009082, "hashes": {}}, "samples": 662, "size_limit": 67108864, "version": 2, "zip_data": {"basename": "shard.00026.mds.zstd", "bytes": 10840741, "hashes": {}}}], "version": 2}

arxiv/1-9/tokenize_output.log

@@ -0,0 +1,53 @@
+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/1-9...
+Using tokenizer model bclavie/olmo_bert_template...
+Using 1 processes for tokenization, with 1000 items per process.
+
+  File "/home/oweller/bert24-data/src/bert24_data/tokenization/tokenize_mds.py", line 81, in sample_dataset_from_config
+    results = pool.map(process_func, chunks)
+  File "/home/oweller/miniconda3/envs/bert24/lib/python3.10/multiprocessing/pool.py", line 367, in map
+    return self._map_async(func, iterable, mapstar, chunksize).get()
+  File "/home/oweller/miniconda3/envs/bert24/lib/python3.10/multiprocessing/pool.py", line 768, in get
+    self.wait(timeout)
+  File "/home/oweller/miniconda3/envs/bert24/lib/python3.10/multiprocessing/pool.py", line 765, in wait
+    self._event.wait(timeout)
+  File "/home/oweller/miniconda3/envs/bert24/lib/python3.10/threading.py", line 607, in wait
+    signaled = self._cond.wait(timeout)
+  File "/home/oweller/miniconda3/envs/bert24/lib/python3.10/threading.py", line 320, in wait
+    waiter.acquire()
+
+
+During handling of the above exception, another exception occurred:
+
+Traceback (most recent call last):
+  File "/home/oweller/bert24-data/src/bert24_data/tokenization/tokenize_mds.py", line 108, in <module>
+    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: <function _exit_function at 0x7fe53baeb6d0>
+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: 

