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arxiv/0-5/index.json

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null], "compression": "zstd", "format": "mds", "hashes": [], "raw_data": {"basename": "shard.00021.mds", "bytes": 67087102, "hashes": {}}, "samples": 1132, "size_limit": 67108864, "version": 2, "zip_data": {"basename": "shard.00021.mds.zstd", "bytes": 19026951, "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": 67053922, "hashes": {}}, "samples": 1167, "size_limit": 67108864, "version": 2, "zip_data": {"basename": "shard.00022.mds.zstd", "bytes": 19005980, "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": 67105097, "hashes": {}}, "samples": 1232, "size_limit": 67108864, "version": 2, "zip_data": {"basename": "shard.00023.mds.zstd", "bytes": 19270534, "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": 67103293, "hashes": {}}, "samples": 1182, "size_limit": 67108864, "version": 2, "zip_data": {"basename": "shard.00024.mds.zstd", "bytes": 19096485, "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": 61956037, "hashes": {}}, "samples": 1003, "size_limit": 67108864, "version": 2, "zip_data": {"basename": "shard.00025.mds.zstd", "bytes": 17444136, "hashes": {}}}], "version": 2}

arxiv/0-5/tokenize_output.log

@@ -0,0 +1,66 @@
+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/0-5...
+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 300, in finish
+    self._write_index()
+  File "/home/oweller/miniconda3/envs/bert24/lib/python3.10/site-packages/streaming/base/format/base/writer.py", line 289, in _write_index
+    sleep(1)
+KeyboardInterrupt
+Exception ignored in atexit callback: <function _exit_function at 0x7f7e9d9e76d0>
+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/2-3/index.json

@@ -0,0 +1 @@
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"samples": 1216, "size_limit": 67108864, "version": 2, "zip_data": {"basename": "shard.00002.mds.zstd", "bytes": 19353048, "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": 67032761, "hashes": {}}, "samples": 1170, "size_limit": 67108864, "version": 2, "zip_data": {"basename": "shard.00003.mds.zstd", "bytes": 18988284, "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": 67074352, "hashes": {}}, "samples": 1159, "size_limit": 67108864, "version": 2, "zip_data": {"basename": "shard.00004.mds.zstd", "bytes": 18891960, "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": 67085925, "hashes": {}}, "samples": 1200, "size_limit": 67108864, "version": 2, "zip_data": {"basename": "shard.00005.mds.zstd", "bytes": 19162230, "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": 67107822, "hashes": {}}, "samples": 1219, "size_limit": 67108864, "version": 2, "zip_data": {"basename": "shard.00006.mds.zstd", "bytes": 19238171, "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": 67072740, "hashes": {}}, "samples": 1169, "size_limit": 67108864, "version": 2, "zip_data": {"basename": "shard.00007.mds.zstd", "bytes": 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null], "compression": "zstd", "format": "mds", "hashes": [], "raw_data": {"basename": "shard.00013.mds", "bytes": 67102994, "hashes": {}}, "samples": 1135, "size_limit": 67108864, "version": 2, "zip_data": {"basename": "shard.00013.mds.zstd", "bytes": 19116711, "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": 67099537, "hashes": {}}, "samples": 1145, "size_limit": 67108864, "version": 2, "zip_data": {"basename": "shard.00014.mds.zstd", "bytes": 19065077, "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": 67062110, "hashes": {}}, "samples": 1165, "size_limit": 67108864, "version": 2, "zip_data": {"basename": "shard.00015.mds.zstd", "bytes": 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"hashes": {}}, "samples": 1239, "size_limit": 67108864, "version": 2, "zip_data": {"basename": "shard.00018.mds.zstd", "bytes": 19157849, "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": 67099780, "hashes": {}}, "samples": 1194, "size_limit": 67108864, "version": 2, "zip_data": {"basename": "shard.00019.mds.zstd", "bytes": 19109854, "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": 67107177, "hashes": {}}, "samples": 1206, "size_limit": 67108864, "version": 2, "zip_data": {"basename": "shard.00020.mds.zstd", "bytes": 19307005, "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": 67054233, "hashes": {}}, "samples": 1200, "size_limit": 67108864, "version": 2, "zip_data": {"basename": "shard.00021.mds.zstd", "bytes": 19033111, "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": 67075509, "hashes": {}}, "samples": 1157, "size_limit": 67108864, "version": 2, "zip_data": {"basename": "shard.00022.mds.zstd", "bytes": 19138702, "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": 67033015, "hashes": {}}, "samples": 1109, "size_limit": 67108864, "version": 2, "zip_data": {"basename": "shard.00023.mds.zstd", "bytes": 18637192, "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": 67106354, "hashes": {}}, "samples": 1199, "size_limit": 67108864, "version": 2, "zip_data": {"basename": "shard.00024.mds.zstd", "bytes": 19204410, "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": 43582943, "hashes": {}}, "samples": 760, "size_limit": 67108864, "version": 2, "zip_data": {"basename": "shard.00025.mds.zstd", "bytes": 12355154, "hashes": {}}}], "version": 2}

