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botp
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irefly-train-1.1M

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train

The dataset viewer is not available for this split.

Cannot extract the features (columns) for the split 'train' of the config 'default' of the dataset.

Error code:   FeaturesError
Exception:    HfHubHTTPError
Message:      404 Client Error: Not Found for url: https://s3.us-east-1.amazonaws.com/lfs.huggingface.co/repos/c0/67/c067e018e76b835433a1634d59a85150013b811f7fd07c0b40787b4169e996cc/31866264531f849b3eddd5a8bc51e6e611226425654188ac05c94fd283a658c7?X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Content-Sha256=UNSIGNED-PAYLOAD&X-Amz-Credential=AKIA4N7VTDGO27GPWFUO%2F20240421%2Fus-east-1%2Fs3%2Faws4_request&X-Amz-Date=20240421T072652Z&X-Amz-Expires=259200&X-Amz-Signature=35e65c6460008512a36a8a579a8160fd43a2ecf0343f804d9a8bed51e982832c&X-Amz-SignedHeaders=host&response-content-disposition=attachment%3B%20filename%2A%3DUTF-8%27%27firefly-train-1.1M.jsonl%3B%20filename%3D%22firefly-train-1.1M.jsonl%22%3B&x-id=GetObject
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/split/first_rows.py", line 328, in compute
                  compute_first_rows_from_parquet_response(
                File "/src/services/worker/src/worker/job_runners/split/first_rows.py", line 88, in compute_first_rows_from_parquet_response
                  rows_index = indexer.get_rows_index(
                File "/src/libs/libcommon/src/libcommon/parquet_utils.py", line 631, in get_rows_index
                  return RowsIndex(
                File "/src/libs/libcommon/src/libcommon/parquet_utils.py", line 512, in __init__
                  self.parquet_index = self._init_parquet_index(
                File "/src/libs/libcommon/src/libcommon/parquet_utils.py", line 529, in _init_parquet_index
                  response = get_previous_step_or_raise(
                File "/src/libs/libcommon/src/libcommon/simple_cache.py", line 566, in get_previous_step_or_raise
                  raise CachedArtifactError(
              libcommon.simple_cache.CachedArtifactError: The previous step failed.
              
              During handling of the above exception, another exception occurred:
              
              Traceback (most recent call last):
                File "/src/services/worker/.venv/lib/python3.9/site-packages/huggingface_hub/utils/_errors.py", line 304, in hf_raise_for_status
                  response.raise_for_status()
                File "/src/services/worker/.venv/lib/python3.9/site-packages/requests/models.py", line 1021, in raise_for_status
                  raise HTTPError(http_error_msg, response=self)
              requests.exceptions.HTTPError: 404 Client Error: Not Found for url: https://s3.us-east-1.amazonaws.com/lfs.huggingface.co/repos/c0/67/c067e018e76b835433a1634d59a85150013b811f7fd07c0b40787b4169e996cc/31866264531f849b3eddd5a8bc51e6e611226425654188ac05c94fd283a658c7?X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Content-Sha256=UNSIGNED-PAYLOAD&X-Amz-Credential=AKIA4N7VTDGO27GPWFUO%2F20240421%2Fus-east-1%2Fs3%2Faws4_request&X-Amz-Date=20240421T072652Z&X-Amz-Expires=259200&X-Amz-Signature=35e65c6460008512a36a8a579a8160fd43a2ecf0343f804d9a8bed51e982832c&X-Amz-SignedHeaders=host&response-content-disposition=attachment%3B%20filename%2A%3DUTF-8%27%27firefly-train-1.1M.jsonl%3B%20filename%3D%22firefly-train-1.1M.jsonl%22%3B&x-id=GetObject
              
              The above exception was the direct cause of the following exception:
              
              Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/split/first_rows.py", line 243, in compute_first_rows_from_streaming_response
                  iterable_dataset = iterable_dataset._resolve_features()
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 2215, in _resolve_features
                  features = _infer_features_from_batch(self.with_format(None)._head())
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 1239, in _head
                  return _examples_to_batch(list(self.take(n)))
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 1388, in __iter__
                  for key, example in ex_iterable:
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 1044, in __iter__
                  yield from islice(self.ex_iterable, self.n)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 282, in __iter__
                  for key, pa_table in self.generate_tables_fn(**self.kwargs):
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/packaged_modules/json/json.py", line 107, in _generate_tables
                  batch = f.read(self.config.chunksize)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/download/streaming_download_manager.py", line 342, in read_with_retries
                  out = read(*args, **kwargs)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/huggingface_hub/hf_file_system.py", line 742, in read
                  return super().read(length)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/fsspec/spec.py", line 1856, in read
                  out = self.cache._fetch(self.loc, self.loc + length)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/fsspec/caching.py", line 189, in _fetch
                  self.cache = self.fetcher(start, end)  # new block replaces old
                File "/src/services/worker/.venv/lib/python3.9/site-packages/huggingface_hub/hf_file_system.py", line 705, in _fetch_range
                  hf_raise_for_status(r)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/huggingface_hub/utils/_errors.py", line 371, in hf_raise_for_status
                  raise HfHubHTTPError(str(e), response=response) from e
              huggingface_hub.utils._errors.HfHubHTTPError: 404 Client Error: Not Found for url: https://s3.us-east-1.amazonaws.com/lfs.huggingface.co/repos/c0/67/c067e018e76b835433a1634d59a85150013b811f7fd07c0b40787b4169e996cc/31866264531f849b3eddd5a8bc51e6e611226425654188ac05c94fd283a658c7?X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Content-Sha256=UNSIGNED-PAYLOAD&X-Amz-Credential=AKIA4N7VTDGO27GPWFUO%2F20240421%2Fus-east-1%2Fs3%2Faws4_request&X-Amz-Date=20240421T072652Z&X-Amz-Expires=259200&X-Amz-Signature=35e65c6460008512a36a8a579a8160fd43a2ecf0343f804d9a8bed51e982832c&X-Amz-SignedHeaders=host&response-content-disposition=attachment%3B%20filename%2A%3DUTF-8%27%27firefly-train-1.1M.jsonl%3B%20filename%3D%22firefly-train-1.1M.jsonl%22%3B&x-id=GetObject

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本数据应用于项目：Firefly（流萤）: 中文对话式大语言模型，训练后得到的模型firefly-1b4

如果您觉得此数据集对您有帮助，请like此数据集并在Github项目中star我们。

我们收集了23个常见的中文数据集，对于每个任务，由人工书写若干种指令模板，保证数据的高质量与丰富度，数据量为115万。数据分布如下图所示：

每条数据的格式如下，包含任务类型、输入、目标输出：

{
  "kind": "ClassicalChinese", 
  "input": "将下面句子翻译成现代文：\n石中央又生一树，高百余尺，条干偃阴为五色，翠叶如盘，花径尺余，色深碧，蕊深红，异香成烟，著物霏霏。",
  "target": "大石的中央长着一棵树，一百多尺高，枝干是彩色的，树叶有盘子那样大，花的直径有一尺宽，花瓣深蓝色，花中飘出奇异的香气笼罩着周围，如烟似雾。"
}

训练数据集的token长度分布如下图所示，绝大部分数据的长度都小于600：

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