arxiv/3-5/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": 67088818, "hashes": {}}, "samples": 1174, "size_limit": 67108864, "version": 2, "zip_data": {"basename": "shard.00000.mds.zstd", "bytes": 18921371, "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": 67067669, "hashes": {}}, "samples": 1141, "size_limit": 67108864, "version": 2, "zip_data": {"basename": "shard.00001.mds.zstd", "bytes": 18822394, "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": 67075171, "hashes": {}}, "samples": 1097, "size_limit": 67108864, "version": 2, "zip_data": {"basename": "shard.00002.mds.zstd", "bytes": 18994170, "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": 67052467, "hashes": {}}, "samples": 1241, "size_limit": 67108864, "version": 2, "zip_data": {"basename": "shard.00003.mds.zstd", "bytes": 19353368, "hashes": {}}}, {"column_encodings": ["str", "str"], "column_names": ["domain", "text"], "column_sizes": [null, null], "compression": "zstd", "format": "mds", "hashes": [], "raw_data": {"basename": "shard.00004.mds", "bytes": 67078438, "hashes": {}}, "samples": 1126, "size_limit": 67108864, "version": 2, "zip_data": {"basename": "shard.00004.mds.zstd", "bytes": 18914622, "hashes": {}}}, {"column_encodings": ["str", "str"], "column_names": ["domain", "text"], "column_sizes": [null, null], "compression": "zstd", "format": "mds", "hashes": [], "raw_data": {"basename": "shard.00005.mds", "bytes": 67047879, "hashes": {}}, "samples": 1204, "size_limit": 67108864, "version": 2, "zip_data": {"basename": "shard.00005.mds.zstd", "bytes": 19260576, "hashes": {}}}, {"column_encodings": ["str", "str"], "column_names": ["domain", "text"], "column_sizes": [null, null], "compression": "zstd", "format": "mds", "hashes": [], "raw_data": {"basename": "shard.00006.mds", "bytes": 66868414, "hashes": {}}, "samples": 1124, "size_limit": 67108864, "version": 2, "zip_data": {"basename": "shard.00006.mds.zstd", "bytes": 18605569, "hashes": {}}}, {"column_encodings": ["str", "str"], "column_names": ["domain", "text"], "column_sizes": [null, null], "compression": "zstd", "format": "mds", "hashes": [], "raw_data": {"basename": "shard.00007.mds", "bytes": 67085858, "hashes": {}}, "samples": 1168, "size_limit": 67108864, "version": 2, "zip_data": {"basename": "shard.00007.mds.zstd", "bytes": 18847097, "hashes": {}}}, {"column_encodings": ["str", "str"], "column_names": ["domain", "text"], "column_sizes": [null, null], "compression": "zstd", "format": "mds", "hashes": [], "raw_data": {"basename": "shard.00008.mds", "bytes": 67086230, "hashes": {}}, "samples": 1229, "size_limit": 67108864, "version": 2, "zip_data": {"basename": "shard.00008.mds.zstd", "bytes": 19233161, "hashes": {}}}, {"column_encodings": ["str", "str"], "column_names": ["domain", "text"], "column_sizes": [null, null], "compression": "zstd", "format": "mds", "hashes": [], "raw_data": {"basename": "shard.00009.mds", "bytes": 67074425, "hashes": {}}, "samples": 1161, "size_limit": 67108864, "version": 2, "zip_data": {"basename": "shard.00009.mds.zstd", "bytes": 19093776, "hashes": {}}}, {"column_encodings": ["str", "str"], "column_names": ["domain", "text"], "column_sizes": [null, null], "compression": "zstd", "format": "mds", "hashes": [], "raw_data": {"basename": "shard.00010.mds", "bytes": 67101169, 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null], "compression": "zstd", "format": "mds", "hashes": [], "raw_data": {"basename": "shard.00013.mds", "bytes": 67085854, "hashes": {}}, "samples": 1147, "size_limit": 67108864, "version": 2, "zip_data": {"basename": "shard.00013.mds.zstd", "bytes": 19033194, "hashes": {}}}, {"column_encodings": ["str", "str"], "column_names": ["domain", "text"], "column_sizes": [null, null], "compression": "zstd", "format": "mds", "hashes": [], "raw_data": {"basename": "shard.00014.mds", "bytes": 67029334, "hashes": {}}, "samples": 1213, "size_limit": 67108864, "version": 2, "zip_data": {"basename": "shard.00014.mds.zstd", "bytes": 19300830, "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": 67089113, "hashes": {}}, "samples": 1171, "size_limit": 67108864, "version": 2, "zip_data": {"basename": "shard.00015.mds.zstd", "bytes": 19330319, "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": 67102474, "hashes": {}}, "samples": 1188, "size_limit": 67108864, "version": 2, "zip_data": {"basename": "shard.00016.mds.zstd", "bytes": 18961637, "hashes": {}}}, {"column_encodings": ["str", "str"], "column_names": ["domain", "text"], "column_sizes": [null, null], "compression": "zstd", "format": "mds", "hashes": [], "raw_data": {"basename": "shard.00017.mds", "bytes": 67106226, "hashes": {}}, "samples": 1172, "size_limit": 67108864, "version": 2, "zip_data": {"basename": "shard.00017.mds.zstd", "bytes": 18928076, "hashes": {}}}, {"column_encodings": ["str", "str"], "column_names": ["domain", "text"], "column_sizes": [null, null], "compression": "zstd", "format": "mds", "hashes": [], "raw_data": {"basename": "shard.00018.mds", "bytes": 67100850, "hashes": {}}, "samples": 1177, "size_limit": 67108864, "version": 2, "zip_data": {"basename": "shard.00018.mds.zstd", "bytes": 19181471, "hashes": {}}}, {"column_encodings": ["str", "str"], "column_names": ["domain", "text"], "column_sizes": [null, null], "compression": "zstd", "format": "mds", "hashes": [], "raw_data": {"basename": "shard.00019.mds", "bytes": 67061234, "hashes": {}}, "samples": 1156, "size_limit": 67108864, "version": 2, "zip_data": {"basename": "shard.00019.mds.zstd", "bytes": 18895354, "hashes": {}}}, {"column_encodings": ["str", "str"], "column_names": ["domain", "text"], "column_sizes": [null, null], "compression": "zstd", "format": "mds", "hashes": [], "raw_data": {"basename": "shard.00020.mds", "bytes": 67032915, "hashes": {}}, "samples": 1173, "size_limit": 67108864, "version": 2, "zip_data": {"basename": "shard.00020.mds.zstd", "bytes": 19186275, "hashes": {}}}, {"column_encodings": ["str", "str"], "column_names": ["domain", "text"], "column_sizes": [null, null], "compression": "zstd", "format": "mds", "hashes": [], "raw_data": {"basename": "shard.00021.mds", "bytes": 67103690, "hashes": {}}, "samples": 1189, "size_limit": 67108864, "version": 2, "zip_data": {"basename": "shard.00021.mds.zstd", "bytes": 19143280, "hashes": {}}}, {"column_encodings": ["str", "str"], "column_names": ["domain", "text"], "column_sizes": [null, null], "compression": "zstd", "format": "mds", "hashes": [], "raw_data": {"basename": "shard.00022.mds", "bytes": 67096165, "hashes": {}}, "samples": 1150, "size_limit": 67108864, "version": 2, "zip_data": {"basename": "shard.00022.mds.zstd", "bytes": 19071181, "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": 67029727, "hashes": {}}, "samples": 1222, "size_limit": 67108864, "version": 2, "zip_data": {"basename": "shard.00023.mds.zstd", "bytes": 19183170, "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": 67099913, "hashes": {}}, "samples": 1170, "size_limit": 67108864, "version": 2, "zip_data": {"basename": "shard.00024.mds.zstd", "bytes": 19195526, "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": 67058197, "hashes": {}}, "samples": 1157, "size_limit": 67108864, "version": 2, "zip_data": {"basename": "shard.00025.mds.zstd", "bytes": 18770549, "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": 3535957, "hashes": {}}, "samples": 54, "size_limit": 67108864, "version": 2, "zip_data": {"basename": "shard.00026.mds.zstd", "bytes": 980174, "hashes": {}}}], "version": 2}