arxiv/2-3/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/2-3...
+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/2-7/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": 67079885, "hashes": {}}, "samples": 1185, "size_limit": 67108864, "version": 2, "zip_data": {"basename": "shard.00000.mds.zstd", "bytes": 19188028, "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": 67086193, "hashes": {}}, "samples": 1109, "size_limit": 67108864, "version": 2, "zip_data": {"basename": "shard.00001.mds.zstd", "bytes": 18922840, "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": 67099564, "hashes": {}}, "samples": 1148, "size_limit": 67108864, "version": 2, "zip_data": {"basename": "shard.00002.mds.zstd", "bytes": 19123911, "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": 67085376, "hashes": {}}, "samples": 1169, "size_limit": 67108864, "version": 2, "zip_data": {"basename": "shard.00003.mds.zstd", "bytes": 18959381, "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": 67086248, "hashes": {}}, "samples": 1209, "size_limit": 67108864, "version": 2, "zip_data": {"basename": "shard.00004.mds.zstd", "bytes": 19231134, "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": 67081158, "hashes": {}}, "samples": 1178, "size_limit": 67108864, "version": 2, "zip_data": {"basename": "shard.00005.mds.zstd", "bytes": 19257761, "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": 67030400, "hashes": {}}, "samples": 1158, "size_limit": 67108864, "version": 2, "zip_data": {"basename": "shard.00006.mds.zstd", "bytes": 18578015, "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": 67101681, "hashes": {}}, "samples": 1125, "size_limit": 67108864, "version": 2, "zip_data": {"basename": "shard.00007.mds.zstd", "bytes": 19074539, "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": 67073800, "hashes": {}}, "samples": 1169, "size_limit": 67108864, "version": 2, "zip_data": {"basename": "shard.00008.mds.zstd", "bytes": 19120632, "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": 67097231, "hashes": {}}, "samples": 1134, "size_limit": 67108864, "version": 2, "zip_data": {"basename": "shard.00009.mds.zstd", "bytes": 18920365, "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": 66992538, "hashes": {}}, "samples": 1193, "size_limit": 67108864, "version": 2, "zip_data": {"basename": "shard.00010.mds.zstd", "bytes": 19106503, "hashes": {}}}, {"column_encodings": ["str", "str"], "column_names": ["domain", "text"], "column_sizes": [null, null], "compression": "zstd", "format": "mds", "hashes": [], "raw_data": {"basename": "shard.00011.mds", "bytes": 67077116, "hashes": {}}, "samples": 1219, "size_limit": 67108864, "version": 2, "zip_data": {"basename": "shard.00011.mds.zstd", "bytes": 19119646, "hashes": {}}}, {"column_encodings": ["str", "str"], "column_names": ["domain", "text"], "column_sizes": [null, null], "compression": "zstd", "format": "mds", "hashes": [], "raw_data": {"basename": "shard.00012.mds", "bytes": 67093794, "hashes": {}}, "samples": 1177, "size_limit": 67108864, "version": 2, "zip_data": {"basename": "shard.00012.mds.zstd", "bytes": 19278512, "hashes": {}}}, {"column_encodings": ["str", "str"], "column_names": ["domain", "text"], "column_sizes": [null, null], "compression": "zstd", "format": "mds", "hashes": [], "raw_data": {"basename": "shard.00013.mds", "bytes": 67038581, "hashes": {}}, "samples": 1076, "size_limit": 67108864, "version": 2, "zip_data": {"basename": "shard.00013.mds.zstd", "bytes": 18899535, "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": 67055686, "hashes": {}}, "samples": 1170, "size_limit": 67108864, "version": 2, "zip_data": {"basename": "shard.00014.mds.zstd", "bytes": 19008310, "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": 67053883, "hashes": {}}, "samples": 1154, "size_limit": 67108864, "version": 2, "zip_data": {"basename": "shard.00015.mds.zstd", "bytes": 18915663, "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": 67073551, "hashes": {}}, "samples": 1161, "size_limit": 67108864, "version": 2, "zip_data": {"basename": "shard.00016.mds.zstd", "bytes": 19054620, "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": 66984929, "hashes": {}}, "samples": 1209, "size_limit": 67108864, "version": 2, "zip_data": {"basename": "shard.00017.mds.zstd", "bytes": 19172228, "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": 67080811, "hashes": {}}, "samples": 1223, "size_limit": 67108864, "version": 2, "zip_data": {"basename": "shard.00018.mds.zstd", "bytes": 19373992, "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": 67092176, "hashes": {}}, "samples": 1186, "size_limit": 67108864, "version": 2, "zip_data": {"basename": "shard.00019.mds.zstd", "bytes": 19047620, "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": 67069913, "hashes": {}}, "samples": 1159, "size_limit": 67108864, "version": 2, "zip_data": {"basename": "shard.00020.mds.zstd", "bytes": 19101877, "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": 67108597, "hashes": {}}, "samples": 1100, "size_limit": 67108864, "version": 2, "zip_data": {"basename": "shard.00021.mds.zstd", "bytes": 18867515, "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": 67074410, "hashes": {}}, "samples": 1160, "size_limit": 67108864, "version": 2, "zip_data": {"basename": "shard.00022.mds.zstd", "bytes": 19066352, "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": 66737009, "hashes": {}}, "samples": 1204, "size_limit": 67108864, "version": 2, "zip_data": {"basename": "shard.00023.mds.zstd", "bytes": 19414733, "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": 67063863, "hashes": {}}, "samples": 1175, "size_limit": 67108864, "version": 2, "zip_data": {"basename": "shard.00024.mds.zstd", "bytes": 19092020, "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": 67019267, "hashes": {}}, "samples": 1095, "size_limit": 67108864, "version": 2, "zip_data": {"basename": "shard.00025.mds.zstd", "bytes": 18604703, "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": 34219390, "hashes": {}}, "samples": 604, "size_limit": 67108864, "version": 2, "zip_data": {"basename": "shard.00026.mds.zstd", "bytes": 9845654, "hashes": {}}}], "version": 2}

arxiv/2-7/tokenize_output.log

@@ -0,0 +1,128 @@
+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/2-7...
+Using tokenizer model bclavie/olmo_bert_template...
+Using 1 processes for tokenization, with 1000 items per process.
+
+Traceback (most recent call last):
+  File "/home/oweller/miniconda3/envs/bert24/lib/python3.10/multiprocessing/process.py", line 314, in _bootstrap
+    self.run()
+  File "/home/oweller/miniconda3/envs/bert24/lib/python3.10/multiprocessing/process.py", line 108, in run
+    self._target(*self._args, **self._kwargs)
+  File "/home/oweller/miniconda3/envs/bert24/lib/python3.10/multiprocessing/pool.py", line 114, in worker
+    task = get()
+  File "/home/oweller/miniconda3/envs/bert24/lib/python3.10/multiprocessing/queues.py", line 365, in get
+    res = self._reader.recv_bytes()
+  File "/home/oweller/miniconda3/envs/bert24/lib/python3.10/multiprocessing/connection.py", line 216, in recv_bytes
+    buf = self._recv_bytes(maxlength)
+  File "/home/oweller/miniconda3/envs/bert24/lib/python3.10/multiprocessing/connection.py", line 414, in _recv_bytes
+    buf = self._recv(4)
+  File "/home/oweller/miniconda3/envs/bert24/lib/python3.10/multiprocessing/connection.py", line 379, in _recv
+    chunk = read(handle, remaining)
+KeyboardInterrupt
+Traceback (most recent call last):
+  File "/home/oweller/miniconda3/envs/bert24/lib/python3.10/site-packages/streaming/base/dataset.py", line 1235, in get_item
+    sample = shard[shard_sample_id]
+  File "/home/oweller/miniconda3/envs/bert24/lib/python3.10/site-packages/streaming/base/array.py", line 90, in __getitem__
+    return self.get_item(at)
+  File "/home/oweller/miniconda3/envs/bert24/lib/python3.10/site-packages/streaming/base/format/base/reader.py", line 319, in get_item
+    data = self.get_sample_data(idx)
+  File "/home/oweller/miniconda3/envs/bert24/lib/python3.10/site-packages/streaming/base/format/mds/reader.py", line 138, in get_sample_data
+    with open(filename, 'rb', 0) as fp:
+FileNotFoundError: [Errno 2] No such file or directory: '/home/oweller/bert24-data/data/ProLong_text/arxiv/2-7/shard.00012.mds'
+
+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 74, in sample_dataset_from_config
+    chunk = [dataset[k] for k in range(start, end)]
+  File "/home/oweller/bert24-data/src/bert24_data/tokenization/tokenize_mds.py", line 74, in <listcomp>
+    chunk = [dataset[k] for k in range(start, end)]
+  File "/home/oweller/miniconda3/envs/bert24/lib/python3.10/site-packages/streaming/base/array.py", line 90, in __getitem__
+    return self.get_item(at)
+  File "/home/oweller/miniconda3/envs/bert24/lib/python3.10/site-packages/streaming/base/dataset.py", line 1252, in get_item
+    self.prepare_shard(shard_id)
+  File "/home/oweller/miniconda3/envs/bert24/lib/python3.10/site-packages/streaming/base/dataset.py", line 1199, in prepare_shard
+    delta = stream.prepare_shard(shard)  # Decompress and remove zip.
+  File "/home/oweller/miniconda3/envs/bert24/lib/python3.10/site-packages/streaming/base/stream.py", line 421, in prepare_shard
+    delta += self._prepare_shard_part(raw_info, zip_info, shard.compression)
+  File "/home/oweller/miniconda3/envs/bert24/lib/python3.10/site-packages/streaming/base/stream.py", line 389, in _prepare_shard_part
+    self._decompress_shard_part(zip_info, zip_filename, raw_filename, compression)