arxiv/3-5/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/3-5...
+Using tokenizer model bclavie/olmo_bert_template...
+Using 1 processes for tokenization, with 1000 items per process.
+
+  File "/home/oweller/bert24-data/src/bert24_data/tokenization/tokenize_mds.py", line 81, in sample_dataset_from_config
+    results = pool.map(process_func, chunks)
+  File "/home/oweller/miniconda3/envs/bert24/lib/python3.10/multiprocessing/pool.py", line 367, in map
+    return self._map_async(func, iterable, mapstar, chunksize).get()
+  File "/home/oweller/miniconda3/envs/bert24/lib/python3.10/multiprocessing/pool.py", line 768, in get
+    self.wait(timeout)
+  File "/home/oweller/miniconda3/envs/bert24/lib/python3.10/multiprocessing/pool.py", line 765, in wait
+    self._event.wait(timeout)
+  File "/home/oweller/miniconda3/envs/bert24/lib/python3.10/threading.py", line 607, in wait
+    signaled = self._cond.wait(timeout)
+  File "/home/oweller/miniconda3/envs/bert24/lib/python3.10/threading.py", line 320, in wait
+    waiter.acquire()
+KeyboardInterrupt
+
+During handling of the above exception, another exception occurred:
+
+Traceback (most recent call last):
+  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
+
+During handling of the above exception, another exception occurred:
+
+Traceback (most recent call last):
+  File "/home/oweller/bert24-data/src/bert24_data/tokenization/tokenize_mds.py", line 108, in <module>
+    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
+

arxiv/4-3-tokenized/index.json

@@ -0,0 +1 @@
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arxiv/4-4-tokenized/index.json

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arxiv/5-0/index.json

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"hashes": {}}, "samples": 135, "size_limit": 67108864, "version": 2, "zip_data": {"basename": "shard.00026.mds.zstd", "bytes": 2357591, "hashes": {}}}], "version": 2}

arxiv/5-0/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/5-0...
+Using tokenizer model bclavie/olmo_bert_template...
+Using 1 processes for tokenization, with 1000 items per process.
+
+  File "/home/oweller/bert24-data/src/bert24_data/tokenization/tokenize_mds.py", line 81, in sample_dataset_from_config
+    results = pool.map(process_func, chunks)
+  File "/home/oweller/miniconda3/envs/bert24/lib/python3.10/multiprocessing/pool.py", line 367, in map
+    return self._map_async(func, iterable, mapstar, chunksize).get()
+  File "/home/oweller/miniconda3/envs/bert24/lib/python3.10/multiprocessing/pool.py", line 768, in get
+    self.wait(timeout)
+  File "/home/oweller/miniconda3/envs/bert24/lib/python3.10/multiprocessing/pool.py", line 765, in wait
+    self._event.wait(timeout)
+  File "/home/oweller/miniconda3/envs/bert24/lib/python3.10/threading.py", line 607, in wait
+    signaled = self._cond.wait(timeout)
+  File "/home/oweller/miniconda3/envs/bert24/lib/python3.10/threading.py", line 320, in wait
+    waiter.acquire()
+KeyboardInterrupt
+
+During handling of the above exception, another exception occurred:
+
+Traceback (most recent call last):
+  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
+
+During handling of the above exception, another exception occurred:
+
+Traceback (most recent call last):
+  File "/home/oweller/bert24-data/src/bert24_data/tokenization/tokenize_mds.py", line 108, in <module>
+    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
+

arxiv/6-1/index.json

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