+  File "/home/oweller/miniconda3/envs/bert24/lib/python3.10/site-packages/streaming/base/stream.py", line 339, in _decompress_shard_part
+    data = decompress(compression, data)  # pyright: ignore
+  File "/home/oweller/miniconda3/envs/bert24/lib/python3.10/site-packages/streaming/base/compression.py", line 258, in decompress
+    return obj.decompress(data)
+  File "/home/oweller/miniconda3/envs/bert24/lib/python3.10/site-packages/streaming/base/compression.py", line 156, in decompress
+    return zstd.decompress(data)
+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 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: <bound method finalize._exitfunc of <class 'weakref.finalize'>>
+Traceback (most recent call last):
+  File "/home/oweller/miniconda3/envs/bert24/lib/python3.10/weakref.py", line 667, in _exitfunc
+    f()
+  File "/home/oweller/miniconda3/envs/bert24/lib/python3.10/weakref.py", line 591, in __call__
+    return info.func(*info.args, **(info.kwargs or {}))
+  File "/home/oweller/miniconda3/envs/bert24/lib/python3.10/site-packages/urllib3/connectionpool.py", line 1180, in _close_pool_connections
+    conn.close()
+  File "/home/oweller/miniconda3/envs/bert24/lib/python3.10/site-packages/urllib3/connection.py", line 275, in close
+    super().close()
+  File "/home/oweller/miniconda3/envs/bert24/lib/python3.10/http/client.py", line 961, in close
+    sock.close()   # close it manually... there may be other refs
+  File "/home/oweller/miniconda3/envs/bert24/lib/python3.10/socket.py", line 502, in close
+    self._real_close()
+  File "/home/oweller/miniconda3/envs/bert24/lib/python3.10/ssl.py", line 1366, in _real_close
+    super()._real_close()
+KeyboardInterrupt: 
+Exception ignored in atexit callback: <function _exit_function at 0x7f6d476df6d0>
+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/4-0/index.json

@@ -0,0 +1 @@
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arxiv/4-0/tokenize_output.log

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+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/4-0...
+Using tokenizer model bclavie/olmo_bert_template...
+Using 1 processes for tokenization, with 1000 items per process.
+
+
+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/4-2/index.json

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arxiv/4-2/tokenize_output.log

@@ -0,0 +1,39 @@
+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/4-2...
+Using tokenizer model bclavie/olmo_bert_template...
+Using 1 processes for tokenization, with 1000 items per process.
+
+
+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
+
+Traceback (most recent call last):
+  File "/home/oweller/miniconda3/envs/bert24/lib/python3.10/site-packages/tqdm/_monitor.py", line 44, in exit
+    self.join()
+  File "/home/oweller/miniconda3/envs/bert24/lib/python3.10/threading.py", line 1096, in join
+    self._wait_for_tstate_lock()
+  File "/home/oweller/miniconda3/envs/bert24/lib/python3.10/threading.py", line 1116, in _wait_for_tstate_lock
+    if lock.acquire(block, timeout):
+KeyboardInterrupt: 
+

arxiv/5-9/index.json

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arxiv/6-5/index.json

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arxiv/6-8/index.json

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arxiv/7-9/index.json

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